Policy admin & product fabric
Policy administration, billing, endorsements, schedules, product rules, coverage forms, and broker context.
Insurance Agentic OS Control Plane
Turn insurance objectives into governed agent execution
VDF.AI sits above the insurance systems you already run and coordinates specialized agents for claims, underwriting, coverage, fraud, policyholder service, renewal retention, actuarial and regulatory reporting. No platform migration. No policyholder-data egress. Every action traceable to source.
7Insurance workflows across claims, underwriting, service & reporting
0Policy admin migrations required before rollout
100%On-premise or sovereign-cloud execution
EveryClaim, quote, report & message logged with evidence
Built for insurance control
EU AI Act GDPR Solvency II IDD DORA NAIC Model AI Human-in-the-loop
Insurance control plane
Intelligence in. Control plane. Execution out.
Policy admin systems, claims intake, underwriting data, fraud signals, customer history, regulatory feeds, and risk models stay where they are. VDF.AI reads the operating context, selects the right agents and tools, applies authority boundaries, and returns execution evidence.
Live governed execution
Insurance Agentic OS Control Plane
VDF.AI · insurance · model agnostic · sovereign cloud · any LLM · any stack
01 Intelligence in 02 Control plane 03 Agents & tools 04 Execution out
Intelligence in
Claims intake & evidence fabric
FNOL, photos, adjuster notes, repair estimates, invoices, medical documents, litigation files, and diaries.
Underwriting & pricing fabric
Submissions, broker emails, loss runs, inspections, risk appetite, actuarial assumptions, and pricing models.
Fraud & SIU signal fabric
Prior claims, provider patterns, repair networks, geospatial signals, anomaly flags, and investigator history.
Customer, regulator & risk fabric
Customer history, complaints, NPS, contact preferences, regulatory feeds, conduct rules, and risk models.
Objective intake
Set the loss, expense, CX, retention, or compliance target and define the line of business, SLA, and risk appetite.
Policy and autonomy gates
Apply role, data class, jurisdiction, human approval, model route, fairness, and escalation rules before execution.
Loss / CX goal to execution plan
The platform ranks actions by loss impact, customer friction, severity, fairness risk, SLA, evidence completeness, and required human approval before activating agents.
Claims resolution pod
Classify FNOL, read evidence, check coverage, draft adjuster summaries, and prepare policyholder updates.
Underwriting and risk pod
Summarize submissions, compare appetite, surface loss history, explain recommendations, and preserve authority.
Customer and renewal pod
Detect friction, score non-renewal risk, generate approved outreach, and brief agents before sensitive saves.
Regulatory and actuarial pod
Assemble reporting packs, monitor obligations, cite primary data, and route review tasks with sign-off evidence.
Execution evidence ledger
Objective, source, retrieval, tool call, model route, policy check, human approval, output, and disposition.
Loss and CX memory
Reusable fraud typologies, coverage positions, claim patterns, service risks, and underwriting lessons.
Execution out
Quotes issued
Submission context summarized, appetite checked, and quote support prepared.
Underwriting decisions
Recommendations carry evidence, policy context, and human approval status.
Claims resolved
Evidence assembled, coverage checked, adjusters briefed, and customer messages drafted.
Fraud flagged
Suspicious patterns correlated and SIU-ready summaries prepared.
Renewals retained
At-risk policyholders identified early and approved retention plays orchestrated.
Compliance reports
Solvency, conduct, model, and control documentation assembled from primary data.
CX improved
Policyholder friction detected, responses personalized, and service patterns fed back.
How insurance operations transform
From loss, expense, CX or compliance goal to governed execution
VDF.AI starts with measurable operating objectives, then activates the agents and tools needed to complete the work with policy, evidence, and approval controls intact.
Your insurance stack stays. The control plane sits above it.
Connect policy admin, claims, billing, underwriting, fraud, actuarial, CRM, and document platforms without migrating policyholder data or disrupting teams.
Zero rip-and-replaceState the operating objective. The platform builds the execution plan.
Reduce claims cycle time, improve quote throughput, raise fraud precision, retain profitable renewals, or assemble compliance packs from primary data.
Loss, expense, CX and compliance goalsAgents and tools activate inside defined authority.
Claims, underwriting, coverage, fraud, reporting, communications, and renewal agents call only approved tools with workflow-specific permissions and human approval gates.
Staged autonomy by line of businessEvery output creates evidence and learning.
The platform records sources, policy checks, model routes, approvals, and outcomes while feeding reusable loss patterns, service risks, and fraud typologies back into institutional memory.
Auditable at execution The Insurance Challenge
Insurers do not need more isolated copilots. They need an operating layer.
The value is not one assistant summarizing one claim file. It is coordinated execution across policy, claims, underwriting, fraud, service, actuarial and regulatory systems while preserving human accountability.
01
Fragmented Operating Context
Policy administration, claims, underwriting, billing, CRM, fraud, actuarial, and document systems each hold part of the answer. Teams stitch the context together by hand.
02
Regulated Judgement
Claims, coverage, underwriting, pricing, conduct, and renewal actions touch fairness, policyholder outcomes, and sensitive data. Automation needs different authority boundaries by workflow.
03
Claims and Service Load
FNOL intake, evidence review, coverage questions, customer updates, and renewal interventions consume capacity while policyholders expect faster, clearer answers.
04
Evidence After the Fact
Too much AI governance is documented after execution. Insurance AI needs decision evidence as work happens: source, policy wording, confidence, approval, output, and disposition.
The VDF AI Solution
An insurance control plane that governs agents by line, workflow, risk, and objective
No migration
Keep Guidewire, Duck Creek, Sapiens, Salesforce FSC, and the platforms around them
The agentic layer connects what already works.
VDF.AI connects to policy administration, claims, underwriting, billing, CRM, fraud, actuarial, document and reporting systems through governed tools. Data stays inside your insurer's environment; agents receive only the scoped access needed for the objective.
Core platform replacement is a multi-year bet. A governed agentic control plane can start with one workflow and expand across the operating model.
0
System Replacements Required
Control plane above existing insurance systems
Policy adminClaimsFraudActuarial
Objective engine
Start with the insurance outcome, not a disconnected automation task
The plan is ranked by loss impact, expense, risk, CX, and control evidence.
Examples of objective-first insurance execution:
- Claims: reduce FNOL-to-assignment time while preserving severity rationale and adjuster authority
- Underwriting: improve submission throughput while keeping bind decisions with authorized underwriters
- Fraud: raise SIU precision by correlating signals and preparing evidence-backed referrals
- Renewals: identify at-risk policyholders early and trigger approved retention interventions
- Reporting: assemble conduct, Solvency, model and actuarial packs from primary data with provenance
Goal
To Execution Plan
Loss · expense · CX · compliance
Ranked actionsPolicy checksEvidence path
Staged autonomy
Autonomy is governed by workflow, not assumed by platform
Each insurance process gets the boundary it deserves.
VDF.AI lets claims, underwriting, fraud, compliance, actuarial and service leaders define autonomy at the process level:
- Assistive: underwriting, coverage, suitability, and pricing-adjacent workflows stay with a named reviewer
- Delegated: FNOL triage, document extraction, claim summarization, and report assembly can execute under policy
- Autonomous: low-risk routing, missing-document requests, and approved renewal outreach can run within thresholds
- Escalated: severe losses, vulnerable customers, fraud signals, complaints, and policy ambiguity route to accountable teams
- Measured: each workflow reports cycle time, loss impact, exceptions, cost, and control evidence
HITL
By Workflow Type
Assistive · delegated · autonomous
Approval gatesThresholdsEscalations
Where it pays back
Insurance workflows ready for governed agents
VDF AI Agents & Tools
Improve insurance workflows with agent-tool networks
Each workflow combines a defined insurance agent pattern with the tools needed to read evidence, retrieve policy context, validate outputs, generate documents, and record the audit trail.
Delegated triage
Claims Triage & FNOL Network
Reads incoming notices, extracts facts, classifies severity, routes claims, and prepares adjuster summaries.
OCRRAGDocs
Explore workflow
Underwriter approved Underwriting Assistance Network
Summarizes submissions, loss runs, appetite rules, broker context, and risk rationale for human bind decisions.
CSVCitationsRAG
Explore workflow
SIU escalated Fraud Signal Review Network
Correlates anomalies, claims history, provider patterns, and policy context into investigator-ready briefs.
AnomalySourcesPDF
Explore workflow
Cited coverage answers Policy & Coverage Q&A Agent
Searches policy wordings, endorsements, schedules, and prior positions to answer coverage questions with citations.
RAGCitationsQuality
Explore workflow
Human-reviewed Policyholder Communications Agent
Drafts clear claim, service, renewal, and coverage messages grounded in the file and approved language.
DocsSentimentEmail
Explore workflow
Reviewer controlled Regulatory & Actuarial Reporting Agent
Assembles Solvency, conduct, model, and actuarial packs from primary data with provenance and sign-off trail.
PDFSourcesCSV
Explore workflow
Approved outreach Renewal Retention Network
Scores non-renewal risk, explains drivers, and orchestrates timely retention outreach before the renewal date.
SentimentEmailCSV
Explore workflow
Under the hood
Technical specifications for insurance agent execution
| Requirement | VDF AI Capability |
|---|---|
| On-premise deployment | Full on-premises, private-cloud, sovereign-cloud, or air-gapped deployment options |
| Data sovereignty | Models, embeddings, policyholder data, claims files, underwriting submissions, fraud cases, and actuarial data remain inside your sovereignty and residency perimeter |
| System posture | Overlay architecture above policy administration, claims, billing, underwriting, fraud, actuarial, CRM, document, and reporting systems |
| Special-category data | Health, financial, litigation, minors, and vulnerable-customer data processed locally with role-scoped retrieval and tool permissions |
| Private RAG | Policy wordings, endorsements, schedules, claims notes, underwriting manuals, loss-control reports, conduct rules, and regulator correspondence stay in governed vector indexes |
| Role-based access | RBAC-scoped agents, tools, knowledge, and workflows aligned to claims, underwriting, actuarial, fraud, service, and compliance segregation of duties |
| Model routing | Policy-aware routing by task sensitivity, data class, line of business, confidence need, latency, cost, and approved model inventory |
| Autonomy controls | Assistive, delegated, autonomous, and escalated modes configured per claim type, line, threshold, role, and approval policy |
| Audit logs | Immutable logs for objective, source data, retrieval, tool calls, model route, policy checks, approval, output, and disposition |
| Integration examples | Guidewire, Duck Creek, Sapiens, Salesforce FSC, claims platforms, broker portals, actuarial models, SIU case tools, policy document stores, CRM, and regulatory reporting systems |
| Encryption | At-rest and in-transit, customer-managed keys |
| Authentication | SSO, LDAP, Active Directory, MFA |
| Uptime SLA | 99.9% (Enterprise tier) |
ROI Snapshot
What changes after rollout
Hours
FNOL, evidence and coverage context assembled before adjuster review
Fewer
Low-value fraud reviews through richer SIU signal preparation
Trace
Every source, policy check, model route, approval, output and outcome
Lift
Renewal retention and customer experience with explained drivers and approved outreach
FAQ
Questions insurance teams ask
Does VDF.AI replace Guidewire, Duck Creek, Sapiens, or our policy administration systems?
No. VDF.AI sits above policy administration, claims, billing, underwriting, CRM, fraud, actuarial, and document systems as an agentic control plane. The insurer keeps its systems of record, data residency, approval policies, and operating teams. VDF.AI coordinates the work across them.
How does VDF.AI keep insurance decisions explainable?
Every run records the objective, policyholder context used, policy wording retrieved, tools called, model route, confidence checks, human approvals, generated outputs, and final disposition. Claims, underwriting, fraud, and regulatory teams get evidence at the moment work happens, not after-the-fact reconstruction.
Can autonomy be different for claims, underwriting, fraud, renewals, and service?
Yes. VDF.AI supports staged autonomy by workflow. Claims triage and document extraction can be delegated with exception routing, underwriting recommendations can remain assistive with human sign-off, fraud flags can escalate to SIU, and renewal outreach can run within approved templates and consent rules.
Can VDF.AI accelerate claims processing without sending data to a third party?
Yes. Common deployments include first-notice-of-loss triage, claims document extraction, coverage checking against policy wording, fraud-signal summarisation, and drafting policyholder communications. Each agent runs inside a governed, on-premise workspace with full audit trails — so you get faster cycle times and lower loss-adjustment expense without exposing claims files or PII to an external API.
Build the insurance control plane above the systems you already trust
Start with one objective: claims, underwriting, fraud, coverage, renewal retention, policyholder communications, or regulatory reporting.