60 Seconds to Fraud-Free Audit-Ready Claims.
The Governed Intelligent Anti-Fraud Operative System
The Governed Intelligent Anti-Fraud Operative System
Platform
Specialist agents run intake, coverage, fraud, compliance, and comms in parallel. The orchestrator surfaces a decision packet with evidence, policy support, and approval gates — all in one mission-control view.
Specialist agents
6 lanes · run in parallel
10 specialist agents run in parallel, each with a defined role and structured output.
Decision packets carry policy citations, evidence trails, and gate verdicts forward.
Every decision, override, and approval lands in a signed audit trail.
Why insurers switch
Every stakeholder in the buying committee needs a different answer. Here's what Grivara means for each of them.
VP Claims
Route FNOLs faster, surface severity earlier, and give adjusters their judgment time back. The backlog shrinks because the manual work disappears.
Primary buyer · Head of Claims
SIU / Fraud
Graph-based entity analysis connects claimants, providers, and timing patterns across your book. Uncertainty-aware escalation means SIU reviews the claims worth reviewing.
Champion · SIU Lead
Compliance / Legal
Denials, SIU referrals, and reserve changes come with policy citations, supporting evidence, and human approval on record. Built for the regulator who asks 'show me how you decided.'
Gatekeeper · Compliance & Legal
COO / CIO
Grivara connects to your existing claims, policy, CRM, and event systems. Stand up a tenant, run a sample claim, and expand only when you're ready.
Economic buyer · COO / CIO
Grivara Fraud Ontology
The Ontology is Grivara's model of the fraud world — every claim, claimant, provider, vehicle, address, and the links between them. Four specialist detectors read from it. A fusion layer scores against it. A governance layer writes every decision back to it, with full provenance. Rules see fields. Copilots see text. Grivara sees the whole graph.
Open the architectureProof
Faster claims handling matters. What closes serious buyers is seeing that speed come with specialist depth, governance gates, and evidence trails that hold up under scrutiny.
10
Specialist agents
Every claim runs through 10 specialist agents in parallel — intake, coverage, fraud, compliance, comms, and orchestration. Not a single generalist model.
4
Fraud layers fused
Graph collusion, tabular risk, multimodal evidence, and adversarial stress testing — fused with calibrated uncertainty. Not one brittle score.
6
Governance gates
Reserve authority, SIU referral, auto-deny, human review, escalation, and SLA thresholds keep consequential decisions behind human approval.
51
Audit-ready decision fields
Every recommendation breaks into 51 structured fields — so regulators, legal, and reviewers see how a decision was made, not just the answer.
<60s
Intake → decision packet
Documents become a structured decision packet with policy citations, evidence trails, and reasoning before the file reaches an adjuster queue.
27
Core system integrations
Grivara connects to your claims, policy, CRM, graph, and event systems. It slots in without replacing what you already run.
Getting started
Stand up a tenant, ingest a policy, run a sample claim, and see the full decision packet — without touching your core systems.
Drop a policy PDF. Grivara detects line of business and jurisdiction, then ingests it into a tenant-scoped policy runtime.
Set reserve authority, HITL thresholds, and SIU auto-refer scores — or accept the defaults and tune later.
Submit an FNOL and watch specialist agents produce a decision packet with policy citations, evidence, and approval gates in real time.
Promote the governed workflow to the team under the most pressure. Expand into broader claims, fraud, and compliance when you're ready.
Ready to run your own policy through this?
Bring a policy PDF and a sample FNOL. We'll run the full pipeline with you in under an hour.
Field notes
Deep-dives on fraud graphs, adversarial testing, and the workflows that actually land with SIU leads.
Why we're building an AI claims command center — and what we'll write about here.
Generative AI made fabricated evidence cheap, and rule-based defenses built for the pre-AI era can't keep up. Here's what broke and how Grivara closes the gap.
Every component available in MDX posts, with usage examples.
We'll walk through one claim end-to-end, show every approval gate, and map Grivara to your current stack. 15 minutes. Your data.