Private AI for insurance claims teams
Summarize claim files, search policy language, organize evidence, and prepare adjuster notes while keeping sensitive insured data under your control.
Claims administrators, carriers, TPAs, adjuster teams, and risk operations groups.
Built for claims file access controls, policy citations, reviewer checkpoints, and logs that support internal QA.
Assistance stays accountable.
Built for claims file access controls, policy citations, reviewer checkpoints, and logs that support internal QA.
The reviewer owns the decision
Sotaire supports research, analysis, drafting, and triage. Authorized professionals remain accountable for the final work.
Answers depend on approved sources
Citations make the source trail visible; missing, stale, or inaccessible material still requires human judgment.
Tools stay within configured scope
Repositories, integrations, and actions are enabled for the deployment rather than assumed to be universally available.
High-value work, kept inside the boundary.
These workflows are tuned for claims administrators, carriers, tpas, adjuster teams, and risk operations groups.
Condense long file histories into timelines, open issues, missing items, and reviewer notes.
Find relevant policy language, exclusions, endorsements, and internal handling rules.
Group documents, correspondence, and photos into claim-specific context for adjuster review.
Prepare draft explanations and escalation summaries for human review.
From controlled knowledge to reviewed output.
The deployment rhythm stays consistent: scope the data, retrieve with evidence, and route consequential work through the accountable people.
Scope users, agents, and documents around claims, lines of business, and supervisory rules.
Answer operational questions from policy documents and approved internal procedures.
Route consequential notes or recommendations to the right reviewer before use.
Built around the systems your team already trusts.
Sotaire connects approved repositories, templates, exports, and policy sources while preserving the local network boundary.
One customer environment per deployment.
Answers come from approved local sources.
Only explicit external paths are allowed.
Prompts, sources, and approvals stay auditable.
Questions before scoping.
A few practical answers for teams deciding whether private AI belongs inside their workflow.
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View solutionScope a private AI deployment for insurance.
Tell us about your data, workflow, access model, and review requirements. We will map the right local deployment.
Bring the workflow, the sensitive sources, and the review rules. We'll map the deployment boundary and next step.