Critical Decisions, Made Executable at Scale.
Transform policies, regulations, and unstructured documents into traceable, governed decision logic your organisation can execute.
When an AI answer is not enough
"Anybody can do the magic trick of extracting fields from a document.
However, proving the accuracy of such extractions, ensuring they're not an outcome of a model hallucination,
and recording the version and outcome become essential in a regulated industry.
The combination of capability and certainty is absolutely fire."
Alex Taylor, Global Head of Emerging Technology from QBE Ventures
Probabilistic AI
Useful for retrieval, summarisation and drafting, but probabilistic outputs need controls when they inform high-consequence workflows.
Governed decision support
Uses AI for language understanding and approved, version-controlled logic for policy reasoning—making sources, uncertainty and escalation explicit.
From policy wording to executable decision logic
Use AI to structure policy language, then let authorised experts review, test and approve the logic before it is used to evaluate evidence.
Step 1: Structured policy knowledge
We extract relevant policy concepts, conditions, definitions, exclusions and relationships into a source-linked representation for expert review.
Structured policy decision logic
If approved conditions are satisfied → coverage assessment
Step 2: Approved reasoning
Claims, product, legal and domain experts validate the policy representation. Semantic Labs then applies explicit, version-controlled logic to structured available information.
Step 3: Traceable recommendation and escalation
The system shows applicable policy conditions, available evidence, missing information and source clauses. Cases outside defined bounds are escalated for authorised human review.
Recommendation: expert review
Policy conditions, evidence and exceptions are source-linked
Turn complexity into operational clarity
Surface obligations, exceptions, dependencies and change impacts so teams can act on policy logic with greater consistency and control.
Structured policy interpretation
Make policy obligations and exclusions inspectable rather than leaving them embedded in prose.
Cross-document obligation discovery
Find conditions, dependencies and definitions across schedules, endorsements and policy wording.
Policy-logic testing and validation
Test approved logic against scenarios and link each condition to its source wording.
Policy comparison and change impact
Compare policy versions to identify meaningful coverage changes and logic that requires review.
Make policy reasoning executable and governable.
See how human-verified policy logic can support consistent, traceable recommendations in high-consequence workflows.
Book a decision-intelligence workshop