Claims teams buried in data entry
Claim forms, documents, follow-ups: your teams re-enter data instead of assessing files.
Your experts' time goes into data entry, not risk analysis.
AI that works for your insurance teams.
Claims, underwriting, compliance, customer relations: your teams gain speed and reliability across the whole chain.
Book a callTrusted by
The problem
AI seems to be everywhere. The value, nowhere.
The POC graveyard
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach daily work.
An individual ChatGPT, zero compounding
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the company sees neither ROI nor a collective advantage.
95%
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
75%
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Use cases
AI across your insurance processes.
From claim filing to broker reporting, every step becomes faster, more reliable and more compliant. We break down the AI use cases that hold up in production in insurance.
Claims handling & triage
- Automatic triage of incoming claims by type and severity
- Smart routing to the right expert based on the claim's nature
- Generation of template responses and real-time case tracking
Proposal generation
- Personalized quotes built from the client's profile and needs
- Automatic comparison of coverage and deductibles across products
- Human review before anything goes to the client
Regulatory watch & compliance
- Continuous monitoring of ACPR, IDD, Solvency II and AI Act developments
- Automatic alerts and regulatory summaries for the teams
- Compliance checks on contractual documents before sending
AI desk for your advisors
- Instant answers to technical questions on coverage and exclusions
- Unified access to policy terms, case law and service notes
- Sources cited in every answer, verifiable in one click
Underwriting & risk analysis
- Automatic consolidation of client data for risk assessment
- Pre-scoring of files against your underwriting criteria, final decision by a human
- Detection of anomalies and weak signals across portfolios
Automated reporting for brokers
- Production and loss-ratio dashboards updated continuously
- Automatic performance summaries by carrier and product line
- Pre-filled regulatory reports for transmission to carriers
How we help
Five ways to move forward, in the order that suits you.
FrameDeploy
- Enablement Bring leaders and teams on board: what AI concretely changes for your business, with demos and real cases.
- AI Audit Process mapping, data analysis, top 5 costed use cases with ROI per case. A roadmap you can defend.
- AI Training Your teams get hands-on with Claude, ChatGPT or Microsoft Copilot, wired into your tools, your data and your procedures.
- AI Automation Agents that run your high-volume processes: inbound handling, enrichment, reporting.
- AI ops product When off-the-shelf no longer cuts it: bespoke business apps, built on your data, that you own.
A proprietary method, accelerated by our tech.
Our internal tools map in days what traditional firms take weeks to audit.
Broader scope, execution in the field, delivery twice as fast.
Accelerated immersion
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Pilot on your data
Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.
Scale without lock-in
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
Where to start?
30 minutes to identify your highest-impact use cases. No commitment.
Book a callThey say it better than we do
All solutions were live in less than six weeks. Quick wins galvanized the whole team. Dust was deployed at scale with structured onboarding (templates, best practices, use cases by function) and seamless integration in our tools. Tandem also supports our portfolio companies in identifying high-ROI levers and industrializing automations.
Éléonore Breton
Operating Partner, Newfund
White paper
Everything AI can do in insurance.
A complete guide, reserved for industry professionals. Leave your email and we'll send it over.
✦Use cases by function, concrete and costed
✦The ROI observed at the companies we work with
✦Our deployment method, explained step by step
The questions we get.
What happens to our data?
An NDA before any exchange. Your data is never used to train models: isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365), EU hosting available and compliance with your industry's rules (GDPR, HDS in healthcare, DORA in finance).
How do you integrate with our tools?
We plug into what exists: Microsoft or Google suite, CRM, ERP, business tools. No rip-and-replace: agents slot into your current processes.
How long before the first results?
We frame the first use cases, then deploy in short iterations. At Newfund, every solution was live in under six weeks.
How is ROI measured?
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers.
Who works on the engagement?
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope.
Can an AI agent process files without human review?
Standard files, yes, end to end. High-stakes files always go to human review. That is the setup we deployed at Santiane, under strict regulatory constraints.