AI for Insurance
AI that moves claims and submissions faster.
Shorter cycle times. Lower handling costs.
We build production AI for carriers, MGAs, and agencies, from submission intake and underwriting support to claims triage and policy servicing, with the controls regulators expect.
Trusted by teams in regulated, document-heavy work
Why insurance is different
Insurance runs on documents. Your people shouldn't have to.
Submissions, loss runs, claim files, and policy forms arrive in every format. Adjusters and underwriters spend hours keying data instead of making decisions, and every decision has to stand up to regulators.
Where value is created
In intake and triage: submissions, first notice of loss, and the claim and policy documents behind them.
How it gets measured
Cycle time, quote and bind rates, loss adjustment expense, and the files each adjuster or underwriter can handle.
What earns trust
Explainable outputs, human sign-off on coverage decisions, and audit trails for regulators.
From strategy to production
AI built for underwriting, claims, and service.
Start with one high-volume workflow or a company-wide AI program.
AI Strategy & Governance
Find where AI pays back fastest, and the guardrails to deploy it fairly.
- Underwriting and claims AI assessment
- Use cases ranked by cycle time and cost
- AI governance and fairness policies
- Vendor evaluation for insurance AI tools
- Adjuster and underwriter training
- Executive-ready AI roadmaps
Production AI Engineering
Engineers who build intake, triage, and servicing AI into your core systems.
- Submission intake and data extraction
- First notice of loss and claims triage
- Loss run and medical record summaries
- Policy servicing and customer support agents
- Coverage and policy wording Q&A
- Policy admin and claims system integrations
Measurable outcomes, not theories
Results that shorten cycle times.
Client result · Insurance
80%
Reduction in document processing time for a national insurance operation
PressW automated document processing for a national insurance operation, so staff review exceptions instead of keying data from every file.
More client outcomes
10,000+
Documents processed monthly through an AI-powered intake system
$0.02
Cost per conversation for an AI support agent serving 50,000+ customers monthly
2,000+
Hours saved annually through automated compliance review for a financial services firm
200+
Custom workflows delivered
90+
Custom AI software deployments
$100M
Of client value created
Where insurance AI stalls
Most insurance AI pilots stall in the same four places.
The fix: start with intake, keep people on coverage decisions, and build compliance in from the start.
Legacy core systems
Policy admin and claims platforms make it hard to get data in or out.
Messy documents
Submissions and claim files arrive as PDFs, scans, and emails in every format.
Regulatory scrutiny
AI fairness and model governance rules stall projects that lack clear controls.
Change fatigue
Adjusters and underwriters won't adopt tools that add steps to their day.
How it works
From first workflow to enterprise AI in three steps.
Start with one high-volume line of business, then scale.
- 01
Assess
Map intake, claims, and servicing workflows and score them by volume, cycle time, and risk.
Explore AI Transformation - 02
Build
Ship a production system with human review, audit logs, and integration into your core platform.
Explore AI Engineering - 03
Scale and manage
Extend to more lines of business and monitor accuracy, fairness, and cost over time.
Explore Managed AI
FAQ
Questions insurers ask us.
Don't see your question? Bring it to an intro call.
Less time keying data. More time underwriting risk.
From strategy to production AI: one partner for underwriting, claims, and service.