LLM agents engineered for regulated banking systems

Resolve your entire technical debt backlog with banking-native AI agents.

LedgerMind AI turns fragmented core banking, compliance, and data platforms into a continuously modernized software estate. Our domain-specific LLM agents understand banking workflows, legacy constraints, and audit-grade delivery.

Start the debt teardown Explore use cases

ISO-ready workflows Human-in-the-loop control Banking ontology embedded

agent-swarm.log


              > ingest COBOL, Java, SQL, API specs
              > map debt to banking capabilities
              > generate controlled remediation plan
              > 4,812 debt items triaged
              > 287 safe refactors queued

68% faster remediation cycles

24/7 agentic debt monitoring

Debt discovery

Legacy modernization

Regulatory traceability

Agentic remediation

Banking domain reasoning

The platform

Purpose-built agents for the systems banks cannot afford to break.

Generic copilots stop at code suggestions. LedgerMind AI orchestrates specialized agents that reason across applications, controls, data lineage, business rules, and change governance.

Banking-aware code intelligence

Agents connect source code to lending, payments, KYC, AML, risk, and treasury capabilities, making technical debt visible in business terms.

Controlled remediation pipelines

Every proposed refactor comes with impact analysis, test strategy, rollback guidance, and approval gates for engineering and compliance teams.

Continuous debt observability

Dashboards track debt density, aging dependencies, architecture drift, and remediation ROI across squads, products, and critical banking services.

Use cases

Deploy agent swarms where legacy friction slows the bank down.

Core banking modernization

Reverse-engineer legacy modules, surface hidden dependencies, and produce sequenced migration plans from monoliths toward composable services.

Plan a modernization sprint

Regulatory remediation

Identify gaps between regulatory obligations and implementation reality, then generate traceable fixes, documentation, and control evidence.

Map compliance debt

API and data lineage cleanup

Detect brittle integrations, duplicated data transformations, and undocumented flows across customer, account, payment, and risk data domains.

Untangle the estate

Automated documentation recovery

Reconstruct business rules, architecture diagrams, interface contracts, and operational runbooks directly from code, tickets, logs, and repositories.

Recover lost knowledge

Operating model

AI speed, banking-grade governance.

Your teams keep control. Our agents prepare the evidence, propose the change, and execute within the guardrails you define.

Scan

Repositories, architecture docs, tickets, controls, dependency graphs.

Reason

Debt is ranked by risk, domain impact, system criticality, and delivery cost.

Remediate

Agents generate patches, tests, documentation, and review-ready evidence.

Prove

Every change is tied to approvals, traceability, controls, and measurable ROI.

The founding team

Built by AI engineering and banking product specialists.

Co-founder, CTO

Damien Borie

AI expert focused on agent architectures, secure automation, and production-grade LLM systems for complex enterprise environments.

Co-founder, CPO

Paul Subra

Banking domain expert and agent creator, translating financial workflows, compliance pressure, and product strategy into deployable AI systems.

Private beta

Ready to turn technical debt into a controlled execution roadmap?

Bring us one repository, one legacy workflow, or one painful audit trail. We will show how a banking-native agent swarm can map, prioritize, and start resolving it.

Book a technical audit