// Norton-Gauss · Landing page content
// ─────────────────────────────────────────────────────────────
// Repositioned (Jun 2026): Hyper-Automation & Agentic AI lead the story.
// Cloud & edge, custom software and operations transformation support the
// automation-first operating model. "Orchestration" is a supporting verb,
// not the central narrative.
//
// Practices:
//   01  Hyper-Automation
//   02  Agentic AI
//   03  Cloud & Edge
//   04  Custom Software Development
//   05  Operations Transformation

window.NG = {

  brand: {
    name: 'Norton-Gauss',
    tagline: 'Consulting & engineering, in one pod.',
    promise: 'Automate, augment, and scale operations.',
  },

  // ─── Hero ───────────────────────────────────────────────────────
  hero: {
    eyebrow: 'Hyper-Automation & Agentic AI · consulting + engineering',
    h1Lines: [
      { type: 'plain', text: 'Design,' },
      { type: 'plain', text: 'automate' },
      { type: 'plain', text: 'and' },
      { type: 'plain', text: 'scale', italic: true, lime: true },
      { type: 'plain', text: 'intelligent operations.' },
    ],
    sub: "Norton-Gauss helps companies modernize workflows through hyper-automation, Agentic AI, cloud-edge systems and custom software — built around real business outcomes. We don't just advise. We diagnose, design, build, integrate and help you operate.",
    counters: [
      { v: '5',   k: 'Capability pillars' },
      { v: '3',   k: 'Delivery HQs' },
      { v: '120', unit: '+', k: 'Senior engineers & consultants' },
      { v: '2019', k: 'Founded' },
    ],
  },

  // ─── Manifesto banner — the business problem ────────────────────
  manifestoBanner: {
    pre: 'Pilots are easy.',
    post: 'Production is ',
    em: 'hard.',
    sub: 'Most AI and automation initiatives stall before they touch real operations. We build the ones that ship.',
  },

  // ─── Thesis — the problem with the way operations work today ────
  thesis: {
    eyebrow: '01 · The problem',
    h2A: 'Most operations are still ',
    h2Em: 'manual,',
    h2B: ' fragmented and slow.',
    sub: 'Teams move data between disconnected tools by hand. AI pilots prove value, then stall at the edge of production. Leadership lacks real-time visibility. Automation fails when it is bolted on instead of designed into the process. We close that gap — from strategy to working systems.',
    then: {
      tag: 'The default state',
      h: 'Manual workflows, disconnected tools, no real-time visibility.',
      items: [
        'Manual processes slow execution and add cost at every handoff.',
        'Teams waste hours moving data between systems that do not talk.',
        'AI pilots stay disconnected from the operations that need them.',
        'Legacy workflows cap how far the business can scale.',
        'Leadership lacks real-time visibility into how operations run.',
      ],
    },
    now: {
      tag: 'The operating model we build',
      h: 'Intelligent, automated and scalable — in production.',
      items: [
        { s: 'Hyper-automation across the workflow.', t: 'Manual handoffs become governed, automated steps.' },
        { s: 'AI agents inside guardrails.',          t: 'Reasoning, acting and escalating where policy allows.' },
        { s: 'Software built for the operation.',      t: 'Internal tools, portals and APIs tailored to the work.' },
        { s: 'Cloud & edge that scale.',              t: 'Elastic foundations with unit economics that hold.' },
        { s: 'Operations modernized end-to-end.',     t: 'Monitoring, governance and visibility built in.' },
      ],
    },
  },

  // ─── Featured practice (top of practices section) ───────────────
  featured: {
    num: '01 / 04',
    eyebrow: 'Lead capability · Hyper-Automation',
    title: 'Remove the manual work that slows your operation down.',
    titleH: ['Remove the manual work that slows your operation ', { italic: true, lime: true, text: 'down.' }],
    summary: 'The problem: critical workflows run on spreadsheets, email and copy-paste between tools. We build the automation layer — workflow automation, RPA, document and reporting automation, and the API integrations that connect your systems. The outcome: faster cycles, fewer errors, and capacity returned to your team. Not pilots. Production.',
    bullets: [
      'Workflow & process automation',
      'RPA & document automation',
      'API integration & data flow',
      'Process mining & re-engineering',
      'Reporting & CRM/ticketing automation',
      'Operator UX & adoption',
    ],
    kpi: [
      { k: 'Median cycle-time cut',     v: '−60%' },
      { k: 'Straight-through processing', v: '+30pts' },
      { k: 'First production wave', v: '8–12 weeks' },
    ],
  },

  // ─── Five practices ─────────────────────────────────────────────
  services: [
    {
      num: '01', id: 'automation',
      title: 'Hyper-Automation & Process Intelligence',
      meta: 'Workflows · RPA · Integrations · Process redesign',
      summary: 'Repetitive work and disconnected tools slow execution. We redesign the process, then build workflow automation, RPA, document generation, reporting and CRM/ticketing automation, with the API integrations that make twenty systems feel like one. The result: lower manual effort and faster cycles.',
      bullets: [
        'Workflow automation & process redesign',
        'RPA & robotic process automation',
        'API & systems integration',
        'Document & reporting automation',
        'CRM / ticketing automation',
        'Process mining & intelligence',
      ],
      kpi: [
        { k: 'Median cycle-time cut',       v: '−60%' },
        { k: 'STP improvement (avg.)',      v: '+30pts' },
      ],
    },
    {
      num: '02', id: 'agentic',
      title: 'Agentic AI & Intelligent Workflows',
      meta: 'AI agents · AI-assisted ops · Human-in-the-loop',
      summary: 'AI pilots rarely reach the work that matters. We build AI agents and AI-assisted workflows — research, customer support, sales, proposal generation, knowledge retrieval and decision support — wired into your processes with evaluations, guardrails and monitoring. The result: practical AI that creates measurable impact.',
      bullets: [
        'AI agents for internal operations',
        'AI-assisted support & sales workflows',
        'Proposal & document generation',
        'Knowledge retrieval & decision support',
        'Human-in-the-loop automation',
        'Evals, guardrails & monitoring',
      ],
      kpi: [
        { k: 'Median process time saved',   v: '−55%' },
        { k: 'Live agent deployments',      v: '20+' },
      ],
    },
    {
      num: '03', id: 'cloud-edge',
      title: 'Cloud, Edge & Digital Infrastructure',
      meta: 'Cloud architecture · Edge · Observability',
      summary: 'Automation and AI need infrastructure that scales. We design cloud and edge platforms, containerized applications, distributed systems and the monitoring and observability around them — engineered for elasticity, governance and unit economics. The result: a foundation that holds as you grow.',
      bullets: [
        'Cloud architecture & migration',
        'Edge deployments & remote infrastructure',
        'Containerized applications',
        'Distributed systems',
        'Monitoring & observability',
        'Scalable, secure deployment foundations',
      ],
      kpi: [
        { k: 'Median cloud-spend reduction', v: '−35%' },
        { k: 'Reference migration cadence',  v: '8 weeks' },
      ],
    },
    {
      num: '04', id: 'software',
      title: 'Custom Software & Operations Transformation',
      meta: 'Internal tools · Portals · Dashboards · ITSM · NOC/SOC',
      summary: 'Off-the-shelf software rarely fits how you actually work, and modern operations need a service model, not just tools. We build internal tools, client portals, operational dashboards, workflow platforms and CRM/ITSM systems — and modernize NOC/SOC, ITSM, incident management and governance around them. The result: tailored systems and a scalable operating model with real visibility and control.',
      bullets: [
        'Internal tools & client portals',
        'Operational & monitoring dashboards',
        'Workflow platforms & business apps',
        'CRM / ITSM systems & integrations',
        'NOC / SOC & incident management',
        'Governance & operating-model design',
      ],
      kpi: [
        { k: 'Typical MVP to production',   v: '8–14 weeks' },
        { k: 'On-time, on-budget delivery', v: '92%' },
      ],
    },
  ],

  // ─── Delivery framework — six stages ────────────────────────────
  framework: [
    {
      step: '01', code: 'DIAGNOSE', title: 'Diagnose',
      lede: 'Find the operational bottlenecks worth solving.',
      body: 'A small senior team maps how work actually flows — systems, data, handoffs and decision rights — and isolates the few constraints that govern cost, speed and scale.',
      out: ['Operating-model map', 'Bottleneck analysis', 'Systems & data inventory', 'Opportunity register'],
    },
    {
      step: '02', code: 'PRIORITIZE', title: 'Prioritize',
      lede: 'Rank the workflows by business value.',
      body: 'We rank the candidate workflows by impact, effort and risk — so the first project targets a high-value bottleneck you can ship in a focused cycle, not a multi-year programme.',
      out: ['Value/effort ranking', 'First-project scope', 'Business case', 'Success metrics'],
    },
    {
      step: '03', code: 'DESIGN', title: 'Design',
      lede: 'Design the target workflow and architecture.',
      body: 'We design the intelligent workflow, the automation and AI it needs, and the cloud-edge and software architecture behind it — practical, and sequenced so early phases create options for later ones.',
      out: ['Target workflow design', 'Automation & AI blueprint', 'Technology architecture', 'Delivery plan'],
    },
    {
      step: '04', code: 'BUILD', title: 'Build',
      lede: 'Build automation, AI agents and software.',
      body: 'Pods of senior engineers build the automation, AI agents, integrations and custom software alongside your teams — shipped to production in focused cycles with defined exit criteria, not slideware.',
      out: ['Automation & integrations', 'AI agents & guardrails', 'Custom software', 'Production rollouts'],
    },
    {
      step: '05', code: 'AUTOMATE', title: 'Automate',
      lede: 'Remove the manual work, end to end.',
      body: 'We turn manual handoffs into governed, automated workflows — with exception handling and human-in-the-loop where judgment matters — and instrument them so the impact is measurable.',
      out: ['Governed workflows', 'Exception handling', 'Operator UX', 'Outcome instrumentation'],
    },
    {
      step: '06', code: 'SCALE', title: 'Scale',
      lede: 'Scale what works into reusable capabilities.',
      body: 'We codify what works into platforms, playbooks and reusable components, and improve continuously — so the next workflow, region or process inherits the operating advantage rather than rebuilding it.',
      out: ['Reusable platforms', 'Playbooks & components', 'Continuous improvement', 'Next-workflow rollout'],
    },
  ],

  // ─── Industries served ──────────────────────────────────────────
  industries: [
    { num: '01', name: 'Financial Services',     desc: 'Banks, insurers, capital markets, payments.' },
    { num: '02', name: 'Telecom',                desc: 'Carriers, MVNOs and infrastructure operators.' },
    { num: '03', name: 'Retail & Consumer',      desc: 'Omnichannel, fulfilment and customer operations.' },
    { num: '04', name: 'Manufacturing & Logistics', desc: 'Operations modernisation across the supply chain.' },
    { num: '05', name: 'Platform Businesses',    desc: 'SaaS, enterprise software and digital-native scale-ups.' },
  ],

  // ─── Outcomes — instrumented, but credibility-flagged ───────────
  impact: {
    headline: 'Outcomes, instrumented.',
    lede: 'Every engagement is instrumented against the same outcome model — cost, velocity, reliability and adoption. Numbers below are anonymised medians across active 2024–2025 programmes.',
    big: [
      { v: '−35', sup: '%', label: 'Operating cost',        desc: 'Median run-rate cost reduction 12 months post-go-live.', detail: 'across programmes' },
      { v: '3.4', sup: '×', label: 'Decision velocity',     desc: 'Operating-review cycles after instrumentation.',          detail: 'cycle time' },
      { v: '92',  sup: '%', label: 'OTOB delivery',         desc: 'On-time, on-budget programme delivery rate.',             detail: '2024–2025' },
      { v: '78',  sup: '%', label: 'Adoption at +90 days',  desc: 'Measured platform adoption post-rollout.',                detail: 'median' },
    ],
    detailed: [
      { v: '−60', unit: '%',   k: 'Process cycle time',        d: 'Median across automated workflows.' },
      { v: '+30', unit: 'pts', k: 'Straight-through processing', d: 'STP rate improvement on automated paths.' },
      { v: '−55', unit: '%',   k: 'AI-augmented process time', d: 'Where AI agents handle reasoning + drafting.' },
      { v: '−35', unit: '%',   k: 'Cloud spend',                d: 'FinOps, right-sizing and architectural change.' },
      { v: '8–14', unit: 'wk', k: 'MVP to production',          d: 'Typical timeline for custom software builds.' },
      { v: '8–12', unit: 'wk', k: 'Automation programme',       d: 'First production wave for hyper-automation.' },
      { v: '+4',  unit: 'pts', k: 'Margin uplift',              d: 'On agentic-pricing & decision-support engagements.' },
      { v: '20',  unit: '+',   k: 'Live agent deployments',     d: 'Across active 2025 agentic AI mandates.' },
    ],
  },

  // ─── Cases ──────────────────────────────────────────────────────
  cases: {
    feature: {
      id: 'finance-close',
      tag: 'Agentic AI · Hyper-Automation',
      client: 'Top-10 European bank · 11 countries',
      title: 'A treasury close that runs itself between 02:00 and 06:00.',
      titleH: ['A treasury close that runs itself between', { italic: true, lime: true, text: '02:00 and 06:00.' }],
      summary: 'Agentic close-the-books across 11 country ledgers — reconciliation, exception triage, regulator-ready exports. Three-day cycle compressed to one overnight window. Manual touches down 92%.',
      metrics: [
        { k: 'Close cycle',     v: '3d → 5h' },
        { k: 'Manual touches',  v: '−92%' },
        { k: 'Programme length', v: '14 months' },
      ],
    },
    secondary: [
      {
        id: 'proposal',
        tag: 'Agentic AI · Custom Software',
        client: 'Industrial OEM · DACH',
        title: 'Proposals that used to take six weeks now take six hours.',
        summary: 'Agentic proposal-generation built on top of CRM, pricing and engineering data. Six-week cycle to under a day; margin discipline up.',
        metrics: [
          { k: 'Cycle time',     v: '6w → 6h' },
          { k: 'Margin uplift',  v: '+4pts' },
        ],
      },
      {
        id: 'edge',
        tag: 'Cloud & Edge · Hyper-Automation',
        client: 'Global retailer · 12 countries',
        title: 'Edge platform that lets 4,200 stores run themselves overnight.',
        summary: 'Edge compute replacing on-prem servers in 4,200 stores. Real-time inventory, AI-assisted ops, lights-out overnight close.',
        metrics: [
          { k: 'Edge nodes',       v: '4,200' },
          { k: 'On-prem footprint', v: '−86%' },
        ],
      },
    ],
  },

  // ─── Case Detail ────────────────────────────────────────────────
  caseDetail: {
    id: 'finance-close',
    tag: 'Agentic AI · Hyper-Automation · Custom Software',
    client: 'Top-10 European Bank',
    region: 'EMEA · 11 countries',
    duration: '14 months',
    team: '9 engineers · 2 architects · 1 partner',
    title: 'A treasury close that runs itself between 02:00 and 06:00.',
    titleA: 'A treasury close that',
    titleEm: 'runs itself',
    titleB: 'between 02:00 and 06:00.',
    subtitle: 'How a top-10 European bank compressed an 11-country month-end close from three days to one overnight window — and gave the treasury team five days back per cycle.',
    sections: [
      {
        h: 'The situation',
        body: [
          'A top-10 European bank closed the books across <strong>11 country ledgers</strong> on a 3-day cycle that consumed treasury, finance ops and IT every month. The work was a series of manual handoffs across ten systems, with a long tail of exceptions handled in spreadsheets.',
          'Adding regulators, acquisitions and a thinning back-office made the run untenable. The CFO needed a close that scaled with the business — and a finance team that did not lose a working week to it every month.',
        ],
      },
      {
        h: 'The diagnosis',
        body: [
          'Six weeks of frontline diagnostics found that <strong>74% of close work was repeatable reconciliation</strong>, and another 18% was exception handling that followed predictable patterns. The root constraint was not the GLs — it was the absence of an orchestration layer that could drive them all to one regulator-ready state.',
          'We sized the prize, scoped the platform and contracted against measurable outcomes: cycle time, manual touches, and adoption at +90 days.',
        ],
      },
      {
        h: 'What we built',
        body: [
          'A close-orchestration platform built on top of the existing GLs, integrating with ERP, treasury and reporting. An <strong>agent fleet for reconciliation and exception triage</strong> with policy-bound auto-actions. A custom finance-ops portal for the treasury team to monitor the close, approve exceptions and export regulator-ready packages.',
          'Around it: an evaluation harness for every agent path, integration tests across the ledger network, and an adoption programme that took the treasury team from sceptics to operators in a single cycle.',
        ],
      },
    ],
    results: [
      { v: '3d → 5h', k: 'Close cycle',        d: 'Eleven country ledgers, end to end.' },
      { v: '−92%',    k: 'Manual touches',     d: 'Per close cycle, after second wave.' },
      { v: '78%',     k: 'Adoption at +90d',   d: 'Of the treasury team using the platform daily.' },
      { v: '5 days',  k: 'Recovered per cycle', d: 'Returned to higher-value treasury work.' },
    ],
    quote: {
      text: 'Norton-Gauss did not bring us a product. They brought us a way of running the close that we could own — and a small team that built it with us.',
      who: 'Group CFO · European Bank',
    },
    timeline: [
      { phase: 'Phase 01', h: 'Discover', d: 'Close-process map across 11 ledgers and 10 systems.',              dur: '6 weeks' },
      { phase: 'Phase 02', h: 'Diagnose', d: 'Constraint analysis, exception-pattern catalogue, business case.',  dur: '4 weeks' },
      { phase: 'Phase 03', h: 'Design',   d: 'Orchestration architecture, agent design, ops-portal product spec.', dur: '8 weeks' },
      { phase: 'Phase 04', h: 'Build',    d: 'Platform build-out, agent factory, portal, ledger integrations.',    dur: '7 months' },
      { phase: 'Phase 05', h: 'Operate',  d: 'First close wave, adoption programme, exception triage live.',       dur: '3 months' },
    ],
  },

  // ─── Additional cases (filtered to the five practices) ──────────
  additionalCases: [
    {
      id: 'aiops-bank',
      tag: 'Custom Software · Cloud & Edge',
      client: 'European insurer · pan-EU',
      title: 'A claims platform that handles 4× the volume on the same team.',
      summary: 'Custom claims platform with embedded AI assistants for adjusters. Same headcount, four times the throughput, faster customer outcomes.',
      metrics: [
        { k: 'Claims volume', v: '4×' },
        { k: 'Cycle time',    v: '−58%' },
      ],
    },
    {
      id: 'edge-mfg',
      tag: 'Cloud & Edge · Hyper-Automation',
      client: 'European industrial OEM',
      title: 'A predictive maintenance loop across 1,800 production machines.',
      summary: 'Edge inference and a closed-loop scheduling system that auto-schedules service windows. Less downtime, fewer service calls.',
      metrics: [
        { k: 'Unplanned downtime', v: '−47%' },
        { k: 'Service-call cost',  v: '−31%' },
      ],
    },
    {
      id: 'portal-saas',
      tag: 'Custom Software · Operations Transformation',
      client: 'Enterprise SaaS · series-D',
      title: 'A customer portal that replaced eight internal tools.',
      summary: 'A unified customer-success portal — billing, support, telemetry, contract management — replacing eight Frankensteined internal tools.',
      metrics: [
        { k: 'Tools retired',     v: '8 → 1' },
        { k: 'NPS uplift',        v: '+22pts' },
      ],
    },
  ],

  // ─── Manifesto / About ──────────────────────────────────────────
  manifesto: {
    eyebrow: '11 · About · The meaning of the name',
    h2: ['A consultancy that brings the ', { italic: true, lime: true, text: 'outside' }, ' inside.'],
    body: [
      "<em>Norton's theorem</em> simplifies complex systems into their essential form. <em>Gauss's theorem</em> connects what surrounds a system to what happens inside it.",
      "Together, they describe our operating philosophy: <strong>we bring external knowledge, methodology and engineering precision into your internal environment</strong> — to reduce complexity into the few variables that actually drive outcomes.",
      "We work as a small senior firm — engineers, architects and operating leaders who have built and run the systems they are asked to redesign. Pyramid leverage produces decks; operator leverage produces production change.",
      "<em>Founded 2019.</em> Offices in EMEA and the Americas. Active across financial services, telecom, retail, manufacturing and platform businesses.",
    ],
    stats: [
      { v: '2019', k: 'Founded' },
      { v: '3',    k: 'Delivery HQs' },
      { v: '120+', k: 'Engineers & consultants' },
    ],
  },

  // ─── Ops feed seed events (hero) ────────────────────────────────
  // Reframed to read like client-engagement signal, not a SaaS console.
  opsfeedSeed: [
    { ts: '14:02:11', a: 'PROGRAMME-04', e: 'Production cutover · agent fleet (finance close)',  lat: 'live' },
    { ts: '14:02:09', a: 'PROGRAMME-12', e: 'Workflow automation · STP test passed',             lat: 'live' },
    { ts: '14:02:04', a: 'PROGRAMME-07', e: 'API integration · CRM ↔ pricing engine',            lat: 'live' },
    { ts: '14:01:58', a: 'PROGRAMME-02', e: 'Customer portal · v1.4 to production',              lat: 'live' },
    { ts: '14:01:51', a: 'PROGRAMME-09', e: 'Cloud migration · region 3 of 4 cut over',          lat: 'live' },
    { ts: '14:01:44', a: 'PROGRAMME-11', e: 'Edge node fleet · 1,820 of 4,200 deployed',         lat: 'live' },
    { ts: '14:01:35', a: 'PROGRAMME-03', e: 'Operating-model rollout · region EMEA-South',       lat: 'live' },
    { ts: '14:01:28', a: 'PROGRAMME-06', e: 'AI assistant · adoption +18pts at +30d',            lat: 'live' },
  ],

  marquee: [
    'Hyper-Automation', 'Agentic AI', 'Cloud & Edge',
    'Custom Software', 'Operations Transformation',
    'Workflow automation', 'AI agents', 'Cloud migration',
    'Customer portals', 'AI-enabled applications',
  ],

  // ─── Positioning strip — short credibility/value statements ─────
  positioning: [
    { k: 'Hyper-Automation first', v: 'We start by removing the manual work that slows your operation down.' },
    { k: 'Agentic AI for real workflows', v: 'AI agents designed around your processes and your people — not demos.' },
    { k: 'Strategy + engineering', v: 'Consulting diagnosis and hands-on build in the same small senior team.' },
    { k: 'Cloud, edge & software', v: 'The infrastructure and custom software that automation needs to scale.' },
    { k: 'Built for outcomes', v: 'Every engagement is measured against productivity, cost and visibility.' },
  ],

  // ─── Why Norton-Gauss — differentiators ─────────────────────────
  whyNG: {
    eyebrow: '10 · Why Norton-Gauss',
    h2A: 'A boutique partner that ',
    h2Em: 'builds,',
    h2B: ' not just advises.',
    sub: 'A modern alternative to large consulting firms and generic IT providers — focused on Hyper-Automation and Agentic AI, with the engineering team to actually ship.',
    items: [
      { k: 'Automation & AI focus',        v: 'Hyper-Automation and Agentic AI are the core of what we do, not a side practice.' },
      { k: 'Consulting + execution',       v: 'A consulting mindset paired with engineers who design, build and run the systems.' },
      { k: 'Practical, not abstract',      v: 'We ship working systems in focused cycles — not strategy decks that sit on a shelf.' },
      { k: 'Outcome-oriented',             v: 'Engagements are scoped around productivity, cost, response time and visibility.' },
      { k: 'Works at your stage',          v: 'Early-stage, small, mid-sized or growth — we size the engagement to fit.' },
      { k: 'One partner, full stack',      v: 'Automation, AI, cloud, edge, software and operations expertise in a single team.' },
      { k: 'Lean global delivery',         v: 'A remote-first, senior team across three HQs — cost-efficient versus large firms.' },
      { k: 'Flexible, project-based',      v: 'Start with one workflow; expand toward a more intelligent operating model.' },
    ],
  },

  // ─── The Cost of Manual Operations — before/after ───────────────
  costOfManual: {
    eyebrow: '01 · The problem',
    h2A: 'The hidden cost of ',
    h2Em: 'manual operations.',
    sub: 'Most teams don\u2019t see how much manual work, disconnected tools and hand-built reports cost them every week. Here is what that friction looks like \u2014 and what changes once the operation is automated and connected.',
    toggle: { a: 'Operating manually', b: 'With Norton-Gauss' },
    metrics: [
      { k: 'Manual handoffs / week',        icon: 'handoff',     before: 41, after: 6,   suffix: '',  outcome: 'Automated end-to-end' },
      { k: 'Disconnected systems',          icon: 'systems',     before: 18, after: 1,   suffix: '',  outcome: 'Unified into one flow' },
      { k: 'Hours to produce a proposal',   icon: 'proposal',    before: 4,  after: 0.5, suffix: 'h', dec: 1, outcome: 'AI-assisted in minutes' },
      { k: 'Reporting spreadsheets',        icon: 'spreadsheet', before: 5,  after: 1,   suffix: '',  outcome: 'One live dashboard' },
      { k: 'Repetitive support tasks / day',icon: 'support',     before: 12, after: 3,   suffix: '',  outcome: 'Copilot handles the rest' },
    ],
    outcomes: [
      'Faster execution cycles',
      'Reduced manual effort',
      'Better operational visibility',
      'Improved consistency',
      'More time for strategic work',
    ],
  },

  // ─── Capability panels — four large interactive panels ──────────
  capabilities: [
    {
      id: 'automation', num: '01', title: 'Hyper-Automation',
      message: 'Remove the manual work slowing your operation down.',
      focus: ['Workflow automation', 'Process redesign', 'Document automation', 'CRM & ticketing automation', 'API integrations'],
      outcomes: ['Faster execution', 'Reduced errors', 'Greater productivity', 'Improved consistency'],
    },
    {
      id: 'agentic', num: '02', title: 'Agentic AI',
      message: 'Embed intelligence into operational workflows.',
      focus: ['Research agents', 'Proposal assistants', 'Support copilots', 'Knowledge retrieval', 'Decision support'],
      outcomes: ['Faster responses', 'Better decisions', 'Scalable expertise', 'Human augmentation'],
    },
    {
      id: 'cloud-edge', num: '03', title: 'Cloud & Edge',
      message: 'Build resilient digital foundations.',
      focus: ['Distributed infrastructure', 'Edge deployments', 'Cloud modernization', 'Monitoring & observability', 'Containerized environments'],
      outcomes: ['Scalability', 'Reliability', 'Operational visibility', 'Modern infrastructure'],
    },
    {
      id: 'software', num: '04', title: 'Custom Software & Operations Transformation',
      message: 'Design the systems your operation actually needs.',
      focus: ['Operational dashboards', 'Internal platforms', 'Client portals', 'ITSM integrations', 'NOC/SOC modernization'],
      outcomes: ['Better visibility', 'Controlled workflows', 'Tailored solutions', 'Stronger operating models'],
    },
  ],

  // ─── What We Build — recognizable initiatives ───────────────────
  whatWeBuild: {
    eyebrow: '08 · What we build',
    h2A: 'Recognizable initiatives, ',
    h2Em: 'not abstractions.',
    sub: 'The kinds of systems we design, build and run with our clients \u2014 each one tied to a real operational outcome.',
    items: [
      { t: 'Proposal automation platforms',     cap: 'Hyper-Automation', d: 'Generate, assemble and route proposals in minutes instead of hours.' },
      { t: 'AI-powered sales assistants',       cap: 'Agentic AI',       d: 'Qualify, draft and follow up \u2014 with a human in the loop on every send.' },
      { t: 'ITSM workflow modernization',       cap: 'Ops Transformation', d: 'Streamlined service desk, incident and change management that holds up.' },
      { t: 'Executive reporting dashboards',    cap: 'Custom Software',  d: 'One live view of the metrics that run the business, no manual spreadsheets.' },
      { t: 'Remote monitoring platforms',       cap: 'Cloud & Edge',     d: 'Real-time visibility across distributed sites, fleets and environments.' },
      { t: 'Customer support AI copilots',      cap: 'Agentic AI',       d: 'Suggested answers and retrieval that make support teams measurably faster.' },
      { t: 'CRM automation initiatives',        cap: 'Hyper-Automation', d: 'Data flowing cleanly between the systems your revenue team depends on.' },
      { t: 'Incident response automation',      cap: 'Ops Transformation', d: 'Detect, triage and remediate routine incidents before they escalate.' },
      { t: 'Cloud & edge observability',        cap: 'Cloud & Edge',     d: 'Monitoring, tracing and alerting wired into modern, resilient infrastructure.' },
      { t: 'Internal operational portals',      cap: 'Custom Software',  d: 'Tailored tools that replace the spreadsheets and tabs teams live in today.' },
    ],
  },

  // ─── Compounding ────────────────────────────────────────────────
  compounding: {
    eyebrow: '04 · Compounding',
    h2A: 'The longer you ',
    h2Em: 'run it,',
    h2B: ' the better it gets.',
    sub: 'Every engagement produces durable assets: an integration layer, a workflow library, an AI evaluation harness, a custom-software platform. Each one feeds the next — so the platform you stand up in month one is a fraction of what it becomes by month twelve.',
    milestones: [
      {
        x: 'Month 1', label: 'Foundations',
        kpi: '1.0×', kpiLabel: 'Baseline value',
        bullets: [
          'Integration layer live',
          'First automations in production',
          'Operating model embedded',
        ],
      },
      {
        x: 'Month 6', label: 'Acceleration',
        kpi: '3.4×', kpiLabel: 'Compounding multiplier',
        bullets: [
          'Workflow library doubles per quarter',
          'AI evaluation harness catches drift before incidents',
          'Custom-software platform covers 80% of operator paths',
        ],
      },
      {
        x: 'Month 12+', label: 'Compounding scale',
        kpi: '12×', kpiLabel: 'Value vs. month one',
        bullets: [
          'New regions inherit the platform on day one',
          'AI agents tuned on your data outperform off-the-shelf',
          'Marginal cost of the next workflow approaches zero',
        ],
      },
    ],
    feedbackLoops: [
      { from: 'Workflows',   to: 'AI agents',   text: 'Patterns from automated workflows train the next AI assistants.' },
      { from: 'AI agents',   to: 'Software',    text: 'Successful agent actions become product surface area in the platform.' },
      { from: 'Software',    to: 'Operating model', text: 'Internal tools embed the operating model in the daily work.' },
      { from: 'Operating model', to: 'Workflows', text: 'A clearer operating model exposes the next automation worth building.' },
    ],
  },

  // ─── Practices Detail — five-deep ───────────────────────────────
  practicesDetail: {
    eyebrow: '06 · Practices in depth',
    h2A: 'How we ',
    h2Em: 'actually',
    h2B: ' deliver each practice.',
    sub: 'Every practice ships as a pod of senior operators, a delivery model, an evaluation discipline and a contracted outcome. Pick a practice for the full spec.',
    items: [
      {
        id: 'automation', code: 'HA', num: '01',
        title: 'Hyper-Automation',
        category: 'Workflows · RPA · Integrations',
        pitch: 'Eliminate repetitive work, connect the systems your operation already runs on, and turn manual handoffs into governed workflows.',
        pod: '1 automation lead · 2 senior engineers · 1 data engineer · 1 operator-experience lead',
        stack: ['Process mining', 'RPA / IDP', 'Integration platform', 'Workflow automation', 'Operator portal'],
        outcomes: ['Cycle time −60%', 'STP +30pts', 'Exception cost −40%'],
        proof: 'Active across 2024–2025 mandates · finance, retail, telecom',
      },
      {
        id: 'agentic', code: 'AG', num: '02',
        title: 'Agentic AI',
        category: 'AI agents · Multi-agent workflows',
        pitch: 'AI agents and AI-assisted workflows that reason, act, escalate and support teams — with the evaluations and guardrails to keep them safe in production.',
        pod: '1 lead architect · 3 senior engineers · 1 evaluation specialist · 1 product designer',
        stack: ['LLM orchestration', 'Tool use / RAG', 'Evaluation harness', 'Tracing & guardrails', 'Operator UX'],
        outcomes: ['Process time −55%', 'Live deployments 20+', 'HITL coverage 100%'],
        proof: 'Live in 2025 portfolio · finance, industrial, B2B services',
      },
      {
        id: 'cloud-edge', code: 'CE', num: '03',
        title: 'Cloud & Edge',
        category: 'Architecture · Migration · Edge',
        pitch: 'Cloud and edge platforms, containerized apps and distributed systems engineered for elasticity, governance and unit economics that hold at scale.',
        pod: '1 platform architect · 3 platform engineers · 1 FinOps lead · 1 SRE',
        stack: ['Multi-cloud landing zones', 'Cloud-native engineering', 'Edge compute', 'FinOps tooling', 'Monitoring & DR'],
        outcomes: ['Cloud spend −35%', 'Migration cadence 8 wk', 'Edge fleets to 4,200 nodes'],
        proof: 'Active across AWS · Azure · GCP',
      },
      {
        id: 'software', code: 'CS', num: '04',
        title: 'Custom Software & Operations Transformation',
        category: 'Platforms · Dashboards · ITSM · NOC/SOC',
        pitch: 'Tailored internal tools, client portals, operational dashboards and CRM/ITSM systems — plus modernized NOC/SOC, incident management and governance — built by senior pods that ship and run what they build.',
        pod: '1 product lead · 1 ops lead · 3 senior engineers · 1 quality lead',
        stack: ['Modern web stack', 'Headless APIs', 'ITSM & service desk', 'Incident & monitoring', 'Operational dashboards'],
        outcomes: ['MVP → prod 8–14 wk', 'OTOB delivery 92%', 'Tool consolidation typical'],
        proof: 'Portals, platforms & ops modernization in 2025',
      },
    ],
  },

  // ─── Hyper-personalised Roadmaps ────────────────────────────────
  roadmaps: {
    eyebrow: '07 · Roadmaps',
    h2A: 'Hyper-personalised roadmaps — ',
    h2Em: 'shaped to you,',
    h2B: ' not to a template.',
    sub: 'No two operators have the same constraint. Our engagements start with a custom roadmap — sequenced around your business priorities, your data estate and your operating maturity. Outputs are concrete, dated and unit-economic.',
    inputs: [
      { icon: 'compass',  k: 'Business priorities',  v: 'Board-level objectives, P&L targets, market commitments.' },
      { icon: 'stack',    k: 'Tech & data estate',   v: 'Current platforms, data quality, vendor commitments, debt.' },
      { icon: 'people',   k: 'Operating maturity',   v: 'Where your operations sit on the automation-readiness curve.' },
      { icon: 'risk',     k: 'Risk & regulatory',    v: 'Sector regulation, AI risk, data residency, audit cycles.' },
    ],
    outputs: [
      { tag: '0 – 30 days',  h: 'Diagnostic & quick wins',
        items: ['Operating-model map', 'Constraint analysis', '2–3 quick-win automations live'] },
      { tag: '30 – 90 days', h: 'Foundations',
        items: ['Integration layer online', 'First AI agents in production', 'Custom-software MVP in user hands'] },
      { tag: '3 – 6 months', h: 'Acceleration',
        items: ['Workflow library 80% coverage', 'Operating reviews instrumented', 'Cloud migration cutover'] },
      { tag: '6 – 12 months', h: 'Compounding scale',
        items: ['Platform productised', 'Next region inherits Day-1', 'Outcome contract → portfolio'] },
    ],
  },

  // ─── Innovation / Alpha-tester partner ──────────────────────────
  innovation: {
    eyebrow: '10 · Innovation partner',
    headlineA: 'Need an alpha tester or ',
    headlineEm: 'innovation partner?',
    headlineB: ' Talk to us.',
    sub: 'We co-build with research teams, founders and product leaders working on the frontier — agentic systems, automation platforms, edge orchestration. We bring an enterprise design-partner footprint, real production deployments and a senior engineering team that ships.',
    tags: ['Agentic systems', 'Automation platforms', 'Edge orchestration', 'Eval & guardrails', 'Operator UX'],
    offerings: [
      { tag: 'Design partner', h: 'Enterprise design-partner programme',
        d: 'We run validated pilots inside our portfolio mandates with weekly product feedback and joint roadmap sessions.' },
      { tag: 'Alpha access',   h: 'Co-build alpha programmes',
        d: 'Early-stage products get real workloads, real users and engineering integration help — not just letters of intent.' },
      { tag: 'Research lab',   h: 'Norton-Gauss Labs',
        d: 'Joint research on agent evaluation, automation primitives and operating-model design. White-paper and open-source output.' },
    ],
  },

  // ─── Operations map locations ──────────────────────────────────
  map: {
    eyebrow: '08 · Global footprint',
    h2: 'Where we operate.',
    sub: 'Three regional headquarters covering North America, LATAM and EMEA — delivery teams that ship in your timezone.',
    locations: [
      { id: 'par', name: 'Paris',       role: 'EMEA HQ',          lon:    2.35, lat:  48.85, hq: true },
      { id: 'shr', name: 'Sheridan',    role: 'North America HQ', lon: -106.96, lat:  44.80, hq: true, sub: 'Wyoming' },
      { id: 'sao', name: 'São Paulo',   role: 'LATAM HQ',         lon:  -46.63, lat: -23.55, hq: true },
    ],
    industries: [
      { num: '01', name: 'Financial Services',     desc: 'Banks, insurers, capital markets, payments.' },
      { num: '02', name: 'Telecom',                desc: 'Carriers, MVNOs and infrastructure operators.' },
      { num: '03', name: 'Retail & Consumer',      desc: 'Omnichannel, fulfilment and customer operations.' },
      { num: '04', name: 'Manufacturing & Logistics', desc: 'Operations modernisation across the supply chain.' },
      { num: '05', name: 'Platform Businesses',    desc: 'SaaS, enterprise software and digital-native scale-ups.' },
    ],
  },

  // ─── Careers ────────────────────────────────────────────────────
  careers: {
    eyebrow: 'Careers · Build with us',
    h1A: 'Build the ',
    h1Em: 'systems behind',
    h1B: ' modern operations.',
    sub: "We hire senior operators — engineers, architects and consultants who have run the systems they are now re-architecting. Pyramid leverage produces decks; operator leverage produces production change. We choose operator leverage every time.",
    perks: [
      { k: 'Senior-only firm', v: 'No pyramid leverage — every engagement is staffed with people who have run production.' },
      { k: 'Outcome contracts', v: 'You ship into operations, not into slide decks. Outcomes are instrumented and contracted.' },
      { k: 'Compensation',     v: 'Above-market base + outcome-linked variable + meaningful equity in Norton-Gauss Labs.' },
      { k: 'Time & remote',    v: 'Async-first across three HQs (Paris · Sheridan · São Paulo). Four weeks of protected focus time per year.' },
    ],
    departments: ['All', 'Engineering', 'Architecture', 'Consulting', 'Research'],
    jobs: [
      {
        id: 'lead-agent-eng',
        title: 'Lead Agentic AI Engineer',
        dept: 'Engineering',
        location: 'Paris · Sheridan · Remote',
        type: 'Full-time',
        comp: '€180–240k + variable + equity',
        teaser: 'Lead the architecture of AI agents and multi-agent workflows that run in production at enterprise clients — from agent design through evaluation to operator UX.',
        about: "You will shape how Norton-Gauss builds agentic systems for enterprise operators. You'll own architecture for a portfolio of agent deployments, from model selection through tool use, evaluation and operator UX, and pair with our research team on the frontier.",
        you: [
          '8+ years building production software, including 2+ years on LLM-powered systems',
          'Deep experience with multi-agent orchestration (LangGraph, AutoGen, custom)',
          'Strong product instinct — you can design operator UX, not just APIs',
          'Track record of shipping into mission-critical enterprise operations',
          'Comfortable presenting architecture to C-level stakeholders',
        ],
        do: [
          'Architect agentic systems for 3–5 concurrent enterprise engagements',
          'Own the evaluation & guardrail discipline across the portfolio',
          'Mentor a small senior team (3–5 engineers)',
          'Pair with Norton-Gauss Labs on research that becomes the next product',
          'Represent the firm at industry events and design-partner sessions',
        ],
      },
      {
        id: 'sr-platform-arch',
        title: 'Senior Cloud & Edge Architect',
        dept: 'Architecture',
        location: 'Paris · Remote EMEA',
        type: 'Full-time',
        comp: '€160–220k + variable + equity',
        teaser: 'Design multi-cloud and edge platforms for enterprise clients across financial services, telecom and platform businesses.',
        about: "You'll design the cloud and edge substrate that runs our clients' automation and AI platforms. You'll own architecture decisions worth millions of euros in run-rate and you'll be on the hook for them.",
        you: [
          '10+ years platform / cloud architecture, with hands-on enterprise migrations',
          'Multi-cloud (AWS, Azure, GCP) and edge compute experience',
          'FinOps discipline — unit economics matter to you',
          'Comfortable in regulated environments (financial services, telecom)',
        ],
        do: [
          'Lead architecture for 3–4 cloud / edge programmes',
          'Own platform reference architectures across the firm',
          'Run cloud-cost reviews with client CFO offices',
          'Pair with engineering on automation and AI integration',
        ],
      },
      {
        id: 'lead-software',
        title: 'Lead Software Engineer · Custom Software',
        dept: 'Engineering',
        location: 'Paris · São Paulo · Remote',
        type: 'Full-time',
        comp: '€150–200k + variable + equity',
        teaser: 'Lead full-stack pods building tailored software — internal platforms, customer portals, AI-enabled applications — that ship to enterprise users.',
        about: "You'll lead small senior pods building software that takes the place of off-the-shelf systems where they don't fit. You'll be hands-on, you'll own architecture, and you'll ship.",
        you: [
          '10+ years shipping full-stack web applications',
          'Strong with modern TypeScript/React stacks and a backend language you actually like',
          'Have led product engineering teams of 3–6 engineers',
          'Comfortable being the single owner of a delivery line',
        ],
        do: [
          'Lead 2–3 concurrent custom-software builds',
          'Own architecture, code review and quality',
          'Mentor mid-level engineers across the firm',
          'Pair with design and product on operator UX',
        ],
      },
      {
        id: 'partner-strategy',
        title: 'Partner · Digital Transformation',
        dept: 'Consulting',
        location: 'Sheridan · Paris',
        type: 'Partner-track',
        comp: '€240k+ + carry',
        teaser: 'Own the digital-transformation practice. Run executive engagements with operators, investors and boards.',
        about: "You'll lead Norton-Gauss's transformation practice — the executive thinking that shapes every programme we run. You'll work with C-suites, boards and investors on operating-model decisions worth nine figures.",
        you: [
          '15+ years in strategy consulting or operating roles at scale',
          'Have led both diagnosis and execution of large transformation programmes',
          'Comfortable in the boardroom and in production',
          'Strong network in financial services, telecom or platform businesses',
        ],
        do: [
          'Own and grow the transformation practice',
          'Lead executive engagements end-to-end',
          'Develop our operating-model intellectual property',
          'Hire and coach senior consultants',
        ],
      },
      {
        id: 'research-eval',
        title: 'Research Engineer · Agent Evaluation',
        dept: 'Research',
        location: 'Paris · Remote',
        type: 'Full-time',
        comp: '€140–190k + variable + equity',
        teaser: 'Build the evaluation discipline that lets agentic systems run safely in production. Open-source contributor welcome.',
        about: "You'll lead the research that turns agent reliability into an engineering discipline. You'll work across academic literature, our own production deployments and design-partner programmes.",
        you: [
          'Strong ML engineering background, ideally with publications',
          'Have built or contributed to agent evaluation harnesses',
          'Comfortable shipping code into production',
          'Open-source contributor or willing to be',
        ],
        do: [
          'Design evaluation harnesses for production agentic systems',
          'Publish research on agent reliability',
          "Maintain Norton-Gauss Labs' open-source evaluation tooling",
        ],
      },
      {
        id: 'consultant-ai',
        title: 'Consultant · Agentic AI Strategy',
        dept: 'Consulting',
        location: 'Paris · Sheridan',
        type: 'Full-time',
        comp: '€110–160k + variable + equity',
        teaser: 'Translate agentic AI capabilities into concrete operating-model change for enterprise operators. Strategy plus engineering literacy.',
        about: "You'll bridge our executive engagements with our engineering teams — turning operating-model questions into agentic-system specs and back into board-level economics.",
        you: [
          '5–8 years strategy consulting or product strategy',
          'Strong engineering literacy — you can read a system diagram',
          'Have written business cases that survived a CFO',
          'Comfortable presenting at executive level',
        ],
        do: [
          'Lead strategy workstreams on 2–3 agentic engagements',
          'Write board-grade business cases',
          'Pair with engineering on operating-model design',
        ],
      },
      {
        id: 'sr-automation',
        title: 'Senior Engineer · Hyper-Automation',
        dept: 'Engineering',
        location: 'Remote LATAM · São Paulo',
        type: 'Full-time',
        comp: 'Competitive + variable + equity',
        teaser: 'Build the workflow and integration layer that turns manual operations into systems clients rely on.',
        about: "You'll be the engineer who turns spreadsheets and email threads into governed workflows. You'll own automation stacks across enterprise clients.",
        you: [
          '6+ years in workflow / integration engineering',
          'Strong with workflow orchestrators, integration platforms and APIs',
          'Have shipped automation that survived real operations',
          'Comfortable with production support',
        ],
        do: [
          'Own automation for 2–3 client portfolios',
          "Build the firm's reference automation patterns",
          'Mentor junior engineers in the LATAM team',
        ],
      },
    ],
  },

};