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Discover how we turned scattered banking documentation into instant, trustworthy answers

Teams spent hours hunting for the right answer across hundreds of procedures and regulatory documents.

Sector
Banking & financial services
Engagement
AI
Stack
LLM · RAG · Evaluation

The challenge

A financial services team spent a huge amount of time hunting for the right information across hundreds of procedures, contracts, and regulatory documents. The result: slow answers, occasional inconsistencies from one person to the next, and a real risk of error on sensitive topics.

The process

We built a conversational assistant that reads across all of this documentation and answers a plainly-worded question in plain language. Every answer is grounded in the client's real documents and cites its exact source — never made up. Before rollout, we tested it against hundreds of cases, including trick questions, to make sure it stays accurate, cautious, and dependable.

What we shipped

  • An assistant that answers in plain language from internal documentation
  • A cited source behind every answer, verifiable in one click
  • A systematic reliability check before every update
  • Safeguards against risky or off-topic answers

The impact

  • Answers in seconds instead of lengthy searches
  • Reliable, traceable information — essential in a regulated sector
  • Fewer errors on sensitive topics
  • Teams focused on their work rather than digging through documents
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More work

A few more problems we've solved.

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Automatically matching consultants to assignments — with a clear, justified recommendation.

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A redesigned fintech trading dashboard

A European fintech dashboard

Their trading dashboard was slow, hard to extend, and losing users to faster competitors.

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An AI copilot drafting a support reply

An AI support copilot

Support agents were drowning in repetitive tickets and slow to find the right answer.

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A modern cloud deployment pipeline

Cloud migration for a SaaS platform

A monolith on ageing servers made every release risky, slow, and hard to scale.

View case study →
A dashboard tracking an AI assistant’s quality over time

We built the quality checks that keep an AI assistant trustworthy over time

An AI assistant already in daily use risked losing quality with every update, with no way to catch it.

View case study →
Nodus

A product studio. We design, build, and ship AI-native products — end to end.

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