KnowledgeAgent.
AI Answers You Can Defend.
See how a highly regulated organisation unlocked accurate, auditable answers from fragmented SharePoint, PowerPoint and legacy documents and why this approach is now critical for financial services.
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What you’ll learn
This case study shows how a highly regulated organisation solved the same knowledge failures that slow down financial services teams today, without introducing risk or new systems.
You’ll learn:
1. Why generic AI breaks down in regulated environments
And how grounding AI in your own policies, procedures and standards delivers accurate, auditable answers – not hallucinations.
2. How messy, unstructured content becomes instantly usable
No data cleansing programmes. No replatforming. No perfect metadata. Just fast, reliable, fully referenced answers from the content you already have.
3. How siloed documents become a single source of truth
Replacing search, guesswork and manual validation with a controlled knowledge layer teams can trust for decisions, audits and compliance.
Why this approach matters
AI in financial services doesn’t fail because data is messy. It fails because answers can’t be trusted.
If an AI system can’t show exactly where an answer came from, it has no place in regulated work. Compliance blocks it. Users abandon it and value never materialises.
Regulators don’t care if an answer sounds right. They care that it’s grounded, explainable, and auditable.
This case study shows how a highly regulated organisation solved the problem by fixing the knowledge layer first, creating a secure, organisation-specific source of truth that enables AI to deliver accurate, fully referenced answers without replatforming or waiting for perfect data.
Inside the case study
See how a highly regulated organisation moved from AI experiments to production-grade, defensible AI.
How ‘zero-hallucination’ AI works in the real world
Every answer grounded in approved internal sources, fully traceable and able to return ‘I don’t know’ when evidence doesn’t exist.
How static policies became active compliance support
Transforming passive document libraries into live, queryable guidance that strengthens oversight without adding manual effort.
How embedding AI in Microsoft Teams unlocked adoption
Trusted answers delivered directly inside existing workflows with no new tools, no training burden and no behaviour change.
Why fixing messy knowledge beats chasing perfect data
Governance enforced at the answer level, improving decisions while preserving trust across the organisation.
About Catapult
Catapult are software engineers, not a generalist consultancy. We are trusted by central and local government to unpick complex legacy knots and modernise critical infrastructure.
We don’t believe in ‘rip and replace’ or endless strategy phases. Instead, we use agile methods to clean data and build working AI proofs-of-concept in weeks, not years. If you need to turn ‘innovation theatre’ into deployed, secure and scalable reality, we are the software engineers who get it done.
"We weren’t just exploring AI, we had real business problems to solve. Processing millions of identity documents demanded secure, private infrastructure we could control. Catapult helped us deploy a high-performance AI platform inside our own environment, with zero data leakage and total transparency. Now we’re confident in scaling AI, without compromising speed, cost, or trust”
Head of Data & AI
Global Pharma
