Senior credit and risk leaders reviewing lending policy together in a bank meeting room. Illustrative generated scene.

Helios for Banking

what’s next?

Grow the loan book. Without growing the wrong risk?

Test credit policies before they reach your customers.
You define the outcome. Helios finds the path.

Banking

Test credit policies before they reach your customers.

Growth, capital and customer outcomes are connected. Explore credit and pricing strategies against your portfolio, risk appetite and policy constraints.

Meet Helios Brain

Grounded in your reality

01Risk appetite

02Capital requirements

03Customer and credit policy

Explore the Helios experience

Banking

DEMO

AI-generated, hypothetical plans. No live business data, verified professional advice or real actions.

Start with a decision

Do not enter sensitive information. Prompts are processed by AI and temporarily retained for this demo.

Choose a question or write your own goal0/5 steps connected

01
Define the outcome
02
Connect dependencies
03
Compare routes
04
Check constraints
05
Human approval

Choose a question or enter your goal.The AI will create five steps and three distinct routes.

ClearPressureBlockedAssumptionDependencyApproval gateEvidence

Helios across your ecosystem

From risk policy to the next customer case.

Credit committees, analysts and banking operations work at different levels of authority. Their context should connect without their responsibilities becoming interchangeable.

Decision authority

Credit committee & risk leadership

Set risk appetite, approve lending policies and authorize material exceptions within the bank's governance framework.

Helios supports

Compare capital, portfolio and customer consequences before a policy is approved.

A credit operations specialist reviewing a case with a Helios context panel embedded in a banking workstation. Illustrative generated scene. — Credit operations & compliance

Inside existing banking systems

Context at the point of review.

A case reviewer can inspect evidence and policy constraints where the work already happens, without taking ownership of bank-wide credit strategy.

Appropriate scope: Investigate cases and process actions within delegated policy limits.
Review & escalation: Authorized credit reviewers and the relevant risk authority for exceptions.
Evidence returned: Case outcomes, policy exceptions and observed portfolio behavior.

Illustrative ecosystem and interfaces, not a live deployment. Roles, integrations and approval limits are defined with each organization.

From question to decision

See the options. Understand the consequences.

Compare credit policy alternatives

Ground the comparison in your data, your objective and your constraints.

Inspect segment-level consequences

Make dependencies and assumptions visible before you commit.

Bring evidence to the credit committee

Carry the chosen path into a plan your team can review and act on.

Where to start

The decisions worth rehearsing.

Potential applications, scoped to your data, priorities and operating environment.

Credit policy changes

Run the proposed change against your real customer portfolio before you announce it. See which segments are affected. Project default rates under multiple economic scenarios. Identify the customers who will be unfairly impacted before they become a regulatory case.

Lending decisions at scale

Test pricing strategies, eligibility criteria, and risk appetites against your actual borrower base. Compare a dozen variations. See which protects margin without breaking compliance.

Portfolio rebalancing under stress

Run your portfolio through historical and synthetic crises. See where the exposure concentrates. Find the rebalance that holds up across the scenarios you care about.

Regulatory submission preparation

Before submitting to the regulator, see how your decision will read. Identify the questions you will be asked. Have the answers ready.

Branch network rationalization

When closing branches or expanding to new geographies, see the downstream impact on customer retention, deposit flows, and community standing. Avoid the decisions that look efficient in spreadsheets but cost trust over decades.

Mergers and acquisitions due diligence

Test combined portfolios under stress before announcing the deal. Identify the regulatory friction points. See where customer overlap creates concentration risk that integration will not solve.

Anti-money-laundering policy calibration

Adjust thresholds and rules without losing nights to false positives or missing real risks. See exactly which customers would have been flagged under any proposed policy, and what the regulatory exposure looks like.

What it takes to start

A useful pilot starts with the right foundations.

Agree a bounded decision, a baseline and acceptance criteria before introducing operational use. Scope and timing depend on your data, governance and intended application.

The data

De-identified portfolio and policy history
Capital, concentration and risk-appetite limits
Outcome labels, exceptions and data lineage

The people

Credit-policy sponsor and risk committee representative
Portfolio-data and model-validation specialists
Compliance, privacy and customer-outcome reviewers

The evaluation

Agreement and differences against historical policy reviews
Exposure and customer-impact sensitivity
Evidence traceability and correct exception escalation

Before operational use

Lawful data access and privacy assessment
Independent model and policy validation where applicable
Versioned approval, controlled release and rollback procedures

When Helios should not act

Knowing when to stop is part of the decision.

Missing evidence, uncertain conditions and absent authority require different responses. A recommendation must not silently become an action.

The signal

Exposure data cannot be reconciled to its source.

Appropriate response: Request reconciliation and suspend the policy recommendation.
Responsible review: Portfolio-data owner and risk validation
Before the path resumes: The relevant exposure and outcome evidence is validated.

The boundaries matter

Your rules are part of the model.

Regulatory context shapes how a system should be designed and reviewed. Your legal, compliance and domain teams remain part of that process.

EU AI Act compliance for high-risk credit decisioning systems

GDPR Article 22 right to explanation for automated lending decisions

DORA operational resilience testing for critical decision systems

Basel III capital adequacy stress testing with auditable provenance

Context for implementation, not a certification or guarantee of regulatory compliance.

Trust and governance

Connected challenges

A different world. The same question.

Explore all 15 industries

Investment leaders reviewing asset, mandate and risk dependencies together at a meeting table. Illustrative generated scene.

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Sovereign Wealth

Bring your decision · Banking

Start with the decision that matters to you.

The outcome, the boundaries and the people responsible. A focused starting point for a conversation about your organization.

Use high-level descriptions only. Do not include confidential, personal, patient, financial-account or classified information.