Case Studies

Proof, not promises.

Real AI systems we've shipped for real businesses — the problem we found, what we built, and what changed as a result.

85%Less manual ops
3 wksIdea → production
24/7Autonomous coverage
01

Healthcare · Knowledge Assistant

A secure AI knowledge assistant, with answer accuracy raised from 78% to 92%.

A large organisation in a highly regulated environment had critical knowledge scattered across internal documents and systems — and needed faster answers without exposing sensitive data or trusting a model that could be confidently wrong. We built a Retrieval-Augmented Generation (RAG) assistant that answers only from approved internal sources, within their privacy and infrastructure constraints, and added automated evaluation across groundedness, relevance and completeness. Tuning retrieval and prompting lifted evaluated answer accuracy from ~78% to 92%, giving employees fast, trustworthy access to organisational knowledge — with a measurable framework for keeping it reliable.

RAGAI EvaluationEnterprise Security
02

Embedded Fintech · Regulated Ops

Cut a two-week, 14-step compliance workflow to two days — at a lower error rate than the team it replaced.

A compliance-heavy financial product ran every case through 14 manual steps over two weeks, handled by a 26-person operations team — correct, expensive, and impossible to scale. With compliance in the room from day one, we automated the habitual steps — eligibility pre-filled from public data, a RAG system over historical filings and regulatory guidance, OCR document classification and drafted filings — while keeping human review where judgment was real, and setting a sub-2% false-positive bar benchmarked to top-four firms rather than chasing perfection. The result: seven steps, two days and a far leaner team at twice the case volume, with conversion, retention and NPS all rising sharply.

AI AutomationRAGDocument AICompliance
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