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For Insurance Carriers, MGAs & Brokers

AI Your Regulators
Can Trace to a Rule.

DataGrout keeps the reasoning intelligent and the decision accountable — coverage rules, authority limits, and payment thresholds evaluated symbolically, every agent action authenticated and logged, and every approved decision backed by a signed Cognitive Trust Certificate.

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The Regulatory Reality

Where AI Breaks in Insurance

The finding is never that the model made a bad call. It is that when the DOI, a market conduct examiner, or an internal auditor asks which rule produced the outcome, the only answer available is a paragraph of reasoning.

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Claims and underwriting decisions no one can explain

An adjuster or underwriter receives an outcome with a rationale attached and no decision rule behind it. When a denied claim is appealed or a declined risk is challenged, there is nothing to point at — because the rule only ever existed inside a prompt.

🔒

Agent actions with no chain of custody

An agent reads the policy admin system, issues a payment, or writes an adjuster note — and leaves no signed record of which identity acted, which authority authorized it, or what it touched. That gap is the market conduct finding.

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Authority limits written as instructions

Settlement thresholds, referral triggers, and licensed-state restrictions end up as sentences in a system prompt. Instructions get weighed against everything else in the context window, and nothing enforces them at the infrastructure layer.

⏱️

Re-adjudication burns the loss ratio

Every retry, re-read, and re-derivation of a claim file is billed. Finance sees the invoice weeks later with no attribution back to the queue, the workflow, or the agent that caused it.

Insurance Use Cases

What You Can Put Into Production

Each of these runs on the same gateway, the same authority layer, and the same signed audit trail.

Claims Triage That Can Be Replayed

Severity scoring, coverage checks, and routing rules evaluated symbolically, so the same claim file routes the same way on every run and every routing decision traces back to the rule that fired.

  • Triage rules evaluated without a model in the decision path
  • Every routing decision traceable to the constraint that produced it
  • Claimant PII redacted before context reaches a model
IntelligenceHub

Underwriting Decisioning With Authority Limits

Appetite rules, licensed-state restrictions, and binding authority enforced by the platform rather than described in a prompt. Anything outside an underwriter's authority stops and waits for a named approver — and the approval becomes part of the record.

  • Authority limits enforced before the bind step executes
  • Constraints checked against the step about to run, not after
  • Complete record of who approved what, and when
HubIntelligence

Fraud Detection and SIU Referral

Indicator rules held as persistent facts, scored with seeded arithmetic, and matched against prior claims on a shared identity key rather than a model's guess — so a referral can be justified line by line.

  • Indicator rules evaluated symbolically against stored facts
  • Seeded scoring that returns the same result on re-run
  • Referrals traceable to the indicator that triggered them
IntelligenceMemory

Eligibility and Policy Verification

Joins across policy admin, billing, and member systems run in-process — no model call, no hallucinated coverage answer. Type bridging reconciles the same member across systems on a shared identity key.

  • Deterministic joins and aggregation with zero token cost
  • Coverage verified against structured data, not prose
  • Itemized receipts per call, attributed to the workflow
HubIntelligence

Reconciliation and Regulatory Reporting

Premium, claims, and reserve figures reconciled from structured data, reports versioned as persistent documents, and filings produced by workflows that were verified before they ran — then saved as reusable, signed skills.

  • Reports rendered from structured data, not prose
  • Version-tracked documents for every filing
  • Verified workflows re-run without re-verification
IntelligenceMemory
The Deterministic Core

What Stays Probabilistic — and What We Make Provable

We do not claim the model becomes deterministic. We separate the two: the agent reads the file, and everything that has to survive an examination is evaluated symbolically, verified before execution, and signed after it.

Stays probabilistic
  • Reading a claim file, a loss report, or a broker submission
  • Drafting the rationale a claims handler or underwriter reads
  • Recognizing that a file needs referral at all
Made deterministic and provable
  • Coverage rules, authority limits, and referral triggers live in Logic and Batteries — evaluated symbolically in sub-millisecond time, and able to block a step before it runs
  • Payment and settlement gates halt the transaction until a named human with the right authority signs off
  • Every plan is verified cycle-free, type-safe, policy-compliant, and credential-complete before execution
  • Cognitive Trust Certificates are signed with Ed25519 by the DataGrout Certificate Authority — compile-time assurance plus runtime confirmation
  • Claimant PII is detected and redacted before it ever reaches the model's context
  • Every action lands in a complete execution audit trail carrying its cost and its authorizing identity

A claim cannot be paid until the decision is provable — and once it runs, the proof is signed.

Proof, Not Promises

The Evidence Your Examiners Will Ask For

Four artifacts that turn an agent action into something a compliance committee can accept.

Signed proof of every approved decision

Each verified plan receives a Cognitive Trust Certificate — a cryptographic attestation signed with Ed25519 by the DataGrout Certificate Authority, asserting the plan is cycle-free, type-safe, policy-compliant, credential-complete, and deterministic.

A complete execution audit trail

Every tool call is authenticated, authorized, and logged with its cost and the identity that authorized it. Market conduct review can answer who touched the file, under which authority, against which system — and at what price.

Redaction before the model sees anything

PII auto-detection masks claimant names, addresses, dates of birth, and account numbers, with field-level strategies from scramble to fixed-length masking applied after execution and before the response reaches the agent.

Policy enforced at the infrastructure layer

Semantic guards validate every call before it reaches the upstream system. A violating call is rejected with a stated reason rather than silently passed through, and side-effect limits bound what any agent can do at all.

Budgets and loop detection as controls

Caps are enforced at call time, so a budget is a control rather than a report. Consequence-aware loop detection distinguishes a genuine retry from a spiral that is only burning credits on a claim queue.

Evidence that survives review

Cached results are encrypted at rest with AES-256-GCM and scoped to the user. Documents are version-tracked. The chain from claim intake to payment stays intact long after the run.

Deployment & Data Handling

Where It Runs and What It Touches

Built for environments where the answer to "where does the data go?" has to be specific.

On-premise and private cloud

Private Connectors reach on-premise policy admin and claims systems through outbound-only mTLS tunnels — no inbound firewall ports, each connector isolated and single-tenant, with VPN support for NetBird, WireGuard, and OpenVPN. Typical latency overhead is 10–30ms.

Your models, your keys

Bring your own model provider keys and pay your provider directly. DataGrout takes no markup on inference, and switching providers never means renegotiating the platform contract.

Least privilege by default

Side-effect controls are set per integration — none, read, write, or delete — and each agent identity is provisioned and revoked independently rather than sharing one privileged credential into the policy admin system.

An audit trail you can hand over

Execution history, signed certificates, and itemized receipts are retained as records an internal audit, market conduct, or regulatory function can review without asking engineering to reconstruct anything.

The Questions Your Compliance Team Will Ask

Straight answers, because these are the objections that stall the deal.

Also working in a neighbouring vertical?

The same deterministic core carries the same signed proof — into banking and finance, healthcare, and operations.

Bring Us Your Hardest Authority Requirement

Bring the control your examiner keeps asking about — a settlement threshold, a referral trigger, a licensed-state restriction. We will walk through what it looks like enforced at the infrastructure layer, signed, and logged.

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See real-time cost visibility, budget controls, and audit trails — tailored to your enterprise stack.

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