Topic
Intelligence is becoming abundant and cheap to rent. I believe the enduring value is in how a company makes its own operating knowledge usable and keeps authority over it. Here is how we are putting that conviction into practice at Aletyx.
Agents are shipping in regulated industries, but almost all of them only draft and assist. The reason is not capability, it is accountability. The fix is to move the decision out of the language model and into something a human can review, version, and defend.
Two DMN models of the same regulation can both pass their tests while only one survives the next amendment to the law. From the inaugural Aletyx industry webinar with Dr. Jan Purchase: traceability, knowledge sources, rationale capture, constrained types, clean factoring, and tests.
A hands-on walkthrough in the Aletyx Playground: attach a loan policy PDF, let the AI Assistant draft the DMN decision model, change thresholds in business language, and pin generated tests so every future change is validated before it ships.
How Aletyx helps you build AI applications that are accountable for regulatory compliance, including the 2026 GSE AI governance requirements.
Decision tables make business policies visible, testable, and changeable without code. See what they look like when business people use them, and how AI accelerates authoring.
Decision analysts understand policy changes first, but often can't ship them to production. Learn how Aletyx Decision Control and the Aletyx AI Assistant close the gap between business intent and working decision models.
Why are intelligent systems often associated with lack of compliance? Unpack the trade-offs derived from the characteristics of the types.
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