THE VERDICT · EARLY ACCESS

Not every AI project should be deployed.

Beneficial evaluates your AI projects and returns a verdict: STOP, FIX or SCALE.

A vendor presents a sales AI agent.

A startup pitches an HR copilot.

Your teams want to connect an LLM to your data.

It all looks promising.

But before committing budget, teams and accountability: should this project actually be deployed?

Submit my AI project → See how it works
Sample verdict
Sales AI agent CONVERSATIONAL AI · B2B
#BEN-2026-0614
0 / 100
VERDICT: SCALE
ROIPositive
RiskLow
ConfidenceHigh
Illustrative example

BEFORE COMMITTING THE BUDGET

The problem is not the technology. The problem is the decision.

When AI enters an organization:

  • Businesssees a productivity gain.
  • ITsees an integration challenge.
  • The vendorsees a sale.
  • The C-suitesees an opportunity.

But no one sees the full picture. Yet the decision depends on that full picture.

WHAT A COMMITTEE LOOKS AT

If 11 experts were around the table.

If you could bring together in one hour: a CISO, a lawyer, an AI expert, a risk specialist, a business lead, a compliance officer, a data expert...

they would not just watch the demo.

  • 01 Is the ROI credible?
  • 02 Is the data fit for purpose?
  • 03 Are biases controlled?
  • 04 Are regulatory risks acceptable?
  • 05 Is the system explainable?
  • 06 Is security sufficient?
  • 07 Are responsibilities defined?
  • 08 Does governance exist?
  • 09 Is vendor dependency acceptable?
  • 10 Are exit conditions planned?
  • 11 Have operational impacts been assessed?

Most organizations never get that table.Beneficial encodes it.

ALL YOUR AI PROJECTS

Every AI system. Including agents.

The engine evaluates each family of AI systems against its specific risks, without changing the method.

Scoring, classification and prediction models in production. Primary risk: bias and algorithmic discrimination on automated individual decisions.

Credit scoringHR screeningPredictive maintenanceFraud detectionInsurance risk
Risk vectorDiscriminationMaterialized bias on outputs.
Applicable standardsAI Act · GDPR · ISO 23894Articles 10 · 22 · § 6.4

DOMAIN LOGIC

Domain-specific evaluation logic.

The engine is universal, but the regulatory context changes by domain: healthcare, finance, industry, services, public sector.

  • 01HealthcareAdmissibility of a diagnostic-support model before hospital deployment.MDR · HAS · AI Act
  • 02FinanceAlgorithmic scoring: verdict rendered before sectoral production rollout.ACPR · DORA · AI Act
  • 03IndustryRobustness of a predictive maintenance system before factory integration.ISO/IEC 42001
  • 04ServicesHR assistant or customer chatbot: bias risk assessed before public deployment.GDPR · AI Act
  • 05PublicAI project in a public institution: admissibility under the AI Act.AI Act · CNIL

HOW THE VERDICT IS PRODUCED

Evaluation pipeline. 5 layers.

The verdict does not come from a single rule. It results from a parallel analysis of five risk layers, cross-referenced with fourteen international standards.

Evaluation pipeline · 5 layersParallel
01BiasPotential algorithmic discrimination on model outputs.AI Act · Art. 10
02ComplianceAI Act, GDPR and applicable sectoral obligations alignment.14 standards
03ExplainabilityAbility to justify every decision rendered by the model.ISO/IEC 23894
04DataQuality, governance and traceability of training data.GDPR · Art. 5
05HumanEffective human presence and authority in the decision loop.ISO/IEC 42001

THE VERDICT

The arbiter of your AI projects.

Beneficial does not produce a recommendation. Beneficial produces a decision.

FIX Verdict rendered · deterministic

The project can be fixed before deployment.

Score56 / 100
To fixExplainability
Remediation3 weeks
The three outcomes
STOPThe project should not be deployed.
FIXThe project can be fixed before deployment.
SCALEThe project can be scaled.

One engine. Three possible decisions.

STOP, FIX or SCALE. In minutes.

beneficial · engine · evaluation
09:41:12Evaluation initiated
09:41:14ROI: acceptable
09:41:15Governance: compliant
09:41:16Security: compliant
09:41:17Transparency: insufficient
09:41:18Risk: moderate
--------------------------------
VERDICT: FIX

A DEFENSIBLE VERDICT

Why the verdict is defensible.

Because the cost of a bad deployment exceeds the cost of a good decision.

01No access to your dataYour data stays with you.
02A defensible verdictEvery decision is documented and justified.
03A deterministic engineSame project. Same verdict.
04In minutesBefore the budget is spent. Before teams are committed. Before it is too late to say no.

Proprietary method. Patent filed. Intellectual property protected.

WHAT BENEFICIAL IS NOT

Three things Beneficial is not.

  • Not a consulting firm

    Months of committees, six-figure invoices. Beneficial returns a defensible verdict in minutes, at marginal cost.

  • Not a post-deploy governance platform

    Observation dashboards after deployment, access to your data. Beneficial helps decide before deployment, without data access, through a guided workflow.

  • Not an internal committee

    Long cycles, dependence on scarce internal experts. Beneficial provides a neutral external framework, sourced on 14 standards, defensible.

GET YOUR VERDICT

If you cannot decide in minutes, you should not deploy in months.

Submit an AI project: the engine evaluates, cross-references 14 standards and delivers a sourced verdict. No access to your data, no integration POC, defensible report delivered.

Submit a project →
Sourced verdictDefensible reportNo data access

SUBMIT A PROJECT

Submit your AI project.

Six fields. The engine delivers a sourced verdict, without access to your data.

Early Access

We are currently working with a limited number of organizations to validate the final parameters of the decision engine in real-world contexts.

Participants receive priority access to future product evolutions.

0 / 500
Submissions are reviewed before evaluation, to prioritize projects genuinely at the decision stage.

FAQ

Frequently asked questions.

What does the verdict rely on?

Fourteen international standards encoded into the engine, including the AI Act, GDPR, ISO/IEC 42001 and NIST AI RMF, cross-referenced with five evaluation dimensions. The result is reproducible: same project, same verdict. It is not an expert opinion, it is a deterministic evaluation. Learn more about the method.

What happens to my data?

Nothing. The verdict is rendered without any access to your operational data. You describe the project structure, its context and its uses, never the content of your data.

What makes the verdict defensible?

It is dated, sourced against named standards and archivable. It documents the decision and the frameworks that underpin it, so it can be explained, defended and re-examined against the AI Act, ISO 42001 or NIST AI RMF.

How long does it take?

The evaluation workflow takes about 15 minutes. Once the information is submitted, the verdict is delivered in minutes.

Who needs to be involved on my side?

The person who will be accountable for the decision: business lead, innovation, compliance, CIO or CEO. Getting a first verdict does not require mobilizing a team.

Can I submit an AI system already in production?

Yes. The engine also evaluates AI in production, still without access to your data, to determine what should be done with it. The same verdict applies: SCALE to maintain or extend it, FIX to correct it, STOP to retire it.

What if the verdict is STOP?

STOP does not permanently shut down the project. The verdict lists the blocking conditions and the remediations to address, in priority order. It is a list of conditions, not a closed door.