// Work page — 4 invented-but-believable case studies
// Mid-market clients across the industries the user specified
// Layout: short narrative (challenge / approach / what's next) + metrics strip
// Imagery: abstract editorial marks rendered in SVG, one per study
const Work = () => {
const studies = [
{
n: '01',
industry: 'B2B SaaS · 80 employees',
title: 'A 47-person CS team that finally sleeps on weekends.',
service: 'Custom Agents · Training',
timeline: '8 weeks · ongoing partnership',
challenge: "An infrastructure-monitoring SaaS was drowning in tier-1 support tickets — repetitive questions about thresholds, integrations, and billing. The CS team was burning out and senior engineers were getting pulled in nightly to firefight issues a thoughtful first-line response could have caught.",
approach: [
"We sat in on a week of support shifts before writing a line of anything.",
"Built a triage agent that handles tier-1 questions, escalates real issues to engineers with full context attached, and learns from every resolution.",
"Trained the CS team to refine the agent's playbooks themselves — no developer needed for tweaks.",
],
next: "We're now expanding the agent into proactive customer health monitoring — flagging churn risk before customers churn.",
quote: "They spent the first week just listening. By the time they proposed anything, they understood our product better than half our PMs.",
quoteWho: "VP Customer Success",
metrics: [
{ label: 'tickets auto-resolved', value: '64%', unit: '' },
{ label: 'response time', value: '12×', unit: 'faster' },
{ label: 'weekend escalations', value: '−83', unit: '%' },
{ label: 'CSAT', value: '+18', unit: 'pts' },
],
mark: 'pulse',
tint: '#c8542a',
},
{
n: '02',
industry: 'Professional services · Law firm · 32 attorneys',
title: '4,000 hours back. Same team. Same caseload.',
service: 'AI Opportunity Audit · Custom Agents',
timeline: '12 weeks · monthly retainer',
challenge: "A regional litigation firm was losing senior-attorney time to discovery review and case-history searches. Junior associates were spending 60% of their week on document combing — work clients hated paying for and the firm hated billing.",
approach: [
"Three-week audit shadowing senior partners, paralegals, and associates across two practice groups.",
"Built a private document-aware research assistant trained only on the firm's matter history — citations always link back to the source.",
"Workshopped the rollout with every group; partners now sign off on every output, with the heavy lifting done.",
],
next: "Phase two is intake automation — qualifying inbound matters and drafting initial conflict checks before a partner ever opens the file.",
quote: "Two other firms pitched us platforms. Leviyet pitched us a question first: do you actually need one? We didn't. We needed this.",
quoteWho: "Managing Partner",
metrics: [
{ label: 'hours saved', value: '4,000', unit: '/yr' },
{ label: 'discovery review', value: '6×', unit: 'faster' },
{ label: 'realization rate', value: '+11', unit: '%' },
{ label: 'attorneys onboarded', value: '32 of 32', unit: '' },
],
mark: 'arc',
tint: '#c8542a',
},
{
n: '03',
industry: 'Healthcare · Multi-site clinic · 140 staff',
title: 'No-shows down by half. Front desk gets to be human again.',
service: 'Custom Agents · AI Marketing',
timeline: '10 weeks · ongoing',
challenge: "A multi-location wellness clinic was losing serious revenue to no-shows and last-minute cancellations. Front desk staff spent half their day on the phone confirming appointments instead of welcoming people walking in.",
approach: [
"Mapped every patient touchpoint from booking to follow-up across all six locations.",
"Built a friendly outbound assistant that handles confirmations, rebooks, and post-visit check-ins by SMS — written in the clinic's actual voice.",
"Set up a content engine: weekly wellness emails written by AI, edited by humans, segmented by patient interest.",
],
next: "We're piloting an intake summarizer that turns long-form patient notes into a structured pre-visit briefing for the practitioner.",
quote: "It sounds like us, not a robot. Patients reply to the texts thinking they're talking to Sarah at the front desk.",
quoteWho: "Clinic Director",
metrics: [
{ label: 'no-show rate', value: '−52', unit: '%' },
{ label: 'rebooked appts', value: '$340k', unit: '/yr' },
{ label: 'newsletter open rate', value: '38', unit: '%' },
{ label: 'front-desk hours freed', value: '24', unit: 'hrs/wk' },
],
mark: 'cells',
tint: '#c8542a',
},
{
n: '04',
industry: 'Manufacturing · 110 employees',
title: "An engineering team's institutional memory, finally searchable.",
service: 'AI Opportunity Audit · Custom Agents · Training',
timeline: '14 weeks · quarterly partnership',
challenge: "A precision-parts manufacturer had 30 years of engineering specs, change orders, and supplier correspondence — most of it locked in PDFs, scanned drawings, and one retired engineer's brain. Every new RFQ meant reinventing answers the company already knew.",
approach: [
"Six weeks digitizing and indexing the archive. Drawings, specs, change orders, every email thread.",
"Built a private engineering-knowledge agent. Engineers query in plain language; the agent returns answers with the original document attached.",
"Trained the team — including the shop floor — on prompting, edge cases, and how to feed it new knowledge as the business grows.",
],
next: "Next quarter: connecting the agent to live ERP data so quote turnaround can include real-time material costs and lead times.",
quote: "We were quoting from memory and email threads. Now a new engineer is productive in their first week. That's the part I didn't believe until it happened.",
quoteWho: "Director of Engineering",
metrics: [
{ label: 'RFQ turnaround', value: '4 days', unit: '→ 6 hrs' },
{ label: 'documents indexed', value: '180k+', unit: '' },
{ label: 'engineering capacity', value: '+22', unit: '%' },
{ label: 'win rate on quotes', value: '+9', unit: 'pts' },
],
mark: 'grid',
tint: '#c8542a',
},
];
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}
`;
return (
<>
Selected work
A few partnerships we're proud of.
Names are anonymized. Numbers are real, rounded honest. Each one started with a conversation, a notebook, and a few weeks of listening before we wrote a line of anything.
For every project here, there's one we turned down — because AI wasn't the answer.
Sometimes the right move is a clearer process, a one-page dashboard, or hiring one more person. We'd rather lose the engagement than build the wrong thing. That's the part that doesn't make a case study.
Got a corner of your business in mind?
30 minutes, no deck. Tell us what's slow, what's expensive, what wakes you up at 3am — and we'll tell you honestly whether we can help.