Insurance product-directory and agent-execution observability
Insurers need to know which agents accessed terms, asked for quotes, initiated binds or abandoned regulated flows; observation does not reveal off-platform choices.
Executive question
What share of observed agent interactions leads to authorized quotes and bound policies?
What to measure
- Verified agent interactions
- Agent-originated quote/bind funnel
- API refusals by cause
- Observed vs inferred attribution
Relevant products and standards
A working draft, stewarded by Marrow, for how AI agents quote, compare and buy UK regulated insurance, with rules on consent, disclosures, data use and audit.
Measures how AI systems recommend brands at the decision point across multi-turn conversations, identifies where a brand is found but not chosen (the Linkage Gap), and remediates it.
Guidewire framework, launched in its Qusar release (Aug 2026), for insurers to build, deploy and manage AI agents with access to policy, claims and billing data.
Lets AI agents get insurance quotes and hand the purchase back to the insurer with the required disclosures. Production use is Marrow's own claim. Marrow also stewards the AMI draft standard.
Relevant examples, not documented integrations, completeness, certification or endorsement. Listed alphabetically.
Evidence and current limits
Strategic pathway; not an observed market-wide adoption rate.
Draft analysis, under editorial review.