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.
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.
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.
Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.
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.
We identify the repetitive document, email, approval, and software-handoff work costing the most time.
We map what can use public AI, what should stay private, and where approvals or client-controlled deployment are needed.
A practical first-workflow plan with proof, approvals, write-backs, audit logs, and ROI tracking.
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.