Not hypotheticals. These are systems I have built and deployed — what the problem was, what was built to fix it, and what actually changed as a result.
200+ daily field appointment tickets handled automatically. A WhatsApp-first message escalates to an LLM-powered conversational call only when a partner hasn't reached the site — keeping per-transaction cost low and staff focused on genuine exceptions.
Read case study30 supplier invoices a day, each manually checked for GST numbers, PAN records, and work order references. An OCR pipeline now extracts, validates, and fuzzy-matches every invoice automatically — catching a 4% error rate the team was missing.
Read case studyField reps record a two-minute voice note after every client meeting. Whisper transcribes it on-premise. An open-source LLM structures the transcript into action items, CRM updates, and general notes. Meeting capture went from 40% to 100%. No client data leaves the organisation.
Read case studyInvestor associates ask the same boilerplate questions every deal cycle. A RAG pipeline indexed the financial data — revenue trackers, projections, cohort and churn tables — behind a phone + PIN auth gate. Investors query in plain English and get answers in seconds.
Read case studyFinding an available partner at a workable price meant a dedicated team calling down a list. A voice bot now runs the first conversation end to end, up to 500 calls a day, ten at once from a single number. It costs 25% more per call than the person it replaced — and was still the right decision.
Read case studyScope broken into priced units against a rate card, assembled into a proposal. Its first five outputs were rejected at approval — and the model was working perfectly. The documents underneath it were stale, and finding that out was worth more than the tool.
Read case studyEarly plant room sizing drives building configuration and saleable area, but a consultant assessment takes weeks and the decision is made in hours. Built with deterministic geometry rather than a generative model — because a layout that feeds an investment decision has to be checkable, not plausible.
Read case studyTwenty-five quotations a month, each a copy of the same Excel file, each about half a day. Ported to an application that prices, draws and freezes quotations — with the original cell references kept in the code so the client's own engineers can audit every figure.
Read case studyBooking automation · Client retention · Review generation · No-show reduction.
Client onboarding · Document workflows · Follow-up sequences · Reporting automation.
Process diagnostics · AI integration · Staff effort reduction · Cost-per-transaction optimisation.
90-minute AI Opportunity Audit. No pitch — just findings you can act on.