AI delivery tied to real business outcomes
Three engagements across financial services, insurance, and legal — what the team was stuck on, what we built, and what changed in production.
- Industries shipped
- 3+
- Faster delivery
- 10×
- Production code
- 100%
Fintech startup accelerates development
What used to take a full sprint now ships in days.
The challenge
A growing fintech could not keep pace with its own roadmap. Repetitive scaffolding, slow reviews, and drift between modules were eating the sprint as the codebase expanded.
What we built
We wired codebase-aware AI into the workflow they already had — assistants configured against their architecture patterns, API conventions, and security rules, plus an automated review pass that caught issues before a human opened the pull request.
The outcome
Work that filled a sprint now lands in days, with the same review gates in place. New developers ramp faster because the patterns are encoded in the tooling, and delivery sped up without extra hiring.
Insurance provider scales customer service
Most enquiries resolved instantly — without adding headcount.
The challenge
Policy, claims-status, and coverage questions arrived faster than the support desk could answer them. Customers queued for information that already sat in the systems of record.
What we built
We built a multi-agent system that handles enquiries end to end. A router agent reads intent and hands off to specialised agents for policy lookup, claims status, or coverage. Anything ambiguous escalates to a person with the full conversation and record attached.
The outcome
Straightforward questions are answered on the spot, and the human team spends its day on the cases that genuinely need judgment. Satisfaction scores improved and the volume is absorbed without adding headcount.
Law firm makes its archive searchable
Research that took hours now takes minutes.
The challenge
Decades of case files, contracts, and correspondence sat across several systems. Lawyers spent hours hunting for precedents and clauses, and still missed material buried in scanned archives.
What we built
We built a retrieval layer over the whole repository — scanned PDFs, email, and the case-management database. Lawyers ask a question in plain English and get an answer with a citation back to the source document.
The outcome
Research that ran to hours now takes minutes. Precedents nobody remembered filing turn up in search, and junior associates get productive sooner because the firm's institutional knowledge is one query away.
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