Every credit decision, defended from the day it's made and the years after.

Banking runs on judgment calls that have to survive a regulator's questions months later, not just a committee's approval today.

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What we consistently hear

The same handful of pain points, in every conversation with teams in this industry.

Consistency depends on who picked up the file

Two analysts can look at the same application and reach different calls, and there's rarely a clean way to show why one call was right and the other wasn't.

Coverage is a percentage, not a guarantee

KYC and AML screening often runs on a sample, because reviewing every new account the way policy requires would take longer than the business can wait.

Investigations wait behind evidence gathering

Fraud and audit teams spend most of a case's cycle assembling the file, not deciding what's in it, and the backlog grows while they do.

Relationship managers spend the meeting building the meeting

Portfolio review prep eats the hours that should go to the client sitting across the table, not the system behind them.

How Zentis addresses it

Not a bolt-on feature for each pain point. One governed platform that removes the root cause of all of them.

One governed team, every file

Zara builds the same six-role team for every application. It doesn't have a good day or a bad day, and it doesn't disagree with itself between reviewers.

Full population, not a sample

Deterministic rules run first and extend coverage to every account, not just the ones that happened to get pulled for review.

Evidence assembles itself, live

The defence file builds as the case moves through Zen Pilot, not after someone finally asks a regulator to reconstruct it.

A second opinion before anything's signed

A SPAR adversarial pass checks the first conclusion against how a similar case was handled, before a named officer signs off on either.

What this could mean

Illustrative, drawn from the shape of workflows modelled for this industry. The real number depends on the case, the team, and how it's configured.

Decision cycle time

Days down to hours

across credit, fraud, and onboarding workflows modelled for banking teams.

Screening coverage

Sample to full population

without adding headcount to the compliance function.

Senior escalation rate

Fewer cases reaching a senior analyst

when the first pass already carries a documented, checked rationale.

Meeting prep time

Hours down to minutes

so relationship manager time goes to the client, not the file.

Use cases

Use cases in Banking & Credit

Specific workflows, worked through end to end.

A bank building, beside figures on global reach — 170+ countries represented and $444B+ USD of global economic activity

Banking - Middle East

More workflows are being modelled

If yours isn't listed yet, that's a conversation worth having with Zara.

Built for how this industry is actually regulated

RBI, CBUAE, FCA, and the data residency requirements that come with each. Deployment runs as SaaS, private cloud, on-premise, or fully air-gapped, with model choice, OpenAI, Anthropic, Google, open-weight, or your own, set per agent at runtime. GDPR compliant, SOC 2 and ISO 42001 certified, regardless of which option you choose.

Why teams choose this over the alternatives

Most banks evaluating this work compare an internal build team against a horizontal, no-code platform. Neither ships with banking-native agents, jurisdiction-aware regulatory packs, or an adversarial check built into the cycle. Zentis starts with all three already in place.

Three answers, before you have to ask.

The economic buyer is assessing career risk, not capability. These are the three doubts, answered inline.

The full detail lives on the Trust page.

Determinism

What happens when the model is wrong

Deterministic rules run before any model does, and roughly 69% of narration-audit records settle on rules alone. Below the confidence threshold the workflow escalates to a human rather than guessing.

Deployment

Where the models run, where the data sits

Your choice per deployment: SaaS, private cloud in your own subscription, on-premise inside your data centre including the models, or fully air-gapped with no egress at all.

Regulatory

Can this be shown to a regulator

Every decision carries a defence file: source, rule applied, confidence, adversarial record, and the named approver. Regulatory overlays ship per geography, versioned alongside the workflow.

A bounded way to find out.

No quarter-long RFP. A working session on your documents, with the challenge step switched on. If the controls it extracts are wrong, you will see that immediately — which is the point.

DurationSix to eight weeks, on a process you name.

What we need from you

A named process, and the documents it touches
One working session with the team that owns it
The regulatory pack for the geography you run in

What you get at the end

A running agent team on your data
The defence file for a real decision, end to end
A written readout: what held, what did not, what production takes

The same cycle, whatever the domain.

Banking & Credit work goes through SPAR like everything else. The domain knowledge changes; the governance does not.

SaaSPrivate cloudOn-premiseAir-gapped

Model choice is configuration, per agent, at runtime — including your own on-premise model.

SSourcePulled from the system of record, with provenance and hash captured at ingest.provenance · hash

PProcessDomain specialists run in parallel under a schema contract, so bad payloads fail loudly.schema contract

AAdversarialA separate agent, on a different model, tries to break the result.cross-model review

RReleaseNothing leaves without a named human approving it. Citations, confidence, all of it.named approver

See banking & credit on your own documents.

A working session, on your data, with the challenge step switched on. If the controls it extracts are wrong, you'll see that immediately — which is the point.

Book a demo

What we consistently hear

The same handful of pain points, in every conversation with teams in this industry.

Consistency depends on who picked up the file

Two analysts can look at the same application and reach different calls, and there's rarely a clean way to show why one call was right and the other wasn't.

Coverage is a percentage, not a guarantee

KYC and AML screening often runs on a sample, because reviewing every new account the way policy requires would take longer than the business can wait.

Investigations wait behind evidence gathering

Fraud and audit teams spend most of a case's cycle assembling the file, not deciding what's in it, and the backlog grows while they do.

Relationship managers spend the meeting building the meeting

Portfolio review prep eats the hours that should go to the client sitting across the table, not the system behind them.

What this could mean

Illustrative, drawn from the shape of workflows modelled for this industry. The real number depends on the case, the team, and how it's configured.

Decision cycle time

Days down to hours

across credit, fraud, and onboarding workflows modelled for banking teams.

Screening coverage

Sample to full population

without adding headcount to the compliance function.

Senior escalation rate

Fewer cases reaching a senior analyst

when the first pass already carries a documented, checked rationale.

Meeting prep time

Hours down to minutes

so relationship manager time goes to the client, not the file.

Built for how this industry is actually regulated

Why teams choose this over the alternatives

Every credit decision, defended from the day it's made and the years after.

What we consistently hear

Consistency depends on who picked up the file

Coverage is a percentage, not a guarantee

Investigations wait behind evidence gathering

Relationship managers spend the meeting building the meeting