
/ Case Studies
The bottlenecks we've already eliminated
Each study names the workflow, the system we built, and the numbers it moved. Find the operation that looks like yours.

— Professional Services
— Healthcare Operations
Lead follow-up fell through the cracks daily
Appointment scheduling required three staff members
An AI-driven lead pipeline now qualifies, scores, and sequences follow-ups automatically. The sales team closes; the system handles the first four touchpoints.
A trained AI chatbot now handles booking, rescheduling, and intake forms across WhatsApp and the clinic website. Staff answer clinical questions, not calendar queries.
3x pipeline velocity. 68% reduction in cold leads slipping. Live in 7 weeks.
2.5 FTE reallocated. No-show rate cut by 44%. Deployed in 6 weeks.
— Logistics / Distribution
Reporting took a full day every week — then stopped being done
We connected five data sources into an automated reporting pipeline. Ops managers receive a consolidated dashboard every Monday at 7 AM — built on their actual KPIs, not a template.
8 hrs/week recovered per manager. Decision lag dropped from 5 days to same-day. Zero manual data pulls since go-live.

Numbers from live systems, not projections
91%
3–6 wks
200+
4 sectors
Retail, professional services, healthcare, and logistics — different workflows, same build method.
Average error rate reduction across automated workflow deployments.
Median time from scoping call to a working automation system in production.
Staff hours recovered per month on average across client operations teams.

Seen a problem that looks like yours?
Bring us the specific task your team repeats every week. We'll scope a system against it — no generic discovery deck, no long roadmap.

