CognitiveBricks helps insurers automate claims triage, empower business users with governed text-to-SQL, and streamline underwriting—with compliance and audit built into every agent workflow.
Faster decisions with defensible AI, brick by brick.
Insurance operations stack
Policy & claims
PAS · CMS · FNOL
Underwriting & pricing
rules · models · submissions
Customer & agent
CRM · portals · comms
Data & analytics
warehouse · semantic · BI
Governance layer
PII · audit · model risk
90%
Text-to-SQL success rate for business users
10 min
Average governed query turnaround
$800K+
Typical annual productivity gains at scale
Carriers need agents that integrate with policy admin and claims systems—not copilots that bypass underwriting rules or mishandle PII.
Claims adjusters spend hours on repetitive triage while straight-through processing rates stay low
Business users wait days for IT-written SQL instead of self-serve analytics on governed data
Fraud signals are scattered across claims, SIU, and external data without unified agent reasoning
Regulatory filings and actuarial reports require manual assembly from disconnected sources
Model risk and fair-lending reviews lag behind rapid AI experimentation in the business
Industry solutions
Claims, underwriting, policy servicing, and data intelligence for insurers.
Straight-through processing with human oversight
Agents classify FNOL, extract evidence, check coverage, and route claims—escalating exceptions to adjusters with full context packages.
Higher STP rates and faster customer payouts.
Self-serve analytics for underwriting and actuarial teams
Natural language queries over governed semantic layers—agents generate SQL, enforce row-level security, and produce narrative reports.
90% query success; 10-minute average turnaround vs days.
Faster submissions with risk-aware copilots
Agents summarize submissions, flag gaps, and draft quotes within appetite rules—underwriters retain final authority on bind decisions.
Shorter quote cycles without weakening risk discipline.
Investigation assist with graph-enriched context
Connect claims, providers, and external signals—agents draft investigation plans and SIU referral packages for specialist review.
SIU focuses on confirmed leads, not manual triage.
Begin with text-to-SQL or claims triage on governed data, expand to underwriting and fraud with model risk sign-off.
Weeks 1–4
Weeks 3–8
Weeks 6–14
Parallel rollout
Book a strategy session with our architects to map your agentic AI roadmap, platform foundation, and first production use case.