Sunlight Solutions embeds AI into underwriting and claims workflows

By AI, Created 5:45 PM UTC, May 21, 2026, /AGP/ – Sunlight Solutions says it is embedding intelligent automation directly into core insurance systems to speed underwriting and claims work for insurers and MGAs. The approach is aimed at cutting manual data entry, reducing rework and improving decision speed in high-volume operations.

Why it matters: - Insurers and MGAs still spend heavily on manual document handling, data re-entry and triage in underwriting and claims. - Embedding AI inside core workflows can reduce handoffs, speed decisions and improve consistency across operations. - Sunlight Solutions is positioning its platform as an alternative to standalone AI tools that still leave teams doing manual work.

What happened: - Sunlight Solutions said May 21, 2026, that it is embedding intelligent automation into underwriting and claims workflows. - The company said the goal is to help insurers and MGAs move beyond manual processing and disconnected AI tools. - Sunlight Solutions said document processing now happens directly within the core system where underwriting and claims decisions are made.

The details: - Submission intake data can be ingested from emails, forms and supporting documents in different formats. - Submissions are converted into structured data, including insured details, coverages and exposures. - Each submission is evaluated for completeness and confidence. - High-confidence submissions can move forward automatically. - Low-confidence data is flagged for review. - Filtering tools are designed to keep non-actionable work out of underwriting queues. - In production, the company said this has lowered triage effort and supported higher submission volumes without adding headcount. - Structured submission data is evaluated against underwriting guidelines. - Risks can be categorized as in appetite, out of appetite or requiring referral. - Sunlight Solutions said this keeps intake, structuring and evaluation in one system instead of moving data across disconnected tools. - In production, insurers have shortened decision timelines by up to 50% while improving consistency and capacity, according to the company. - Claims intake is also handled inside the workflow. - FNOL records can be created and pre-filled automatically. - Human-in-the-loop validation focuses staff on exceptions instead of every document. - In one production use case, an MGA administering accident insurance reduced manual processing effort by 75%. - The same MGA reached about 90% accuracy at initial deployment. - Implementation in that case took six weeks.

Between the lines: - The release frames workflow integration as the real differentiator, not just document extraction. - That matters because standalone AI can speed up a task but still leave teams with manual upload, review and re-entry steps. - Sunlight Solutions is arguing that the biggest gains come when structured data is created once and reused across underwriting and claims.

What’s next: - Sunlight Solutions is pushing insurers toward broader workflow automation as they scale. - The company expects its embedded approach to support faster decision-making, lower manual workload and more consistent downstream processing. - Sunlight Solutions continues to market its platform to insurers, MGAs and brokers as a way to unify policy, claims and operational workflows.

The bottom line: - Sunlight Solutions is betting that AI works best when it sits inside the insurance system of record, not beside it.