We build private, auditable workflows that extract claim data, retrieve policy context, prepare next actions, and write updates back to agency systems with proof and human approval.
Claim details arrive through emails, forms, PDFs, and attachments before anyone can apply judgment.
Adjusters and account managers spend too much time preparing files before they can use their expertise.
PII, policy details, and financial records need careful handling, not public chatbot workflows.
Industry document automation research lists policy applications, inspection reports, claims forms, repair estimates, medical records, police reports, and settlement letters as common insurance documents.
Insurance document automation research highlights inconsistent layouts, scans, photos, faxes, handwriting, and multilingual content across auto, life, P&C, and commercial lines.
Industry document automation research emphasizes traceable outputs, claims processing, underwriting, and subrogation, which maps directly to evidence-backed review and exception routing.
Extracts details from emails and forms so claim files get set up faster.
Pulls relevant policy language for human review and flags areas that need attention.
Converts messy PDFs into structured data for faster quoting and analysis.
Organizes title, lien, settlement, repair, and correspondence evidence into reviewer-ready case files.
Flags missing details, urgent claims, and coverage questions so the right person reviews first.
Staff manually read claims emails, ACORD forms, loss runs, and policy documents before routing work to the right reviewer.
The workflow extracts claim and policy facts, links source evidence, flags exceptions, and prepares approved updates for agency systems.
Private workflows can use hosted private-cloud inference, dedicated cloud or VPC deployment, or local/on-prem inference when claimant or policy data cannot leave your environment.
Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.
Every result can include source evidence, approval status, exception notes, and write-back history for a clearer audit trail.
We choose one claims, renewal, or loss-run workflow with clear volume and business value.
We configure extraction, source evidence, human review, and safe write-back boundaries.
You see turnaround time, manual steps removed, review quality, and the roadmap for the next workflow.
Founder, Performance AI Lab | Former Meta SuperIntelligence Lab
With 25 years in software engineering and enterprise infrastructure, I've built systems for some of the world's most demanding environments. I founded Performance AI Lab to bring private, auditable AI workflows that reduce manual work and preserve operating know-how to mid-market operators.
If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.
Private AI workflows for the work that falls between your documents, apps, approvals, and operating knowledge.