Zenzo AnalystAsk what Insurance asks every week
Numbers from your systems, wording from your documents, both cited.
Zenzo for Insurance
From claims backlog to clear answers.
Insurers sit on years of policy, claims and service data, plus the documents that explain them. Zenzo lets underwriting, claims and service teams ask questions of both, with evidence on every answer.
- Read-only connections
- Sensitive data hidden before AI sees it
- 30+ connectors
Connects to the systems used in Insurance
PostgreSQL
MySQL
Snowflake
Databricks
Salesforce
Intercom
Zendesk
Excel (XLSX)PDF, HTML & Markdown
Microsoft TeamsWhere the numbers disagree
Where insurance data
tells two stories.
Both stories can be true. Zenzo shows which basis each one uses.
TodayNumbers disagree
Claims manager · what they see today- Loss ratioClaims are booked when reported, premiums when earned.
- Settlement timeSome systems reset the clock when a claim is reopened.
- Policy countEndorsements and renewals get counted as new policies.
- ComplaintsLogged in service tools without the claim reference.
With ZenzoExplained, with sources
Claims manager · with Zenzo- Loss ratioThe basis used, plus the claims still held in reserve.
- Settlement timeClock rules stated, with reopened claims counted separately.
- Policy countUnique policies, with the counting rule shown.
- ComplaintsThe match rate between tickets and claims, shown with the answer.
How it works
From question
to answer you can check.
Follow one Insurance question through Zenzo, from the moment it’s asked to the evidence behind the answer.
Ask
Are complaints linked to particular claim stages?
Which channels bring policies with the lowest claim rate?Which handlers have the oldest open claims?
Answer
Are complaints linked to particular claim stages?
Service tickets joined to the claim stage at the time they were raised.
Answered with Zenzo Analyst · from Zendesk and PostgreSQL
Evidence attached · sources and query shown
You get a plain-English answer with the evidence attached.
Questions with proof
Insurance questions,
grounded in records.
Numbers from your systems, wording from your documents, both cited.
Which handlers have the oldest open claims?
Open claim age by handler and claim type.
Are complaints linked to particular claim stages?
Service tickets joined to the claim stage at the time they were raised.
Flag unusual claim patterns for review.
Anomaly detection on claim counts by region and product, routed to a reviewer.
What does the policy wording say about this event?
The relevant wording quoted from the current policy document, with its section reference.
A claims operations view
Answered with Zenzo BI from PostgreSQL and Zendesk, with the evidence attached.
Decision rhythm
Claims, renewals
and the questions between.
Insurance runs on long cycles and short deadlines. Zenzo covers both.
- Daily
Which claims have been stuck in one stage too long?
Zenzo deliversClaims past their stage target, by handler and region.
- Weekly
Are any claim types rising faster than usual?
Zenzo deliversClaim frequency by product and region against its trend, flagged when it breaks.
- Renewal cycle
Which policies are least likely to renew?
Zenzo deliversRenewal rates by product, channel and claim history.
- Product review
Is this product priced for the claims it attracts?
Zenzo deliversLoss ratio by product and cohort, with premium and claims totals shown.
Where each product fits
Start with Analyst.
Add the rest as you grow.
Zenzo products are built to work together on one platform, so each step builds on the one before it.
Live
Zenzo Analyst
Claims, renewal and channel questions across policy and service data.
Start hereEarly access
Zenzo BI
Claims operations dashboards by region and product.
Learn moreEarly access
Zenzo Knowledge
Policy wordings and procedures answered with the exact passage cited.
Learn moreComing soon
Zenzo Brain
Planned: connecting claims signals with policy and customer context.
Learn moreGuardrails
Switched on
from the first question.
The controls Insurance teams ask about first, applied to every query and every answer.
Privacy firewall
Only masked schema metadata is sent to the AI model. Sensitive data hidden before AI sees it.
Column-level masking
Give each role full, masked or no access per table, and redact, hash or partially mask sensitive columns.
Row-level security
Per-role and per-user filters are applied to every query automatically, so people only see their own data.
Tamper-proof audit trail
Every action is logged with personal data scrubbed and a cryptographic signature that proves it hasn’t been altered.
Single sign-on
Sign in with Google, Microsoft, Okta or any OIDC provider, with SCIM to add and remove users automatically.
Your model, your keys
Bring your own API key, choose OpenAI, Azure OpenAI or Anthropic, or run local models with Ollama.
Policyholder data protectedAccess by line of businessAnswers that cite wording
Explore more
Questions rarely stop
at one team.
These pages pick up where this one ends.
By department
By industry
FAQ
Questions from
Insurance teams.
Still deciding? We’re happy to walk through your own data and questions.
Can Zenzo read policy wordings and claim documents?
Zenzo Knowledge (early access) answers from documents such as PDFs and cites the passage it used.
Does Zenzo decide whether a claim is covered?
No. It shows what the wording says and where. Coverage decisions stay with your claims team.
How does Zenzo connect to policy administration systems?
Through the database or warehouse they write to. We don’t claim direct connectors to specific insurance platforms.
Can we restrict access by product line?
Yes, with row-level security set per role.
Get started
Bring your Insurance
questions.
Connect a source, ask what your team asks every week, and check the evidence behind every answer.
Read-only connections · Sensitive data hidden before AI sees it · 30+ connectorsCheck out the plans that fit your team or organization.
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