Agentic Index
The best AI agents for insurance in 2026
Agentic Index tracks 77 AI agents for insurance: 12 built for the industry and 65 broader platforms that also serve it. Appian, Weav.ai, and careCycle document the broadest capabilities among the specialists. 13 of the 77 researched vendors publish their prices, and 64 sell by quote through a sales team.
AI agents for insurance take on the document heavy work of carriers, agencies and brokers. They take in claims and first notices of loss, read submissions for underwriters, answer policyholder questions, and handle renewals and service requests by phone, email and chat.
Some products are built for insurance alone and know its forms and workflows. Others are general platforms with insurance customers. They differ in which line of work they cover, and in how they keep a licensed person in the decisions that require one.
Researched from public sources on the same 14 capabilities. No vendor pays for placement. How this list works
Where to start: 10 of 12 built for insurance
Latest verified research: 2026-11-09
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1AAppianPriced by quote
Connected Claims agents classify claim documents, pull data from emails and PDFs, retrieve the policy from the data fabric and assign each case, triaging intake around the clock. Connected Underwriting reads unstructured files such as medical records to support risk review, and the process engine routes each decision to an adjuster or underwriter.
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2WWeav.aiPriced by quote
SoV Analysis and Loss Run Analysis read a commercial submission, and the Agentic Decision Engine weighs the risk against the carrier's own guidelines and recommends a next best action for the underwriter to approve. It plugs into Guidewire through prebuilt connectors and can run in the carrier's private cloud or fully on premises.
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3ccareCyclePriced by quote
The Sales Suite prequalifies Medicare and ACA leads and warm transfers high intent callers to licensed agents, while Retention Suite campaigns place welcome and plan review calls after enrollment. Cora, the receptionist, checks a member's coverage against careCycle's own Medicare Advantage plan data before it books, transfers or logs the call.
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4MMarvelXPriced by quote
Claims agents read the whole case, from policy PDFs and damage photos to handwritten forms, check coverage, screen for fraud and reach a settlement position that cites its sources. Each case is held to rules the insurer writes, uncertain ones go to a specialist, and the decision is written back into the claims system.
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5FFurtherAIPriced by quote
A multi agent system takes a submission from intake through SOV mapping, guideline and authority checks and policy comparison, preparing each file the way an underwriting assistant would. The underwriter gets the recommendation with its reasoning laid out, and connectors write the structured data back into the existing underwriting and claims systems.
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6LLiberatePriced by quote
Nicole answers every inbound call, verifies the caller and files first notice of loss claims straight into Guidewire, Duck Creek or Applied Epic, then chases missing documents and runs renewal outreach. Complex cases reach an adjuster or producer by warm transfer with the context attached, and every interaction keeps a transcript and audit trail.
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7PPasitoPriced by quote
Extraction agents read plan documents, contracts, broker proposals and census files and turn them into one normalized record of each group benefits plan, and proposal comparison lines up RFP responses side by side. From that record Pasito generates benefits guides, enrollment campaigns and a white labeled assistant that answers members from the plan documents.
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8MMastery AIPriced by quote
Underwriting agents pick up broker submissions as they land in Outlook, extract the PDF and DOCX files and run underwriting in sequential and parallel stages, then draft negotiations, renewals and adjuster ready claims summaries. Manual gates at negotiation, peer review and renewal hold each step until a person approves.
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9AAskEarthPriced by quote
GIA returns a property risk profile before a quote, covering roof condition, footprint mismatch, tree overhang and pools from satellite imagery, with every answer traced to its source. After a hailstorm it builds a before and after evidence pack for each insured address within 48 hours from imagery and disaster perimeters.
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10PPeppercornAIPriced by quote
Pipr lets policyholders get a quote, buy cover and adjust a policy in one conversation, running pre sale underwriting with clarifying questions and optional fraud checks before anything is bound. It sits on top of the insurer's policy administration system, keeps audit trails for FCA Consumer Duty and hands over to a person when needed.
Broader platforms that also cover insurance
These 65 vendors sell a wider product and name work for insurance as one of its uses. They suit a company that already runs on the platform or wants one agent layer across several teams.
- CCamunda
- An insurer's claims agent runs as an AI Agent sub process inside the claims process, using service calls and user tasks as governed tools that all show in Operate. Camunda Process Test runs it against mocked tools before a new prompt ships and fails the build when a judge model rejects the answer.
- FFLOWX.AI
- The catalog holds 69 insurance agents, including a claims stack that runs on top of the insurer's legacy systems rather than replacing them. When a carrier portal has no API, the Browser Automation node fills its forms from a plain language task and logs every step with a screenshot.
- DDynamiq
- Claims agents take first notice of loss and review the supporting documents, then leave the decision to an adjuster at an approval node. Insurers can run the whole workflow on their own OpenShift or Kubernetes cluster, with open models kept inside their boundary for personal data.
- UUiPath
- AI agents triage first notice of loss submissions, classify partial or total loss against policy coverage and start straightforward payments, sending complex cases to adjusters with the full evidence package. For underwriting, agents extract broker submission terms and compare them with prior coverage and market benchmarks in a briefing for the underwriter.
- FFlowable
- A claims case runs from first notice of loss to resolution with document agents classifying files and extracting data, while a guardrail agent strips personal data before any model call. In underwriting, agents check broker quote data and the case pauses for an underwriter at set thresholds before the policy is issued.
- OOdin AI
- Claims agents ingest claim documents, validate policy coverage and classify each request type, working alongside Guidewire or Duck Creek. Adjudication and settlement approval stay with claims handlers, and each run keeps per step logs for audit.
Picks by what you need most
- Best for complex multi step work
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AAppian
Documents the most on orchestration, memory, and knowledge grounding among the specialists.
- Best for regulated and governed deployments
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MMarvelX
Documents the most on security, auditability, and human oversight among the specialists.
- Best for developer extensibility
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ccareCycle
Documents the most on APIs, MCP support, and tool calling among the specialists.
- Best for fastest time to value
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PPasito
Documents the most on prebuilt packs and channel coverage among the specialists.
How they charge
Where they run
The rest run as a cloud service operated by the vendor.
What to check before a shortlist
- Which part of the business it covers
- Claims, underwriting, distribution and service are different jobs. Most products are strong in one. Check the fit against the work that needs help.
- Who decides
- Coverage and claim decisions carry regulatory weight. Look at where the agent recommends and where a licensed person decides.
- Which core systems it works with
- The agent has to read and write to the policy administration and claims systems. Check for connections to the ones in use.
- The record it keeps
- Regulators and auditors ask how a decision was reached. Look for a log of what the agent read, what it did and who approved it.
Head to head
All 77 AI agents for insurance
Decagon
Lorikeet
Maisa
SierraCommon questions
- What are the best AI agents for insurance?
- Appian, Weav.ai, and careCycle lead the 12 products built for insurance tracked by Agentic Index, and Camunda, FLOWX.AI, and Dynamiq lead the 65 broader platforms that also cover it. The list is ordered by how many of the same 14 capabilities each vendor documents in public sources, and no vendor pays for placement.
- How much do AI agents for insurance cost?
- 13 of the 77 researched vendors publish their prices, so a team can see plans and start without a sales call. 64 sell by quote through a sales team. Each vendor profile on Agentic Index lists the pricing model and any published prices.
- Can AI agents for insurance run in a private cloud or on premises?
- Most run as a cloud service. 25 of the 77 researched vendors document a private cloud option and 36 document an on premises or self hosted option.
- How many AI agents for insurance are there?
- Agentic Index tracks 77 AI agents for insurance. Every one is researched from public sources and listed on this page.
How this list works. A vendor is on this page when its product is built for insurance, either as its main category in the index or as a job its own materials name. The order is the number of the 14 Agentic Index capabilities each vendor documents in public sources, with full support counting more than partial support and ties broken alphabetically. The picks, the pricing counts and the deployment counts are computed from the same records. No vendor pays for placement.