Submission intake and claims integration for a US commercial insurer

The problem

Submissions arrived as emails and PDFs. Underwriters spent their hours re-keying data into the policy-administration system, rating APIs and CRM instead of selecting risk.

What we built

An integration layer that ingests each ACORD submission and email attachment, reads and validates the content with AI document extraction, and synchronizes it across the policy-administration system, rating APIs and CRM.

What we owned in production

Extraction accuracy tracked against an evaluation set. Exceptions routed to a human reviewer. Every record logged.

Scope

Integration architecture and development, AI document-extraction pipeline, evaluation and guardrails, staging and production rollout.

Client name withheld under NDA.

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GOOD TO KNOW

Frequently asked questions

What is the Submission intake and claims integration for a US commercial insurer project?

An event-driven layer that turns inbound ACORD submissions and attachments into underwriter-ready data instead of PDFs to re-key.

More selected work

What problem did this work address?

Submissions arrived as emails and PDFs. Underwriters spent their hours re-keying data into the policy-administration system, rating APIs and CRM instead of selecting risk.

What did Digital Gateway build?

An integration layer that ingests each ACORD submission and email attachment, reads and validates the content with AI document extraction, and synchronizes it across the policy-administration system, rating APIs and CRM.

What was included in the delivery scope?

Integration architecture and development, AI document-extraction pipeline, evaluation and guardrails, staging and production rollout.

Which sector was this project in?

The case is categorized under insurance.

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Which technologies are named in the case?

The published stack lists .NET Core microservices, REST / gRPC, RabbitMQ, Azure AI Document Intelligence, Python, Databricks / Spark, PostgreSQL, MS SQL, ACORD / EDI, carrier and rater APIs, Docker, Kubernetes, Azure DevOps CI/CD.

What team is listed for the project?

The published case lists PM, solution architect, 2 back-end engineers, data / AI engineer, QA.

How delivery works

How was the system deployed or operated?

Client's private Azure tenant, VNet-isolated and region-locked; models called in-region so no data leaves their environment.

Is the client identified by name?

The case describes the client as Commercial insurer, United States. The public case withholds the client name under NDA.

Which Digital Gateway services relate to this work?

This case is tagged to Document AI and data pipelines and Platform and integration engineering.

Document AI and data pipelines Platform and integration engineering

Can Digital Gateway help with a similar requirement?

Yes. Share the intended outcome, existing systems, constraints and operating requirements so we can discuss a suitable delivery scope.

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