Sertainly compiles business logic into deterministic decision APIs — versioned, governed, and traceable. AI can reason. Business decisions must be deterministic.
Deterministic verdicts via REST + MCP. Give your agents rules they can't break.
Explore agent integrationExternalise pricing rules, approval thresholds, and eligibility criteria into versioned APIs.
See the developer platformGoverned, auditable decision infrastructure — from document to production API.
Explore enterprisePOST /evaluate “package_id”: “expense_policy”, “case”: { “request”: { “category”: “MEAL”, “amount”: 185, “attendees_count”: 3 } }
{
“verdict”: “compliant”,
“reason_codes”: [“MEAL_UNDER_LIMIT”],
“trace_id”: “tr_8f2a...c3d1”
}Every organisation has rules that govern decisions — pricing logic, approval thresholds, eligibility criteria, compliance requirements. Those rules live everywhere and nowhere. AI and agents make this worse: without explicit, governed rules, every decision is an improvisation.
Business rules are scattered across services, duplicated in every app. Changing a threshold means deploying code. Nobody can audit which version of which rule is in effect.
Thousands of pages of policy, compliance rules, and operating procedures exist as PDFs. No system reads them. No agent follows them. They're shelfware — until someone gets it wrong.
AI agents improvise rules from context windows. Different prompts produce different answers. There's no versioning, no audit trail, no governance, and no guarantee of consistency.
Sertainly is a dedicated architectural layer where business logic is compiled, governed, deployed, and executed as deterministic APIs. Every decision is traceable to its rules, its source documents, and its inputs.
Upload documents or write rules directly. AI extracts logic and compiles it into versioned, immutable decision packages.
Review, test, and approve every rule before it reaches production. Full audit trail from source document to runtime artifact.
Publish as REST APIs and MCP tools. Pin versions per environment. Roll forward or back instantly.
Every call returns a deterministic verdict, reason codes, and a full trace. Same input, same output — always.
Sertainly combines two capabilities that are usually separate: turning documents into executable rules, and running those rules as decision infrastructure.
Upload policies, contracts, handbooks, or compliance documents. AI extracts every rule, threshold, and routing condition — then compiles them into formal decision rules. Nothing reaches production without review and approval.
A dedicated decision layer in your enterprise architecture. Compiled rules run as deterministic APIs that any system can call — agents, applications, workflows, or enterprise systems.
AI does the work at build time. The runtime is pure computation.
Upload documents or write rules. AI extracts and compiles them into versioned decision packages.
Review every rule. Test with AI-generated scenarios. Approve before production.
Publish as REST APIs and MCP tools. Pin versions. Roll forward or back instantly.
Any system calls the API. Every call returns a deterministic verdict, reason codes, and a full trace.
AI agents cannot safely improvise business decisions. Sertainly gives them deterministic decision APIs they call via REST or MCP — action gating, routing, validation, and structured data collection with needs_info.
Write decision rules locally in BDL. Validate and test on your machine. Publish to Sertainly. Evaluate via REST or MCP. Change rules without redeploying — business owns the logic, engineering owns the integration.
Make business decisions a governed system in your architecture — not application code scattered across teams. Sertainly provides the full pipeline from source document to production decision API, with approval workflows, RBAC, and regulator-ready audit trails.
Traditional rules engines embed logic in applications. Sertainly runs decisions as infrastructure.
| Dimension | Traditional Rules Engines | Sertainly |
|---|---|---|
| Where rules live | Embedded in application code or database | Independent decision layer |
| How rules are authored | Manual coding by engineers | AI-extracted from documents + human review |
| Governance model | Code review / PR-based | Approval workflows, RBAC, audit trails |
| Runtime model | Coupled to the application | Standalone deterministic API |
| Deployment independence | Rules deploy with the app | Rules deploy independently, version-pinned |
| Traceability | Application logs | Full trace per decision with source citations |
| Determinism | Depends on implementation | Guaranteed — compiled, no AI at runtime |
| Agent readiness | Not designed for agents | REST + MCP, structured needs_info, action gates |
Where compliance, auditability, and consistency are non-negotiable — business logic deserves to be infrastructure, not improvisation.
In healthcare, a wrong decision isn't just costly — it has consequences. Enforce prior authorization, formulary rules, and billing compliance deterministically with full trace for every decision.
Learn more →Every claims decision should be defensible. Compile underwriting guidelines and claims rules into executable logic. Every decision links back to the source clause that produced it.
Learn more →Every credit decision you make is examinable. Deterministic loan eligibility, KYC/AML enforcement, and credit decisioning with version-pinned rules and regulator-ready audit trails.
Learn more →Stop burying decisions in code, documents, and prompts. Make them a governed system in your architecture.