Banking solutions

Production-grade AI for financial services.

Agents that own outcomes in core banking workflows, grounded in governed knowledge of how your bank really works. Built on the Telosforge Agent Platform. Ready to plug into your ecosystem, fast to first value.

Solutions in our portfolio

Core-domain solutions for financial services.

Disputes and chargebacks (cards)

Agentic execution embedded in the workflow to improve cycle time, investigation quality and SLA performance.

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Risk and sanctions for corporate clients

Data-driven automation of risk analysis and assessment, with explainability and oversight patterns for regulated traceability.

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Investment advisory (pro and HNW)

Governed knowledge and traceable reasoning to support investment decisions with auditable evidence.

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What Telosforge banking solutions mean

Core workflows, not copilots.

E2E processes, not copilots

Agents own outcomes and escalate by decision rights.

Value-anchored outcomes

One primary KPI with a P&L linkage.

Governed knowledge

Traceability and auditability by design.

Compliance posture

Explainable outputs with human supervision patterns.

Spotlight: risk and sanctions for corporate clients

Built for safe, fast underwriting.

Move beyond screening tools and pilot purgatory. Embed agentic AI into the corporate risk workflow to reduce cycle time, raise decision quality and deliver audit-ready evidence. Under your governance, your risk appetite and your SLAs.

Deliver "Time to Yes" without compromising control.

Corporate risk and sanctions work is high-friction: fragmented data, manual checks, inconsistent narratives and endless back-and-forth. Our solution standardizes execution with Know, Reason, Act agentic patterns, and makes every decision explainable.

The solution is a workbench for analysts and supervisors. It orchestrates data, policies and actions across the underwriting lifecycle: from due diligence to rating, limits, monitoring and remediation.

Reduce Time to Yes

From client event to decision-ready proposal, faster.

Quality and control

Traceability and consistent risk appetite, fewer operational errors.

Productivity

Tasks automated, less rework for analysts and reviewers.

Continuous assessment

Event-driven updates for monitoring and early warnings.

Built for regulated production

Explainability by default

Every recommendation includes the evidence used (documents, data points, signals), the reasoning steps and the control path: approval, override or escalation.

  • Decision evidence packs and citations
  • Data lineage and model run trace
  • Policy-aligned guardrails and thresholds
Outcome-driven operations

KPI-aware orchestration

Work is routed dynamically to optimize the KPIs you care about: cycle time, quality, error rate, SLA compliance and control coverage. Not just model accuracy.

  • Kill and scale gates, readiness checks
  • Human-in-the-loop patterns for exceptions
  • Value tracking connected to operations

See the workbench in action.

Multi-branch and multi-entity under one bank umbrella. Role-based UX with a single source of truth, watch-lists, review queues and evidence-backed decisions.

COCKPIT, GEOGRAPHIC RISK, CLIENT HUB, EVIDENCE TRAILIllustrative

Analysts assemble the decision context fast: exposures, signals, sanctions flags and required documentation, with structured outputs ready for review.

CASES42

in my queue

FLAGS3

sanctions hits

SLA96%

on time

From first KPI uplift to safe scale.

Evidence-first rollout: prove value fast, industrialize with controls, then scale across products, regions and volumes.

0 to 90 days

Prove KPI movement

Pick one core flow, for example underwriting of Oil and Gas corporates. Measurable uplift on 1 or 2 KPIs: operating costs, capital efficiency, operational risk.

90 to 180 days

Audit-ready MVP in production

Go live on a real slice with governance: HIL escalation, logging, evidence packs, monitoring and fail-safe behavior.

180+ days

Scale across the bank

Expand to adjacent processes and portfolios on the same controls and data foundation, for more leverage and consistency.

Ready to move beyond pilots?

Pick one corporate risk segment. We will prove KPI movement in 90 days. Governance-grade agentic execution, aligned with your policies, risk appetite and audit requirements.

90 and 180-day commitment

From evidence to production in 180 days.

Prove movement on 1 or 2 business KPIs in 90 days. Then run an MVP on a constrained live slice by 180 days, with audit trails and human-in-the-loop patterns.

First 90 days

Evidence pilot with KPI movement

  • Choose a core process and define the KPI and P&L linkage
  • Redesign end to end with decision rights and guardrails
  • Build a production-credible pilot with an evaluation harness
  • Produce audit-readiness artifacts and an oversight view
By 180 days

MVP running on a constrained live slice

  • Run with real users and validate SLAs and adoption
  • Human-in-the-loop checkpoints and exception handling
  • Audit trails: decision logs, trace IDs, versioned policies
  • Scale plan: segments, regions, portability, operating model
Guardrails designed to support your EU AI Act obligations: privacy and security controls and lineage defined, fail-safe behavior through thresholds, fallbacks and escalation paths.

What it takes to scale agentic GenAI into the core.

Four pillars: domain expertise, core criticality, reasoned decision-making, and sovereign control with a compliance posture.

Domain decision expertise

Encode process know-how, policies and decision logic. Not just prompts.

Core workflow criticality

Target high-stakes workflows where outcomes move the P&L.

Reasoned, testable decisions

Explainable and verifiable. Clear rules for when to act and when to escalate.

Sovereign control and compliance

Traceability, audit evidence and human supervision, designed for regulatory scrutiny.

Methodology

From charter to a steady-state operating mode.

A design-thinking-like method to deliver GenAI-enabled solutions and capture value for the business.

01

Align and charter

Agree the transformation intent and how value will be measured.

02

Discover and diagnose

Prove real value and feasibility in the chosen process.

03

Design

Redesign the process. Specify agents that own outcomes, not tasks.

04

Build and prove

A production-credible pilot showing KPI movement and risk control.

05

E2E pilot in production

Real users on a constrained slice. Adoption and SLAs validated.

06

Scale and industrialize

More segments and regions. A reusable capability.

07

Operate and improve

Sustain value and compliance over time.