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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

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AboutPartnersContactCareers
© 2026 Zentis AI. All rights reserved.info@zentis.aiLondon, England
Anthropic Partner NetworkNVIDIA InceptionTechvantage.ai, Deloitte Technology Fast 50

Forecasting, reserving, and reporting, on one live core.

Zentis Analytics connects policy, claims, actuals, and risk into a single data core, so finance and actuarial teams stop reconciling systems and start reading the numbers.

Request a demoSee it in a real workflow

What Zentis Analytics is

Four connected modules, Policy Intelligence, Claims Intelligence, Actuals & Variance, and Finance & Risk Analytics, running off one live data core, with a Scenario Lab to stress-test assumptions before they reach a board pack.

Voice agents plug into the same core, so a customer conversation, a claim update, a policy question, feeds the same risk and reporting picture as everything else, instead of living in a separate system nobody reconciles until quarter end.

Image, analytics overview

A day in the life, before Zentis Analytics

Forty five people across finance and actuarial, four systems that don't talk to each other, and a quarterly close that starts with export files and ends with someone manually checking whether the loss triangle in one system matches the premium figures in another. By the time the board pack is ready, everyone's confidence in the numbers is really just confidence that nobody found a mismatch this time.

Industry Friction

The pain points we consistently hear

From finance and actuarial teams across P&C, life, and reinsurance books.

01

Quarterly close eats the time meant for analysis

Reconciling premium, reserving, and reporting across separate systems consumes weeks that should go to actually reading the numbers.

02

Reserve estimates get reconstructed by hand

Multiple actuarial methods, run separately, with no single live view of where they agree or diverge.

03

Forecasts and actuals live apart until someone stitches them together

The board pack gets built from last quarter's confidence in this quarter's numbers, because there was never time to check them properly.

04

The wrong methodology gets pitched to the wrong book

P&C-specific language like loss triangles doesn't map cleanly onto a life insurer's forecasting reality, or a reinsurance broker's, and treating them the same erodes trust fast.

How it actually runs

Not a feature list. The actual sequence, from the moment the quarter opens to the moment the board pack is ready.

01

Policy and claims data feed one core as they're written

Not batched at quarter end. The data that will eventually reach the board pack starts flowing from day one of the quarter.

02

Actuals get checked against forecast continuously

Variance surfaces as it happens, not as a surprise during close week.

03

P&C reserving runs in parallel, not sequentially

Chain Ladder, Bornhuetter-Ferguson, and Mack run together, with ODP bootstrap producing a 95th percentile range instead of one number presented as certain.

04

Life forecasting runs its own methods, on its own terms

Holt-Winters, SARIMA, Theta, and Trend and Seasonality models, matched to how a life book actually behaves.

05

The Scenario Lab stress-tests it before anyone else sees it

A variation gets run across every module first, so what reaches the board has already survived scrutiny.

06

The ratio pack builds itself as the quarter closes

Loss ratio, expense ratio, combined ratio, ready before the meeting, not the night before it.

Image, engagement screen

The four modules, in depth

Each one is a full module, not a feature. Together they're what makes one live core possible instead of four reconciled systems.

Policy Intelligence

Live policy-level data, the wording in force, the endorsements, the coverage terms, feeding directly into forecasting and risk views instead of sitting in a policy admin system nobody else queries until something goes wrong.

Claims Intelligence

Claims data connected to reserving and reporting the moment a claim is logged, not reconciled once a quarter. What used to be a separate export becomes part of the same live picture everything else draws from.

Actuals & Variance

Actuals tracked against forecast continuously through the quarter, so variance is something finance notices as it develops, not something they discover the week the board pack is due.

Finance & Risk Analytics

Risk and financial reporting drawing from the same live core as the other three modules, so the number that goes to the board and the number the risk committee sees are, structurally, the same number.

Image, module connectivity diagram
Stakeholder Value

Built for the person who has to present the numbers

Chief Actuary

The methodology question

Chain Ladder, Bornhuetter-Ferguson, Mack, and ODP bootstrap for P&C, run properly, not approximated.

Head of Finance & Actuarial

The close-time question

Nine weeks of reconciliation becomes a board pack that's ready when the quarter closes, not two weeks after.

CFO

The confidence question

A reserve range with a stated percentile, not a single number nobody can defend if it's questioned.

What doesn't change

Finance still owns every number that reaches the board. What changes is how much of the quarter gets spent chasing them instead of using them.

Core Capabilities

Features

Policy Intelligence

Live policy-level data feeding directly into forecasting and risk views.

Claims Intelligence

Claims data connected to reserving and reporting in real time, not at close.

Actuals & Variance

Actuals tracked against forecast continuously, not reconstructed once a quarter.

Finance & Risk Analytics

Risk and financial reporting drawing from the same live core as every other module.

Scenario Lab

Stress-test assumptions across all four modules before they reach a report.

P&C reserving methods

Chain Ladder, Bornhuetter-Ferguson, Mack, and ODP bootstrap with a 95th percentile range.

Life forecasting methods

Holt-Winters, SARIMA, Theta, and Trend and Seasonality, matched to a life book's actual behaviour.

Voice agents

Customer conversations that understand context and feed the same reporting core.

Benchmark Comparison

Zentis Analytics against point solutions

DimensionSeparate point solutionsZentis Analytics
Data
Four systems, reconciled manually at close
One live core, all four modules draw from it
P&C reserving
Run separately, stitched in afterward
Chain Ladder, Bornhuetter-Ferguson, Mack, and ODP bootstrap, connected to the same core
Life forecasting
Often approximated with P&C-style tools
Holt-Winters, SARIMA, Theta, and Trend and Seasonality, purpose-built for the book
Assumption testing
Manual, usually after the fact
Scenario Lab, run before anything reaches a report
Close turnaround
Weeks, dominated by reconciliation
Days, dominated by review

See it in a real workflow

Insurance · Singapore

Quarterly close and reporting for a life insurer

9 weeks → 2 daysQuarterly board pack turnaround
Quantifiable Impact

What this could mean

Illustrative, based on the shape of finance and actuarial workflows we've modelled. The real number depends on your book, your systems, and how it's configured.

Weeks → daysquarterly close turnaround, once systems stop needing manual reconciliation
1 coreforecast, reserve, and ratios connected instead of stitched together
Matched methodsP&C and life handled with the actuarial approach each actually needs

Deployment and compliance

Zentis Analytics deploys as SaaS, private cloud, on-premise, or fully air-gapped, the same options available across the rest of the platform. GDPR compliant, SOC 2 and ISO 42001 certified, regardless of which option you choose.

Zentis Analytics doesn't run on its own runtime. It runs on this one.

Platform · Zara

How a reporting workflow gets built

Describe the close process, and get a first draft of the team back in the same conversation.

Explore Zara →
Platform · Zen Studio

Where the methods get configured

Set which actuarial methods apply to which book, node by node.

Explore Zen Studio →
Platform · Zen Pilot

Where the numbers get watched

Watch the data core update in real time as the quarter progresses.

Explore Zen Pilot →
PILOT VERIFICATION

Bring one quarter's close. See what one live core does to it.

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