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 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.