Proof, not promises

Every number here is hours someone got back.

Behind each card is the same story: a capable team buried in manual work, a Blueprint that found where the hours were hiding, and a build handled with the care we would want for our own operation.

20 selected engagements · 11 industries · measured in hours returned

20 case studies across 11 industries

Pet Care & VeterinaryVeterinary ops. Now handled by AI.Appointment requests, follow-ups, and routine questions arrived around the clock. An AI front desk now handles them all — humans step in only where judgment matters.24/7Autonomous support, no staff requiredRead →Construction & Real EstateAn AI agent for intelligent lead discoveryEstimators found projects only after bidding opened. An AI agent now scans local sources continuously, scoring and delivering early-stage opportunities before competitors know they exist.90%Lead relevanceRead →LegalCase management. Automated end to end.Every case file meant hours of reading, extracting, and re-typing into forms. Documents are now read and structured automatically — lawyers review, not retype.95%+OCR accuracy across case documentsRead →Pet Care & VeterinaryFrom first message to confirmed booking.Enquiries used to wait for opening hours. Now they're answered, qualified, and booked before a competitor even reads the message.<60sResponse time, day or nightRead →Healthcare & Life SciencesA lab scaled sample intake 20× — same teamHome-sampling growth was capped by manual order handling. Automated intake and routing removed the ceiling without a single new hire.20×Order handling capacityRead →Ecommerce & RetailEvery search now ends somewhere.Customers who couldn't describe what they wanted left empty-handed. Visual search now matches any photo to inventory — every search ends somewhere.0%Zero-result searchesRead →SaaS & SoftwareA 4-hour quote became a 10-minute win.Every quote meant spelunking through the ERP. AI quoting now drafts, prices, and formats — sales just reviews and sends.10×Faster quote turnaroundRead →Logistics & Supply ChainManual order entry, eliminated.Orders arrived by email, PDF, and portal — and were re-typed into the TMS. Intake now runs straight through; humans see exceptions only.97%Reduction in manual data entryRead →LegalInstitutional knowledge. Now an AI agent.Decades of precedent lived in senior partners' heads. An internal agent grounded in the firm's own work now answers at expert level, instantly.24/7Expert-level answers, on tapRead →Healthcare & Life SciencesDoctor notes into permanent patient records.Advice given in the room was forgotten by the parking lot. Visit notes now become structured, shareable records — automatically.ZeroDetails lost after a visitRead →Ecommerce & RetailNine years of manual research. Done in hours.Product research that had accumulated for nearly a decade was processed, structured, and made searchable in a single engagement.9y→hrsProcessing time, years to hoursRead →Construction & Real EstateContracts & drawings, read by machine.Critical data hid in contracts, drawings, and change orders. Document intelligence now extracts it on arrival — hundreds of hours back each month.90%Time saved in document reviewRead →SaaS & SoftwareSupport triage that knows the product.Every ticket was read, tagged, and routed by hand. AI triage grounded in the docs now routes, drafts, and escalates — humans handle judgment calls.−58%First response timeRead →Logistics & Supply ChainDispatch, fully automatedRouting lived in one dispatcher's head. An automated engine with human override now routes orders itself — and scaled without new hires.17×Order volume handledRead →HospitalityCustomer ops across calls & WhatsApp.Bookings, changes, and questions flooded phone and WhatsApp. Automated customer operations now handle both channels end to end.$30KSaved every year on customer handlingRead →Finance & AccountingMonth-end close, three days early.The close waited on documents, and documents waited on chasing. Collection now runs itself — the books start on the 1st, not the 10th.Day 3Close day, was day 10Read →Finance & AccountingClient documents that collect themselves.Every engagement began with weeks of reminder emails. Requests now send, chase, validate, and file on their own — the team does accounting again.−75%Time spent chasing documentsRead →Home & Field ServicesEvery missed call becomes a booked job.Crews on rooftops can’t answer phones — and every ring that dies is revenue. Missed calls now get an instant text-back that books the job.$0Revenue lost to missed callsRead →Home & Field ServicesQuotes that chase themselves until they close.Estimates went out and went quiet — nobody had time to follow up. Every quote is now nudged, answered, and booked without a human remembering.+31%Quote acceptance rateRead →EdTech & TrainingApplications arrived twice. Now they arrive once.Web forms, inbox PDFs, employer spreadsheets and scanned paper — all re-keyed into the student record system.94%Applications filed without manual entryRead →
What you're probably wondering

The questions these cards raise.

Are these results typical, or your greatest hits?

These are representative patterns, not outliers — we chose them because they repeat. Your numbers will differ with your volumes and systems, which is exactly why every engagement starts with a Blueprint that models your math before you spend on a build.

Why are the company names withheld?

Because we sign NDAs before we see a single record, and we keep them. The trade-off: on a discovery call we can walk you through any engagement here in as much operational detail as you need — references available where clients have agreed.

My industry isn’t listed. Does the method still apply?

Almost certainly. Manual work looks the same everywhere: something arrives, someone re-types it, someone chases it, someone reports on it. The industry changes the vocabulary, not the pattern — and the Blueprint exists to prove it on your operation before you commit.

How do you actually measure "hours returned"?

Before any build, we baseline how long the manual process takes — timed with the people doing it. After go-live, the system logs what it handles, and we report the difference monthly. It’s a number your CFO can audit, not a vibe.

How we handle your operation

Different industries. Same method. Same care.

Every engagement above began the same way: not with technology, but with listening. We sat with the people doing the work, learned where the hours were really going, and only then wrote a plan.

And every build shipped the same way: gradually, measured, reversible. Shadow mode before go-live. Humans in the loop before full automation. Monitoring from day one. Your operation is how people get paid and customers get served — we treat it that way.

The industries change. The discipline doesn't — because manual work looks remarkably similar everywhere: something arrives, someone re-types it, someone chases it, someone reports on it. We automate that chain, carefully.

The rollout was the least dramatic system change we've ever done. That's the highest compliment I can give.
— Operations director, multi-site manufacturer

Want results like these?

Tell us where your team is losing hours. We'll show you exactly what automation can do about it — and what it's worth, before you spend a dollar.

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AI automation case studies, with real numbers | Promata