Governed AI agents for claims and underwriting.
How an insurer could use Lenz, the AI Factory App from Data Tiles, to move from AI experimentation to production-ready AI agents — built on governed data products from Latttice and operating within approved policies, controls, and human oversight.
From AI Ambition to AI Delivery
Insurers are under pressure to use AI to improve customer experience, accelerate decisions, and manage risk. The harder problem is not building AI experiments — it is delivering AI agents that operate consistently on trusted data, within clear governance, and with auditable controls.
This example illustrates how an insurer could use Lenz, the AI Factory App from Data Tiles, as the operating layer for enterprise AI agent delivery. By connecting AI use cases to governed data products created in Latttice, the organization could build a repeatable path from idea to production.
From experimentation to governed AI in production.
From Experiment to Production
AI use cases moved past pilots into governed, repeatable delivery with clear ownership and oversight.
Agents on Trusted Data
AI agents operated on governed data products with lineage, quality indicators, and approved input and output ports.
Governance From the Start
Risk classification, approvals, and human oversight were embedded in the build process, not added as a final review gate.
Auditable AI Delivery
Every agent had documented purpose, decision logic, controls, and escalation rules, supporting both internal assurance and regulator scrutiny.
Pilots That Could Not Cross Into Production
An insurer might have no shortage of AI ideas. Teams across claims, underwriting, and customer operations might be experimenting with models and assistants, but very few might be making it into production. The reasons would be familiar: unclear ownership, inconsistent data, missing governance, and limited visibility for risk and compliance teams.
Leadership would need a way to industrialize AI delivery — one that connected the business problem, the data, the controls, and the operational outcome in a single, governed pipeline.
Lenz as the Operating Layer for AI Agents
The insurer could adopt Lenz as the operating layer for AI agent delivery. Lenz would structure the lifecycle from use case capture through to production, with governance embedded throughout. Data readiness would be anchored on governed data products built in Latttice, so every agent could operate on approved, business-ready data rather than ad hoc extracts.
Use Case Discovery
Capture the business problem, target users, decision point, outcomes, risks, value hypothesis, and delivery priority in a consistent structure.
Agent Design
Define the agent objective, interaction model, decision logic, required APIs, escalation rules, and success measures before any build begins.
Data Readiness
Connect agents to governed data products with lineage, AI readiness metrics, semantic context, and policy enforcement built in.
Governance & Control
Apply AI risk classification, approval checkpoints, human oversight, production readiness checks, and auditability throughout the lifecycle.
AI agents that earn their place in the business.
Faster, More Consistent Claims Triage
An AI agent built in Lenz supported claims handlers by drawing on governed customer, policy, and claims data products, improving triage speed and consistency without removing human judgment.
Smarter Underwriting Support
Underwriters used a governed AI agent to surface relevant policy history, risk indicators, and reference data — all sourced from approved data products with documented lineage.
Risk and Compliance Confidence
Risk, compliance, and model governance teams could see how each agent was classified, what data it used, who approved it, and how it was monitored in production.
A Repeatable Path for New Use Cases
Once the delivery pattern was established, new AI use cases moved through the same governed pipeline rather than being rebuilt from scratch each time.
AI Readiness Begins With Trusted Data
For insurers, AI is most valuable where decisions are frequent, consequential, and well-defined — and where governance is non-negotiable. By combining governed data products in Latttice with the AI delivery operating layer in Lenz, an insurer could build AI agents that the business could deploy, trust, and explain.
Because AI readiness does not begin with AI. It begins with trusted, governed data at the point of decision.