Policy layer for compliance decisions
When compliance logic spreads across workflows, applications and spreadsheets, every policy change becomes harder to maintain, test and audit.
Knowledge centralizes that decision logic in one governed layer - without replacing your existing stack. Applications, workflows and AI agents can ask Knowledge what information is required and what decision applies.
Caller sends context
Knowledge evaluates applicable rules
Returns verdict + cited rules + normative_hash
Every call replayable years later
Does this sound familiar ?
- A policy change means finding every workflow, application and spreadsheet where the logic was copied.
- Your onboarding asks for information "just in case" - even when most of it never affects the decision.
- Half of your review queue is cases a rule could have decided.
- A regulator asks you to reproduce a decision from 18 months ago, and reconstructing the exact policy version takes weeks.
- Your AI agent works - until Legal blocks it from taking action, because a probabilistic policy interpreter is not signable.
What Knowledge changes
One governed policy layer. Many callers.
Your applications, workflows and AI agents send a context. Knowledge returns a deterministic verdict with the exact rule applied and a replayable audit trail.
One policy, many callers
Web forms, mobile apps, back-office queues, BPM tools, AI agents - all consult the same source. Change once, propagates.
Deterministic verdicts
Same input, same output. Every decision cites the rule that fired. No LLM variance at the decision boundary.
Replayable audit
Every consultation is stored with a snapshot key that reconstructs the exact policy state, years later. Answering a regulator takes seconds, not weeks.
Progressive collection
Knowledge tells the caller what information is still needed for the current decision. No more asking "just in case".
Works with your existing stack
No rip-and-replace. Five modes to choose from.
Knowledge does not replace your workflow engine, your KYC vendor, your OMS or your legacy decision code. It inserts alongside them.
Already have a decision engine ?
Knowledge adds new rules or governs existing ones without changing what runs today. Blocking verdicts stop bad decisions pre-execution.
Want to validate first ?
Knowledge computes verdicts in parallel with your existing system, discrepancies surface for review. Zero risk to production.
Launching a new domain ?
Knowledge handles the new flow, the rest stays on the legacy. No impact on today's flows, full control on the new one.
Building something new ?
Knowledge is the decision layer from day one. Install a vertical pack, calibrate the thresholds, working in weeks.
Vertical proof today
Real decisions modelled and running.
Wealth
Structured Products distribution
Product eligibility, client suitability, cross-border rules, portfolio concentration. Four policies, thirteen rules, working reference integration.
See the Wealth walkthrough →KYC / KYB
Onboarding decisions
Progressive collection, jurisdictional rules, PEP and sanctions gating, source-of-wealth documentation. Sits above your IDV vendor.
See the KYC walkthrough →Start small
Start with one decision, not a transformation programme.
Pick one painful decision. Model it in Knowledge. Run it alongside your existing system. Measure the result. Decide whether to expand.
See how a pilot works →