Industries / Insurance
AI for insurance, on one connected platform.
Policy documents, claims records and correspondence connected into one workflow across underwriting and policy operations, with an audit trail on every change.
What we built for insurance. A full-stack AI platform for an insurance broker.
Connected data
Structured and unstructured insurance data brought into one system, replacing siloed tools.
Underwriting and policy workflows
Faster, structured workflows across underwriting and policy operations.
Access and audit trail
Role-based access, with an audit trail on every record change.
What else we can build for insurance. Capabilities we offer. We have not delivered these in this industry yet.
Claims intake
Claims documents read and structured, with exceptions routed to handlers.
Submission triage
Incoming submissions classified and prioritised for underwriters.
Policy document checks
Policy wording compared against templates, with differences flagged.
Customer and broker assistants
Answers to routine policy questions, with a handover to staff.
Fraud flags for review
Unusual claims flagged with the reasons, for investigators to review and decide.
Quote and renewal support
Submission data pulled into one file, so quotes and renewals start from a complete picture.
Broker and agency tools
Policy, commission and correspondence data in one view for agents.
Regulatory reporting
Evidence gathered and reports drafted for your compliance team, with attention to NAIC requirements.
Match the autonomy to the task. Routine data work can run with supervision. Decisions stay with people.
- L1WorkflowA fixed, auditable path.
- L2AssistantAI drafts. A person reviews.
- L3Supervised agentAI acts and flags exceptions.
- L4AutonomousRoutine, low-risk, monitored.
- Human-ledPeople decideAI supports the analysis.
Data ingestion and matching
A fixed, auditable workflow, with AI reading the documents.
L1 WorkflowClaims processing
A governed workflow, with an agent flagging exceptions.
L1 WorkflowL3 Supervised agentUnderwriting and settlement decisions
Stay with people. AI prepares the information.
Human-led
Our insurance work, and related systems. Each result comes from a delivered engagement.
Full-stack AI platform for insurance
Fragmented policy, claims and correspondence data connected into one structured workflow.
~2.5x faster processing AI · Document intelligenceAI document intelligence
Extraction and classification that sends only the exceptions to people.
>80% less manual review AI · Agent platformsAI agent platform
Agents retrieve, reason and act across systems, with human approval before high-stakes actions.
~40% less manual effortIs insurance data spread across tools that do not talk to each other?
The technology behind our insurance platform. Built around connecting policy, claims and correspondence data, with access control on every record.
Generative AI and large language models
Models, chosen per task
- OpenAI
- Anthropic Claude
- Google Gemini
- LangChain
Natural language processing
Understanding text
- Text classification
- Named entity recognition
- Text summarization
- Embeddings
Computer vision
Understanding images and video
- OCR
Data engineering and processing
Moving and preparing data
- Apache Kafka
- Apache Airflow
- Pandas
- dbt
Databases and data storage
Where the data lives
- PostgreSQL
- Microsoft SQL Server
- Elasticsearch
- Snowflake
Backend development
Services and business logic
- Node.js
- Django
- FastAPI
- .NET
AI integration and APIs
Connecting to your systems
- REST APIs
- Webhooks
- Microservices
- SDK integrations
Cloud and AI infrastructure
Where it runs
- AWS
- Microsoft Azure
- Google Cloud
Used in our delivered platforms
From scattered policy data to one workflow. Four stages, with your operations team reviewing a working version at each one.
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Discovery
Map the current workflow, the systems and data involved, and what good looks like.
Discovery notes
- The systems and documents involved
- Where reconciliation happens today
- Access and audit rules
-
Scope & architecture
Agree how policy, claims and correspondence data connect, and who can see and change each record.
Solution design
- Platform architecture
- Access and audit design
- Success measures
-
Build
Build on real policy and claims data, with your operations team reviewing each milestone.
Working build
- Working platform on real data
- Team review
- Quality checks
-
Ship & support
Roll out with role-based access, an audit trail on record changes, monitoring and a defined support window.
Production rollout
- Production rollout
- Monitoring
- Support window
Why Avinya for insurance. We have connected insurance data in production.
Delivered for a broker
A connected platform for an insurance broker, with about 2.5x faster processing.
Decisions stay with people
Underwriting and settlement decisions stay with your team. The platform prepares the information.
Every change tracked
Role-based access, with an audit trail on every record change.
Support after go-live
Data quality, access rules and workflows are tuned after launch, with a defined support window.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A team that keeps extending the platform as products, lines of business and systems change.
Project-based
A defined scope for one workflow, such as claims intake or submission triage, with milestones and a delivery date.
Consulting & advisory
Advice on data, access and audit design before you commit to a build.
What our clients say.
“Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.”
“We needed a platform that could handle complex construction workflows without breaking down every week. Avinya Labs delivered exactly that.”
“Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.”
AI for insurance FAQs.
What did you build for an insurance broker?
A full-stack AI platform that connects policy documents, claims records and correspondence into one workflow, with about 2.5x faster processing.
Is every change tracked?
Yes. The platform has role-based access and an audit trail on every record change.
Does AI make underwriting decisions?
No. It connects and prepares the information. Underwriting and settlement decisions stay with people.
How is AI used in insurance?
Mainly to take the reading and data entry out of operations: claims intake, submission triage for underwriters, policy wording checks, connecting data across systems, and assistants for routine policy questions. Underwriting and settlement decisions stay with people.
Where should an insurer or broker start?
With one workflow where the documents already exist, such as claims intake or submission triage. We map the data and the handoffs, agree what a good result looks like, and build a working version your team can review.
How is policyholder data protected?
Access is scoped by role and every record change is logged. Personal data handling, where data is stored and which models can see it are agreed with you during discovery.
Are you familiar with insurance standards?
Yes. We are familiar with ACORD data standards and NAIC requirements, and we design the platform around the ones that apply to you. Your compliance team confirms what applies.
How long does an insurance AI project take?
A prototype on a sample of your policy and claims data takes about 6 to 9 weeks, and a first version your team can use about 8 to 12 weeks. Production, with access rules and an audit trail, typically takes 3 to 5 months.
Can we sign an NDA first?
Policy and claims data is sensitive. Yes. We can sign an NDA before you share anything, and we agree ownership of the work in the contract before the work starts.