GA school-bus, $5M policy-limits demand — tender recommended
Plaintiff counsel has 3 priors, all settled within window. Decline risk: ~$3M extracontractual.
Bitligence for Insurance · P&C claims
Atlas handles inbound FNOL calls. Praxis runs the claim file after intake. Every decision arrives in your adjuster’s inbox with the recommendation, the priors, the confidence score, and the audit trail — and every action passes the same governance gate as the rest of Bitligence.
Live product · Assurance Observatory — agents runtime
Both are agentic services that read claim state through your API, reason over it, and write decisions, reserves, and tasks back through the same path. Your platform stays the system of record.
Atlas answers inbound FNOL calls and captures a structured claim file during the call — submitting it to your core system before the caller hangs up.
Praxis consumes claim events, runs the file-handling functions per event, scores every surfaced decision, and writes decisions back through your API.
Atlas answers, captures every field while the caller talks, verifies the policy mid-conversation, and hands a complete claim file to Praxis — no callback. The call below plays a representative intake.
Sample transcript plays here — Atlas captures the loss notice as the conversation happens.
Praxis surfaces every decision that needs a human — scored on five weighted axes, with the recommendation drafted, the cost of waiting quantified, and the trace attached. Your adjuster decides; the audit log records.
Plaintiff counsel has 3 priors, all settled within window. Decline risk: ~$3M extracontractual.
Standard rear-end / clear liability. TX-DOI compliant template populated. One-tap send.
Same claimant, same loss type, 3 different insureds in 18 months. Pattern score 0.84.
breaches-today · time-bounded · async · historical
bad-faith · statutory · SIU · litigation · reserve · routine
irreversible · effortful · easy · done
unknown · sub-agent · external · known
authorization · escalation · anomaly · confirmation
Day one, every decision flows through the inbox. The system tracks where the agents and the adjuster agree, on which categories, with what confidence. When agreement crosses ≥95% over ≥20 samples, it surfaces the rule. Your adjuster approves it once — and that category stops hitting the inbox.
The rule graduates into a signed, versioned policy (shadow first, then active on promotion). Over time the inbox holds only novel or high-stakes work, and your adjuster’s time shifts from approving claims to approving the rules that govern categories of them.
Every agent recommendation and adjuster decision is recorded with confidence and reason.
Agreement is tracked per category — ≥95% over ≥20 samples surfaces a candidate rule.
One signed attestation promotes the rule to a versioned policy; the category leaves the inbox.
Policies run in shadow first (log, don’t block), then enforce on promotion — ~8ms in the path.
Atlas and Praxis integrate with Guidewire ClaimCenter, Duck Creek Claims, or a homegrown core. Your platform stays the system of record; the agents read claim state through your API and write decisions, reserves, and tasks back through the same path.
Read claim state and write back through the standard integration path.
Same read/reason/write loop against your existing configuration.
Any system with an API — the agents adapt to your model, not the reverse.
Run in your cloud, VPC, on-prem, or air-gapped. Data never leaves your perimeter.
Governance + third-party oversight in the default config.
External-data documentation + disparate-impact analysis in the audit trail.
Fairness-testing patterns applied across personal and commercial lines.
Your data, your numbers, one page — back to you in 48 hours, with a 30-minute call after.