Financial AI Orchestration
Deploy autonomous agents for KYC, risk assessment, and customer operations under the strictest financial compliance and security frameworks.
AI Orchestration in Banking
Agentic Orchestration in Banking refers to the deployment of strictly governed AI agents that can automatically parse financial documents, update core banking systems, and flag anomalies, supervised by a deterministic control layer.
Due to FINRA, SEC, and EU AI Act regulations, financial institutions cannot afford hallucinations. Stellaris AOS solves this by turning probabilistic LLM outputs into deterministic, verifiable API calls bounded by human approvals.
KYC & AML Agentic Workflow
Use Case: Automated KYC Review
- Document Ingestion: The Orchestrator routes incoming passports and utility bills to the OCR/Vision Agent.
- Data Extraction: The Vision Agent extracts PII and outputs a rigid JSON schema.
- Verification (Multi-Agent): The Compliance Agent cross-references the extracted JSON against global AML databases (e.g., LexisNexis).
- HITL Escalation: If a partial match occurs, Stellaris AOS pauses the agent. A human compliance officer receives the context, highlights, and audit trail in their dashboard.
- Final Execution: Upon human approval, the DB Agent securely updates the core banking record.
On-Premises & VPC Support
Deploy the Stellaris AOS governance layer directly inside your bank's Virtual Private Cloud. Data never traverses the public internet unnecessarily.
ISO 27001 & SOC2 Architecture
Full compliance with information security management. All agent actions produce an immutable ledger proving what was decided and who approved it.
Frequently asked questions
- What is agentic orchestration in banking?
- It is deploying strictly governed AI agents that parse financial documents, update core banking systems and flag anomalies, all supervised by a deterministic control layer that turns probabilistic model output into verifiable API calls.
- How does an automated KYC review work?
- The orchestrator routes incoming documents to a vision agent, which extracts the data into a rigid JSON schema. A compliance agent cross-references it against AML databases. On a partial match the workflow pauses for a human compliance officer, who sees the context and the audit trail before approving. Only then is the core banking record updated.
- What about FINRA, SEC and the EU AI Act?
- Those frameworks are the reason the control layer exists. Every agent action is bounded by explicit permissions and human approvals, and logged immutably, so the institution can show what the system did, why, and who authorised it.