Business logic is scattered across code, documents, spreadsheets, and AI prompts. Sertainly compiles it into governed, auditable decision infrastructure — with zero AI at runtime.
Zero AI at runtime. Deterministic. Auditable. Governed.
Audit in progress. Encryption in transit and at rest across every deployment model.
SAML, OIDC, and SCIM. RBAC with environment-scoped permissions and approval workflows.
Every published decision package is hashed and signed. Tampered artifacts never execute.
Deploy in our cloud, your VPC, or fully air-gapped on-prem. Data stays inside your boundary.
POST /api/public/v1/packages/claims_adjudication/evaluate
{
“case”: {
“claim”: {
“type”: “AUTO_COLLISION”,
“amount”: 18400,
“incident_date”: “2026-06-02”
},
“policy”: { “status”: “ACTIVE”, “deductible”: 1000 }
}
}{
“status”: “ok”,
“outputs”: {
“tags”: [“MANUAL_REVIEW”],
“reason_codes”: [“AMOUNT_ABOVE_FASTTRACK”],
“routes”: [ { “to”: “senior_adjuster” } ],
“facts”: { “covered_amount”: 17400 }
},
“trace_id”: “trc_clm_9d2e...a17”
}{
“trace_id”: “trc_clm_9d2e...a17”,
“applied_rules”: [{
“id”: “route_above_fasttrack”,
“phase”: “route”,
“emitted”: { “tag”: “MANUAL_REVIEW”, “route”: “senior_adjuster” }
}],
“skipped_rules”: [{ “id”: “auto_approve”, “reason”: “when=false” }]
}AI assists at compile time — extracting rules from documents, generating test scenarios, diagnosing failures. At runtime, every decision is pure computation. Same input, same output, every time. No model inference, no probabilistic reasoning, no prompt variability.
Sertainly compiles natural-language business logic into a deterministic execution layer — no runtime interpretation, full audit trail.
Drop in PDFs, handbooks, or compliance docs. AI extracts rules, thresholds, and routing conditions into formal decision rules.
Inspect every extracted rule. Run AI-generated test scenarios. Approve before anything reaches production.
Package as a versioned, immutable decision artifact with full provenance. One click to production.
Deploy to shared or dedicated runtimes. Every decision is traced, auditable, and deterministic.

A dedicated layer between business intent and execution. Integrates with your existing systems — does not replace them.
Whether you call the shared API, run a dedicated instance, or embed the engine in your own stack — every decision is compiled once and executed identically.
Fully managed by Sertainly with per-tenant isolation, encryption in transit and at rest, and RBAC — operated within our SOC 2-scoped environment.
Single-tenant instance in Sertainly's cloud or your VPC. Full network isolation, custom scaling, SLA guarantees.
Run the engine as a sidecar, Lambda, or library inside your own services. Decisions stay on-prem — no external calls.
Every published artifact is hashed and signed. Runtimes verify integrity before loading — tampered artifacts never execute.
Fully managed infrastructure. Zero ops overhead. SOC 2 Type II in progress.
Deploy into your own AWS, Azure, or GCP account. Data never leaves your network boundary.
Air-gapped deployments for regulated industries. Full control over hardware, networking, and data residency.
evaluate_case as a native toolNo AI at runtime. Compiled business logic evaluates the same way every time — across environments, runtimes, and versions.
Every decision includes the rules that fired, the source document sections they came from, and the data that matched.
Semantic versioning for decision packages. Diff any two versions to see exactly what changed — rules added, removed, or modified.
Configure enforcement levels, field defaults, and overrides per environment without recompiling.
Run historical data against new versions before promoting. See how many decisions would change and why — and the same engine runs retroactively to size the blast radius of a correction.
RBAC, SSO (SAML/OIDC), approval workflows, environment promotion gates, and signed audit exports.
Before an agent executes a high-stakes action, it calls Sertainly to get a deterministic allow/deny verdict — no prompt-level guardrails required.
Define what “done” looks like for a case. The agent checks its work against the policy before closing — ensuring nothing is missed.
Let the policy compute risk scores, tiers, or classifications deterministically — so every agent in a swarm uses the same derived values.
Route cases to human review when policy conditions are met. Agents handle the happy path; humans handle the exceptions.
Control which tools an agent can invoke based on context, role, and case attributes — enforced by policy, not by prompt engineering.
Every decision is traced and replayable. When multiple agents collaborate, you get a single, auditable decision log across the entire swarm.
Every source, snapshot, version, and release forms an immutable lineage. A case is judged by the rules in force on its business date — reproducible forever, even re-run years later in an audit.
A release binds a version to a date window. Date-based routing sends each case to the rules that were in force on its business date — so a 2024 decision replays identically in a 2030 audit.
A Retired version stays valid history — the rules changed, but its past decisions were correct. A Withdrawn version is a correction: it was wrong, and everything it touched is flagged for remediation.
Mark a version wrong and Sertainly re-runs every decision it made, then hands you the blast-radius worklist — the exact list of affected people and cases to remediate.
Promote a prior version back into force in one step. The lineage is preserved — nothing is overwritten, and the rollback itself is dated and traceable.
Every change is classified — breaking, additive, or internal — before it ships, so integrators know exactly what a new version means for their inputs and outputs. Pairs with version control & diffs.
Snapshots and versions are immutable and signed. Any decision, from any point in the timeline, can be reconstructed exactly — no guesswork, no drift.
How date-based routing, editions, and remediation work in practice.
Read: When the Rules Change →By Industry
Automate lending decisions, transaction monitoring, and regulatory compliance with deterministic, auditable policy.
Enforce underwriting guidelines, automate claims adjudication, and maintain compliance across jurisdictions.
Codify clinical protocols, prior-auth rules, and compliance requirements into executable, traceable policy.
Determine eligibility and enforce compliance deterministically, with statute-linked reason codes and a defensible audit trail.
Embed policy-driven guardrails into AI products, platform features, and multi-tenant access control.
Enforce procurement rules, supplier compliance, and quality-control policies across supply chains.
Digitize regulatory frameworks, benefits eligibility, and permitting rules with full transparency and audit.
By Role
Standardize decision logic across the org. Replace scattered rule engines with a single, governed decision layer.
Integrate decisions via REST API or SDK. No more hard-coding business rules in application logic.
Give AI agents deterministic guardrails via MCP. Policy enforcement without prompt engineering.
Full decision traces with source citations. Export audit logs for regulatory review — no reconstruction needed.
Make decisions a governed system in your architecture.