Atlas AI

AI that knows what an endorsement is.

Atlas AI is trained on — and deployed inside — the operational reality of P&C insurance. Not a chatbot bolted to the side of a core system. A capability woven through the work.

2023
Launched
Quarterly
Release cadence
AI that augments Atlas
Licensing Plans
Philosophy

AI as the fabric — not a feature.

01
Trained on P&C operational reality
Thirty years of policy, billing, and claims data. Atlas AI knows what a BOP is, what a mod factor means, what a suspicious FNOL pattern looks like.
02
Woven into the workflow, not bolted on
Atlas AI appears inside the adjuster workbench, the underwriter submission queue, and the billing dashboard — not in a chat window on the side.
03
Ships on your regular release cadence
New AI capabilities land quarterly with your normal Atlas update. No separate contract, no separate vendor, no separate deployment.
Capabilities

Where it shows up in Atlas.

Here are some of the ways customers put Atlas AI to work — across policy, billing, claims, and conversion.

Policy

Submission enrichment

Pulls public-record and bureau data to pre-populate submissions. Underwriters review a draft, not a blank form.

Policy

Rating anomaly detection

Flags rate-bookings outside your filed territory/class variance envelope — before bind.

Policy

Endorsement drafting

Auto-drafts endorsement language from prior policy history. One-click review-and-issue.

Billing

Collections intelligence

Prioritizes aging A/R by predicted payment likelihood — not just days-past-due. Reduces write-offs an average of 18%.

Billing

Cash-application matching

Matches lockbox and ACH receipts to open invoices automatically. Reduces unmatched cash exceptions by 92%.

Claims

FNOL triage & severity

Classifies first notice of loss by predicted severity. Routes complex claims to senior adjusters on intake.

Claims

Reserve recommendation

Suggests initial reserve amounts based on your historical closed-claim patterns for the same class and geography.

Claims

Vendor routing

Assigns field adjusters, independent appraisers, and repair networks based on real-time availability and specialization.

Operations

Workflow acceleration

Suggests next-best-actions inside adjuster and underwriter queues — learned from your team's own resolution patterns.

Conversion

Migration Assist

Agents profile, map, and validate legacy extracts into Atlas with confidence scores and reversible staging scripts. Human-in-the-loop. Ships with delivery — not a side chatbot.

Governance & Safety

Regulators ask. We answer.

Atlas AI ships with model cards, explainability outputs, and adverse-action documentation — ready for state examination. We do not train carrier-specific models on commingled data.

Model cards and evaluation results published quarterly
No cross-carrier training on proprietary loss data
Adverse-action reason codes for underwriting recommendations
Explainability outputs available on every AI decision
Configurable confidence thresholds — auto-act or always-review
Audit log of every AI recommendation and disposition
Regulatory readiness
Model cards and adverse-action docs ready for state examiners.
Data isolation
Carrier data is never used to train models for other carriers.
Human-in-the-loop
Every AI action can require human review at your configured threshold.
SOC 2 alignment
AI operations are scoped within the Atlas SOC 2 Type II boundary.
Migration Assist

Migration Assist — agents that map the book, not another data project.

Convert books faster. Same Atlas core. Built in. Not bolted on.

What it is

Atlas Migration Assist uses agents trained on real Atlas conversions to profile legacy extracts, propose field maps with confidence scores, and emit reversible staging load scripts — with a human SME approve gate. Same work our delivery teams already run on every conversion. Now it is a named Atlas capability.

Why it matters

Core bake-offs increasingly hinge on transformation risk, not feature checklists. Peers are shipping migration and config hubs as AI ROI. Atlas already runs this muscle on every implementation — we are putting it on the product page where buyers look.

What it does
Ingest legacy files as-is — no six-month reformat project first
Propose source → Atlas column maps with confidence scores
SME approve / reject with an audit trail
Emit reversible staging scripts — not live writes until you say so
Compress map-and-validate time on the question that stalls conversions: how long to convert?

Talk to us about your next conversion or book load. Ask for a Migration Assist walkthrough on a sample extract.

See what Atlas can do for you.

Request a Demo