/* Data for the /work/[client] case-study pages + the homepage/work-index cards.
   SENSITIVITY: no client revenue, scale, headcount, at-risk counts, or pricing.
   Only BeaverMind's operational results (cost, throughput, quality, rate lift).
   No quotes invented. */
window.WORK = {
  "movesmethod": {
    /* card fields */
    name: "MovesMethod", initials: "MM",
    logo: "/assets/clients/movesmethod.png?v=2", logoH: 32,
    tag: "Coaching · delivery QC",
    headline: "Coaching quality control, running on every client interaction.",
    figures: [
      { to: 100, prefix: "~", label: "evaluations / day" },
      { to: 0.15, prefix: "$", decimals: 2, label: "per evaluation" },
      { to: 40, suffix: "+", label: "coaches under QC" },
    ],
    /* detail fields (current-website case-study format) */
    label: "Coaching · Delivery QC",
    descriptor: "Coaching business · continuous AI quality control across 40+ coaches",
    heroStat: "~100 / day",
    outcomes: [
      { metric: "~100 evaluations a day", context: "every coach interaction scored, continuously" },
      { metric: "$0.15 per evaluation", context: "quality control at near-zero marginal cost" },
      { metric: "40+ coaches under QC", context: "standards hold as the team grows" },
      { metric: "Live in production", context: "running on the real interaction stream, not a pilot" },
    ],
    challenge:
      "Quality is the product in coaching. Past 40 coaches, no one could review every client interaction by hand — so standards drifted exactly where no one was looking.",
    solution: [
      "Built an AI quality-control layer that scores every coach interaction against the method's own standards.",
      "Flags the interactions that need a human, continuously, on the live stream.",
      "Runs in production at roughly 100 evaluations a day, about $0.15 each.",
      "Holds quality steady as the coaching team scales.",
    ],
    tags: ["AI Delivery QC", "Coaching Systems", "Quality Control"],
  },

  "five50-advisory": {
    name: "Five50 Advisory", initials: "5",
    logo: "/assets/clients/five50.png", logoH: 24,
    tag: "Consulting · outbound voice",
    headline: "A 24/7 outbound voice agent, live in production.",
    figures: [
      { to: 0.04, prefix: "$1 → $", decimals: 2, tone: "good", label: "cost per call (−96%)" },
      { to: 200, label: "calls / day" },
      { to: 50, prefix: "30 → ", suffix: "%", tone: "good", label: "email open rate" },
    ],
    label: "Consulting · Outbound Voice",
    descriptor: "Consulting · 24/7 outbound AI voice agent in production",
    heroStat: "$1 → $0.04",
    outcomes: [
      { metric: "$1 → $0.04 cost per call", context: "a 96% drop versus human dialing" },
      { metric: "~200 calls a day", context: "round-the-clock outbound capacity" },
      { metric: "30% → 50% email open rate", context: "paired Klaviyo nurture sequence" },
      { metric: "Live in production", context: "qualifying and booking end to end" },
    ],
    challenge:
      "Outbound was capped by how many dials a human team could make in a day, and every dial carried a human cost that didn't scale.",
    solution: [
      "Deployed a 24/7 outbound AI voice agent that qualifies and books.",
      "Paired it with a Klaviyo nurture sequence for everyone who isn't ready yet.",
      "Drove cost per call from about $1 to $0.04 at roughly 200 calls a day.",
      "Lifted email open rate from about 30% to 50%.",
    ],
    tags: ["AI Voice Agents", "Outbound", "Email Nurture"],
  },

  "andrea-grandi": {
    name: "Dr Andrea Grandi", initials: "AG",
    logo: null, logoH: 32,
    tag: "Accelerator · AI sales manager",
    headline: "Every sales call scored automatically — closing rate up from 19% to 33%.",
    figures: [
      { to: 33, prefix: "19 → ", suffix: "%", tone: "good", label: "close rate" },
      { to: 100, suffix: "%", label: "calls reviewed" },
    ],
    label: "Accelerator · AI Sales Manager",
    descriptor: "8-week accelerator · AI sales-call scoring in production",
    heroStat: "19% → 33%",
    outcomes: [
      { metric: "19% → 33% close rate", context: "a 74% lift, team-wide" },
      { metric: "100% of calls reviewed", context: "up from a fraction, no added headcount" },
      { metric: "Every call scored", context: "against the script, automatically" },
    ],
    challenge:
      "Only a fraction of sales calls ever got reviewed, so coaching ran on memory and a handful of recordings. The close rate showed it.",
    solution: [
      "Built an AI sales manager that transcribes and scores every call against the script.",
      "Added the surrounding sales infrastructure to act on what it finds.",
      "Moved call review from a fraction to 100%, with no added headcount.",
      "Close rate climbed from 19% to 33%.",
    ],
    tags: ["AI Sales Manager", "Call Scoring", "Sales Infrastructure"],
  },
};

window.WORK_ORDER = ["movesmethod", "five50-advisory", "andrea-grandi"];