Governed AI agents for regulated operations
AI agents that do the document-heavy work in claims, underwriting and program operations. They run inside your own cloud, stop for a named person before anything consequential, and keep an audit trail a regulator can read.
Reads FNOL packets, medical records and loss documents. It extracts the facts, checks coverage and routes a complete file.
Adjuster approves before claimant contact or reserve change.Turns broker emails, ACORD forms and loss runs into structured, appetite-scored submissions.
Underwriter approves before any quote or decline.Answers from guidelines, policy forms and procedures, and cites the exact clause every time.
No citation, no answer.The same governed pattern for public-sector programs, manufacturing R&D and life-sciences operations.
One queue, one metric, one approver.
Build with gates and audit log. Run beside your team.
Harden, hand off, add the next queue.
Led the agent build on Azure AI Foundry, with retrieval over a 374,000-node ontology and models exposed as tools over MCP.
Led data and AI engineering for a 29-person joint team, entirely inside the customer's cloud.
Onboarded applications through Terraform and Argo CD GitOps. Automated secret rotation with HashiCorp Vault.
Multi-region Azure and AWS, least-privilege identity, and hardening that passed compliance audits.
Delivered through engagements with Microsoft, Cisco, AMC and The Standard. End-client names withheld under confidentiality. References on request.
541512Computer Systems Design (primary)541511Custom Computer Programming541519Other Computer Related Services518210Computing Infrastructure & HostingAnthropic Claude · Azure OpenAI · LangGraph · Azure AI Foundry · MCP · Azure AI Search · GraphRAG · Terraform · Kubernetes · Argo CD · HashiCorp Vault