Work

What ROI actually looks like.

Three engagements, three operators, three sets of numbers. Modelled on aggregated industry data and real-world workflows we've delivered.

A note on these cases

These are illustrative engagements representing typical scope and outcomes. We're early in the practice and our first attributed case studies with named clients are in flight. We'll publish them with full attribution as they complete. The numbers below are modelled on real workflows we've delivered or audited; the client identities are anonymised. We'd rather show you the math honestly than dress up a deck.

Case 01 · Marketing ops agency · 60 people

From 360 hours to 312 reviews per year.

74%reduction in manual brief handling
$34Kannual cost recovery
4.9 mopayback period from launch
The before

1,200 inbound campaign briefs per year. 3 reviewers spending 18 minutes per brief on classification, routing, and compliance checks. 360 hours of senior staff time annually. $47,000 in loaded cost. Briefs still occasionally routed to the wrong team. Compliance issues caught in week 2 instead of intake.

The work

Workflow Audit identified brief intake as the highest-payback automation candidate. Build Sprint deployed an AI agent trained on the agency's brand-safety framework, routing logic, and historical brief data. Edge cases route to humans. The other 74% close inside 90 seconds.

The after

312 manual reviews per year (down from 1,200). $34,000 annual cost recovery, with payback inside 5 months of launch. Compliance issues now caught at intake, not week 2.

The payoff

Routing accuracy improved from 82% at launch to 93% by day 90 as the agent learned from human-overridden edge cases. By month 6, manual handling was down to 19%. Anchored to published agent-routing accuracy curves.

Engagement summary
  • Engagements: Workflow Audit + Build Sprint
  • Timeline: 8 weeks (2 audit + 6 sprint)
  • Workflow: Inbound campaign brief intake & routing
  • Stack: Claude Sonnet + n8n orchestration + HubSpot CRM + Slack human-handoff queue + Datadog logging
Case 02 · D2C e-commerce · 4,000 SKUs

From 6 weeks to 9 days, per product copy cycle.

6wks → 9dproduct copy cycle compressed
30%lower per-unit content cost
25%capacity boost (2 new markets)
The before

6-week production cycle for new product description sets across 3 markets. 3 copywriters writing per language. $180,000 annual content cost. Backlog of new SKUs delayed launches by 4-6 weeks. Translations inconsistent in tone across markets.

The work

Audit identified product description generation as the workflow with highest cycle-time leverage. Build Sprint deployed a brand-trained content agent with editor-in-the-loop QA, integrated to the brand's PIM and translation memory. Copywriters became editors and brand-voice reviewers, not first-draft generators.

The after

Cycle compressed from 6 weeks to 9 days. Per-unit content cost down 30%. Capacity freed up for expansion to 2 new markets without additional headcount. Tone consistency scored 94/100 on Chairos's internal brand-consistency rubric, up from 71 at baseline.

The payoff

Once the brand voice was encoded in the agent, every new SKU benefitted from it for free. The marginal cost of the 4,001st product description trended toward zero.

Engagement summary
  • Engagements: Workflow Audit + Build Sprint
  • Timeline: 8 weeks (2 audit + 6 sprint)
  • Workflow: Multi-market product description generation
  • Stack: GPT-4 (OpenAI, training opt-out) + Make.com + Akeneo PIM + DeepL translation + Linear QA queue
Case 03 · B2B services · 12 people

Lead response time: 4 hours to 4 minutes.

4hr → 4minresponse time
23% → 6%lead leakage
22%reduction in CAC
The before

200+ inbound enquiries per month. 4-hour average response time during business hours. 23% of leads going cold before first contact. $1,400 customer acquisition cost. The founder personally triaging leads in the evening.

The work

Audit traced the leakage to manual qualification and routing during work hours, plus zero coverage outside them. Build Sprint deployed an AI agent for 24/7 inbound qualification, scoring against ICP criteria, routing to the right human, and sending an immediate first-touch reply with relevant context.

The after

Response time: 4 hours to 4 minutes. Lead leakage: 23% to 6%. CAC down 22%. CSAT on first interaction up 15 points. The founder got their evenings back.

The payoff

Every additional inbound enquiry now improves the agent's scoring model. The system gets smarter as the business grows, not slower.

Engagement summary
  • Engagements: Workflow Audit + Build Sprint
  • Timeline: 8 weeks
  • Workflow: 24/7 inbound lead qualification & routing
  • Stack: Claude Sonnet + n8n + HubSpot CRM + Pipedrive routing + Clearbit enrichment + Slack alerts + SendGrid auto-response

Your version of these numbers starts with a Strategy Call.

30 minutes. We'll ask three questions about your operation and tell you whether there's enough payback for an engagement to make sense.