Case Study
How Sella Delivers Scalable Credit Risk Explanations with Prometheux
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By Role / For Executives

AI You Can
Defend.

Most AI pilots impress in the demo and stall at sign-off. Prometheux runs your critical decisions as your own business rules, on live data where it lives: autonomous where appropriate, deterministic where required, with a trail behind every result.

Proven in production

Why pilots stall

Impressive Pilot.
Or Production.

The model is not the hard part. Anyone can buy the same one. What stalls AI in critical work is that nobody can predict, explain or own what it does. Prometheux puts your rules in charge of the decision.

Another AI pilot
With Prometheux
Ask the same question twice, get two answers
Rules run deterministically: same data, same result
Automation acts, but "the model said so" is the only explanation
Every result traces to the rules and source rows behind it
Business logic ends up in prompts or a vendor's platform
Logic lives in readable rules you own, version and can export
Adopt a vendor's packaged model of your business
Your own rules decide, written by your experts for your workflow
Data is copied into a sandbox for the pilot
Rules run on live data in place, under your existing access controls
AI costs rise with every agent you add
Repeatable logic runs once in the engine; LLMs only where language is needed
One deployment, one cloud, one model
Runs in your cloud, on-premises or on Databricks and Snowflake, with the model you choose
Control and evidence

When Someone
Asks Why

Regulators, auditors, customers and your board will ask how a decision was made. With Prometheux the decision comes from rules your team approved, the model handles the language, and the engine records which rule fired on which data.

Same Input, Same Output

Rules return the same result for the same data, so any decision can be re-run and checked months later.

A Trail Per Result

Each result links to the rule that produced it and the source records it used, ready for review.

Models, Clearly Fenced

LLM steps are labelled as non-deterministic, so you know exactly which steps could vary and keep them on language work.

Your Controls Apply

Data stays in place under your existing access controls, and credentials stay in saved connections.

What this means for you ⟶

Bring us one critical workflow

Answer "why?" in minutes, not weeks. Put AI into workflows your risk team will sign off. Know who is accountable for every rule.

Ownership and cost

Your Logic.
Your Advantage.

Everyone can access the same models. Your advantage is the rules that decide how your business runs. Prometheux makes them executable and keeps them yours, on the infrastructure you already have, with AI spend kept for the work that needs it.

Owned, Portable Rules

Rules are readable text in your own version control. The same rules run on every deployment, so moving never means rewriting.

Runs Where You Are

Your cloud, private VPC or on-premises, natively on Databricks and with Snowflake. No mandatory migration.

Spend Under Control

Repeatable logic runs once as rules, not in tokens on every question. Usage, limits and remaining quota are visible via API.

Any Agent, Any Model

Agents call your rules through MCP, the REST API or the Python SDK, with the provider and model you choose per step.

What this means for you ⟶

See where it can run

Keep your business logic as company IP. Avoid locking it into a platform or a model. Pay for language, not for re-deriving logic.

From pilot to production

Start With One
Critical Workflow

01

Pick the Workflow

Choose a decision where speed, consistency or an audit trail would change the economics: credit, risk, compliance, supply chain.

02

Connect

Prometheux connects to the systems that workflow needs, where they already are. Nothing is copied.

03

Define

Your experts write the decision logic as rules, with our engineers alongside, reviewed and versioned like code.

04

Run and Prove

People, apps and agents run the rules on live data. Every result comes with its trail, so the business case is shown, not assumed.

Where leaders start

Decisions That
Must Hold Up

AI leadership

Agents in Production

Give agents reviewed business rules to call, so their answers are repeatable and traceable enough to sign off.

Deterministic AI →
Risk and compliance

Governance at the Decision

Policies run as executable rules over your data, so AI follows what you approved and you can show a regulator how.

AI governance →
Finance

AI Spend You Can Plan

Move repeatable logic out of the model and keep LLM calls for language, with usage and limits you can see.

Token spend control →
Sovereignty

Your Infrastructure

Run the whole platform on your own servers or in your cloud, so data and business logic stay under your control.

On-premises →

Proven in Production

“Generative AI without ontologies is an engine without a road. Prometheux builds the road.”
Marco Romei
Deputy CIO · Banca Sella
“Prometheux enabled us to build a system that can access our databases, process all the client's historical variables, and provide an intelligent, understandable explanation autonomously.”
Massimiliano Malin
Head of Credit Risk · Banca Sella
FAQ

Questions,
Answered

How is this different from another AI pilot?

Pilots usually ask a model to work out the business logic on every run, so answers vary and nobody can show how they were reached. Prometheux keeps the decision in rules your team reviews and owns, running on live data, so results are repeatable and traceable from day one.

How fast can we get to production?

We start with one critical workflow. Your experts and our engineers write the decision as rules, and they run on live data in place from the first day, so there is no separate rebuild between pilot and production. The same rules then serve people, apps and agents.

Is the whole workflow deterministic?

No, and we don't claim it is. Agents and models can act autonomously where that is appropriate; the rules that decide are deterministic: same data, same result. LLM steps are labelled as non-deterministic, so you know exactly which steps could vary.

Are we locked in?

No. Your data never leaves your systems, rules are readable text you keep in your own version control, and the same rules run in any cloud, on-premises or on Databricks and Snowflake.

How much will it save?

It depends on the workflow. We start with one critical decision and measure the time, cost and risk on your own data, rather than quote a generic figure.

Bring One
Critical Workflow.

Tell us the decision you need to defend. We'll run it as your rules on your own data, with the trail to prove it.

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