Global auto insurer
Segmentation & Growth · Auto +12% Customer retention
+3.2% Average surpremium, monthly
1 month To update models and actions
Industry
Grounded AI with Validated Actions for Insurance
Grounded in your data and explainable machine learning. Validated by grounded agents and your team in the loop. Pre-built agents for retention, customer messages, claims audit and claims fraud, live in days.
Segmentation & Growth Agent · auto insurance renewals · skill auto-retain-agent · 3:04
Ten questions, from premium at risk to solution monitoring
Measure the problem
How much renewal premium is at risk, how much is profitable, and which policyholders to contact first.
Understand the reasons
Why policyholders are leaving, and whether renewal pricing is driving them away.
Act and prove value
Keep one policy, then price what cutting lapses by 3 to 4% is worth against calling at random.
Keep business users in the loop
Solution Handoff at go-live and Solution Monitoring every month.
The Challenges You Face
Lapse and Unprofitable Renewals
Every renewal carries two questions: will this policyholder lapse, and is the policy worth keeping? Without both answers, retention teams call at random and pricing drives the wrong customers away.
Claims Paid Wrong
Audit teams can only review a slice of claims, and fraud scores that experts cannot read or correct leave clean claims stuck on claims managers' desks.
Customer Messages Left Waiting
Complaints, requests and feedback arrive across channels faster than teams can read them, so the critical messages are found late.
How TAZI Helps
One platform, four grounded agents for insurance. Pre-built, explainable, live in days.
+13 pts Retention
Segmentation & Growth
Who will lapse, and which segments make or lose money.
Premium revenue +8%
60,000+ Messages analyzed
Voice of Customer
Classify, route and answer every customer message.
To classify a month of feedback 1 minute
Lower Audit volume
Claims Audit
Audit the claims most likely to be paid wrong.
Variables used per audit More
Days To live models, on par or better
Claims Fraud
Score fraud risk with reasons experts can correct.
Off claims managers' desks Clean claims
Proven value
Measurable Results with Insurers
US regional auto insurer
Segmentation & Growth · Auto 3x Outreach team efficiency
14 days To ROI
$2.3M Retention savings in Q1
Claims Audit
In progressValidated agent, measured on 2,489 real claims
−22% Harshest audit holds (11.8% → 9.2%)
−81% Known routing error (4.6% → 0.9%)
0 pp Loss in catching real problems
Voice of Customer
In progressInsurance & pension group, Türkiye
2,000+ Messages classified per month
93.4% Negative messages, prioritized by severity
13 Critical messages flagged in one week
How It Works: Grounded, Validated, Governed
Humans in the loop at every step.
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Predictive AI
Who will lapse? Which claim is wrong?
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XAI for Humans to Trust
Why, in plain words.
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Agents
The next-best action.
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Agents for Humans to Control and Plan
Only ROI-proven actions ship.
Solution Governance
keeps business users in the loop
Solution Handoff
- "Is the model accurate and fair at go-live?"
- "Is our data ready?"
Solution Monitoring
- "Is the model still healthy this month?"
- "Has behaviour drifted?"
Conversational Agent
- "Why is this claim flagged?"
- "What's the ROI of this segment?"
Example · Auto renewals
Retention Pipeline: Two Models, Explained
Every renewal is scored for lapse and for profitability; both explanations become named patterns.
Lapse model
- Data
- Renewal history: premiums, surpremium, broker tier, vehicle, claims
- Predict
- Likelihood each policy does not renew, with its top drivers
- Explain
- 25 named patterns
"Silver-Tier Top Premium, High-Lapse Car Models"
81.7% lapse vs 55.2% across the book
Profitability model
- Data
- Policy profitability history: claims, cover, deductible, vehicle, broker tier
- Predict
- Likelihood the renewed policy is profitable (profit / loss)
- Explain
- 26 named patterns
"Tug Trucks, High-Loss Models"
27.7% loss vs 6.6% across the book
Measure
- Q1 How much renewal premium is at risk, and how much is profitable?
- Q2 Which policyholders do we contact first?
Understand
- Q3 Why are policyholders leaving?
- Q4 Is our renewal pricing driving them away?
Act
- Q5 Help me keep policy [number]: why, and what to do.
Prove value
- Q6 What is cutting lapses by 3 to 4% worth?
- Q7 How much better is this than calling at random?
One Platform, Three Paths to Production
TAZI is a platform, not a point solution. Pre-built use cases ship with it, and your teams build their own on the same governed foundation.
Bring Your Own Models
Onboard the models you already have.
Fastest way to make today's models deployable
Deploy Pre-Built Use Cases
Out-of-the-box explainable agents, live in days.
Proven value while your own build ramps up
Build New Use Cases
For risks and opportunities no vendor has templated yet.
Primary long-term path for customer office & actuarial teams
All three paths land on the same foundation: explanation layer · proposed & validated actions · human-in-the-loop gates · drift monitoring · model cards & compliance docs · real-time REST serving
Enterprise Ready for Highly Regulated Industries
Built for AI at scale and for an agentic world: agent- and business-user-ready, continuously updated, secure and deployed on your terms.
Agent & Business-User Friendly
MCP tools, SDK, workflows and ETL for agents; no-code UI and MLOps for humans.
Continuously Updated
Continuous learning and GEPA keep the explanation models and agents current, with no full retrain.
Explainable & Validated
Explainable ML with business-friendly explanations; actions validated by expert-panel and focus-group agents.
BYOK / BYOM
Bring your own keys and LLMs; keep control of your models and secrets.
Cloud · On-Prem · Hybrid
Deploy where your data lives. No vendor lock-in.
Multitenant
One secure platform across teams and business units, isolated by design.
Real-Time Deployment
Single REST API, event-driven or batch, auto-scaling for high throughput.
Drift Monitoring
Continuous data and concept-drift detection on every deployed model.
Secure, Governed & Documented
Auditable activity logs, auto-generated model cards and compliance documentation, RBAC, enterprise IdM integration.
Industry Recognized Platform
7
Key Industry Patents
- Online machine learning system that continuously learns from data and human input
- Continuously learning, stable and robust online machine learning system
- Human-understandable online machine learning system
- Display screen with transitional graphical user interface, plus 3 more design patents
6
Industry Awards & Programs
- InsurTech100
- AIFinTech100
- MassChallenge · Alumni and RESOLVE '25 Finalist
- RevTech Labs
- Finovate · Best of Show 2023
- Banking Tech Awards · Best AI Solution Finalist, FinTech Startup of the Year Finalist
Ready to Build Trusted AI Agents with ROI in Weeks?
Start with Segmentation & Growth, Claims Audit or Claims Fraud, then expand across lines of business and channels with rapid deployments.
See How TAZI Works for InsuranceNo commitment. No credit card. Just insight.
Explore Our Solutions
TAZI RETAIN Agent
Predict who will leave, explain why in named patterns, and act first on the customers worth keeping.
TAZI VoC Agent
Classify, route and answer every customer message, with critical ones prioritized by severity.
TAZI Expert Panel Agent
Validate proposed actions against your experts' policies before anything reaches a customer.