Private AI for insurance and claims

Prepare claim files faster without exposing claimant data to public AI tools.

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.

Reduce Claims Intake Work

Where the work gets stuck

Messy intake documents

Claim details arrive through emails, forms, PDFs, and attachments before anyone can apply judgment.

Policy language is slow to find

Adjusters and account managers spend too much time preparing files before they can use their expertise.

Claimant data must stay controlled

PII, policy details, and financial records need careful handling, not public chatbot workflows.

First workflows worth automating

Claims intake assistant

Extracts details from emails and forms so claim files get set up faster.

Coverage review prep

Pulls relevant policy language for human review and flags areas that need attention.

Loss run parser

Converts messy PDFs into structured data for faster quoting and analysis.

Built for proof, privacy, and predictable cost

Private data boundaries

Private workflows can run inside your AWS or GCP environment. Claimant data, policy review habits, carrier knowledge, account history, and exception handling stay under your control.

Predictable AI costs

Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.

Preserve your operating know-how

You own the workflow and operating logic. As competitors adopt generic AI, your claims handling process, coverage review habits, and carrier knowledge become a private advantage they cannot copy.

What we identify in the AI Strategy Chat

1. Ranked workflow opportunities

We identify the repetitive document, email, approval, and software-handoff work costing the most time.

2. Privacy and data-control plan

We map what can use public AI, what should stay private, and where approvals or client-controlled deployment are needed.

3. First workflow plan

A practical first-workflow plan with proof, approvals, write-backs, audit logs, and ROI tracking.

Armen Donigian, founder of Performance AI Lab

Armen Donigian

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.

Frequently Asked Questions

Find the first insurance workflow worth automating.

If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.

Book a Free AI Strategy Chat
Performance AI Lab

Private AI workflows for the work that falls between your documents, apps, approvals, and operating knowledge.

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