Make insurance legible to agents and the AI agents helping them.
insure.md turns fragmented insurance product research, carrier workflows, and paperwork-heavy execution into a clear, agentic operating layer. It is built for field insurance agents handling complex cases that cannot wait days for clean answers.
Agent prompt: “Evaluate a high-net-worth case. Shortlist likely product paths. Identify missing data. Prepare paperwork checklist. Show carrier workflow next steps.” insure.md output: - case brief - product lanes to explore - required forms/checklists - workflow steps - source-backed caveats - next questions for client
The real problem
Insurance distribution still runs on fragmented portals, tribal knowledge, PDFs, changing carrier rules, and back-office bottlenecks. For a field agent facing a sophisticated client case, the time between “interesting opportunity” and “credible action plan” is too long.
Research is scattered
Product facts, underwriting rules, forms, portal quirks, and submission steps live across disconnected systems and human memory.
Complex cases stall
High-net-worth planning cases often require narrowing options fast, but the agent loses time stitching together comparisons and operational next steps.
AI is only as good as its source layer
General-purpose AI can summarize noise, but without a trusted insurance workflow layer it cannot safely execute real insurance tasks.
The product thesis
insure.md is not just a content site. It is a machine-readable insurance workflow layer that helps agents and agentic systems move from case intake to informed next steps faster, with less operational drag.
What it does
- Normalizes complex client case inputs
- Narrows relevant life and annuity product paths
- Surfaces required forms, paperwork, and workflow steps
- Packages next actions for agents, back office, and AI copilots
Why it matters
- Shortens response time on high-value cases
- Reduces multi-party coordination friction
- Creates a source of truth that AI can actually use
- Turns insurance operations from opaque to legible
Built for human agents and AI agents
The future workflow is hybrid. A human field agent drives judgment and relationships. AI handles research synthesis, checklist generation, workflow compression, and repetitive back-office coordination. insure.md is designed to be the bridge.
For field agents
Get a faster path from client scenario to credible product shortlist and paperwork plan.
For back office
Standardize case preparation, submission support, and documentation workflows across carriers and product categories.
For agentic systems
Provide a curated skill layer so tools like OpenClaw can execute insurance-adjacent tasks with clearer instructions and fewer handoff failures.
The wedge is not “all insurance information.” The wedge is compressing the distance between a complex insurance case and the next correct operational move.
Near-term roadmap
Start narrow. Earn trust in a painful workflow. Expand only after reliability exists.
Phase 1
- Landing page and product framing
- Agentic skill documentation
- Core case brief workflow
- Manual curation for targeted life + annuity workflows
Phase 2
- Structured source citations and timestamps
- Carrier-specific workflow modules
- Checklist templates and packet generation
- Distribution into agent and back-office workflows