Enterprise AI in production, in regulated environments
Ten programmes where the model had to survive an audit, not a demo. Sectors and problems are real; written outcomes are being prepared with each client.
Fraud detection in financial transactions
Real-time transaction monitoring where every decision stays reconstructable from the evidence that produced it.
AI employee assistant and contact centre automation
Agentic retrieval over internal knowledge, with human escalation designed in.
KYC due diligence automation
Document-heavy onboarding compressed without losing the audit trail.
Automated data capture from engineering drawings
Computer vision converting legacy drawings into structured, queryable data.
AI search assistant for a regulatory knowledge base
Retrieval over controlled documents, with citations back to source.
Mortgage and lending compliance assurance
Checks applied consistently across every case file, evidenced end to end.
AI customer service automation
Conversational support grounded in approved answers, not model guesswork.
Automated verification of financial statements
Disclosure validation at volume, with every judgement traceable.
AI supervision brain
A monitoring layer over automated decisions, escalating what humans must see.
AI search assistant for e-learning
Course-wide retrieval that answers in the learner's context.
Titles and sectors are real. Imagery is licensed stock and outcome copy is indicative, both pending NQ's written case studies.
Recognise your own problem here?
Written outcome summaries are prepared with each client and shared under NDA. Tell us which programme resembles yours.