Production AI and automation a real business depends on every day.
Turns scattered business knowledge into grounded, cited answers leadership actually trusts.
A naïve "embed everything" prototype recalled the right source about 1 time in 20, and hallucinated confidently when it missed.
Rebuilt retrieval as a hybrid system (vector + keyword) with reranking, an automated eval harness, and a human-in-the-loop critic that refuses to auto-trust new facts.
The tools leadership opens every morning, not a dashboard nobody reads.
A 24-month seasonal cashflow forecaster with a rolling 13-week treasury and payroll-cover check, an operations risk co-pilot that flags job risk from weather and route data, and marketing-attribution dashboards.
Decisions get made on data instead of gut, and the forecast is honest enough that the board trusts it.
Customers get a price and a slot in seconds, while competitors still quote by hand.
A central pricing engine as a single source of truth, exposed through an AI-assisted instant-quote flow and a self-service booking journey wired into the CRM and payments.
Online conversion more than doubled, and a large share of bookings now complete with no human touch.
The business runs from one panel instead of tribal knowledge.
An idempotent, rate-limit-aware layer connecting CRM, field-service, finance and e-sign, replacing a fragmented manual process with automated, gate-based tracking and a single live control panel.
Roughly half of routine activity now runs itself, with around 200 staff-hours a month handed back and month-end reconciliation gone.
Happy to walk through any of these end-to-end: architecture, trade-offs and the actual figures, all under NDA.