Skip to content
Zentis AI
Request a demo
Zentis AI
Industries
Banking & creditSOUL co-pilot, retail credit, onboarding.InsuranceFNOL, claims triage, underwriting.Finance, risk & voiceForecasting, reserving, voice agents.Insurance BrokerageEvery quote and every renewal, ready before the client starts wondering.
Products
Zentis AnalyticsForecasting, reserving, and regulatory reportingAuditOSBank, e-commerce, Shariah, and claims audit.FAMIend-to-end motor insurance automationZentis BinderDefence file assembly, live as the case runs.
Resources
NewsProduct news and conference write-ups.ArticlesLonger pieces on AI in regulated industry.Events & webinarsWhere to find us in person.UsecasesA library of reusable, editable templates.
Company
AboutWho we are and why the harness is the product.PartnersTechnology, consulting, and reseller partners.ContactTalk to the team, or book a working session.CareersJoin us
Platform
ZaraZara is where a workflow starts, Zara builds the team.Zen StudioZen Studiois where engineering opens it upZen PilotZen Pilot is where it actually runs
Request a demo

Stay Ahead with Zentis AI Insights

Subscribe to receive the latest updates straight to your inbox

Zentis AI

An enterprise-grade agentic platform for banking, insurance, and audit. Incubated by Techvantage.ai.

Platform

ZaraSPARZen StudioZen Pilot

Solutions

Audit & complianceInsuranceBanking & creditFinance, risk & voice

Trust

The defence fileSecurityAssuranceRegulatory packs

Resources

NewsArticlesEvents & webinarsClassic

Company

AboutPartnersContactCareers
© 2026 Zentis AI. All rights reserved.info@zentis.aiLondon, England
Anthropic Partner NetworkNVIDIA InceptionTechvantage.ai, Deloitte Technology Fast 50
← All use cases10 / 20
Insurance · Global

Health insurance underwriting automation

A four day wait for a coverage decision could become the length of a coffee break.

Built with an Underwriting Manager in mindHealth insurance underwriting automation — workflow screenshot

The kind of team this fits: a group health insurer, roughly 200 applications a week across individual and group lines.

The morning before

200 applications a week, a four day wait for a coverage decision, and the outcome depends more on which reviewer happened to pick up the file than on what's actually in it.

Image, the morning before

A photo or illustration of what this looks like today, before any of this runs.

How this could run

Not a feature list. The actual sequence, from the moment the case lands to the moment someone signs it.

  1. 01

    Medical history gets read in full

    EHR, medical records and claims history are ingested to assess overall health risk.

  2. 02

    Anti-selection risk gets flagged, not guessed at

    Clinical patterns and utilization data surface pre-existing and anti-selection risk before a decision is made.

  3. 03

    The rationale travels with the decision

    Coverage decisions arrive with clear rating rationale attached, ready for underwriter review.

Image, inside Zen Studio

Screenshot of a Zen Studio canvas configured for a workflow like this one.

What doesn't change

An underwriter still reviews every coverage decision. What changes is whether that review starts from a blank file or a reasoned one.

What this could mean

Illustrative, based on the shape of a workflow like this one. The real number depends on the case, the team, and how it's configured.

4 days → 30 minutesApplication to coverage decision
92%+Underwriting decision consistency
Image, inside Zen Pilot

Screenshot of the Zen Pilot dashboard or explainability panel for a run of this workflow.

Where this lives in the platform

For an underwriting manager, a workflow like this starts as a conversation with Zara, describing the process in plain language and getting a first draft of the team back in the same session. Zen Studio is where engineering opens that draft, sets the guardrails node by node, and versions it before it goes live. Zen Pilot is where it actually runs, and where anyone can watch a case move through it in real time, node by node, with the reasoning attached.

Scale this is modelled on

Modelled at 200 applications a week

See a workflow like this built and running, live.Request a demo
← Previous use caseAll use casesNext use case →