Azure reference architectureTransaction reconciliation and reporting
A Azure reference architecture for transaction reconciliation and reporting in Financial Services. Triggered by end-of-day transaction files land, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching general ledger and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.
AzureRuntime: Azure AI FoundryTrigger
End-of-day transaction files land
Financial Services
Orchestration
Padiso Orchestrator
goals · tasks · heartbeat
Governance
budgets · approvals · audit
Runtime & agents
Agent runtime
Azure AI Foundry
Reconciliation agent
agent
KYC & compliance agent
agent
Monitoring agent
agent
Integrations · MCP
MCP gateway
Your systems
General ledger
Core banking / processor
Bank statement feeds
How the data flows
Trigger: End-of-day transaction files land
- 1
Reconciliation agent matches transactions across the ledger, bank and processor feeds
- 2
It auto-clears matches and isolates exceptions with a suspected root cause
- 3
Exception agent drafts the correcting entry for review
- 4
Adjustments above threshold require human approval before posting
Agent team
- Reconciliation agent
- KYC & compliance agent
- Monitoring agent
Integrations
Reached through the Model Context Protocol, scoped and governed.
Runtime & data
Azure AI Foundry
General ledger
Core banking / processor
Bank statement feeds
Security & operational considerations
- Segregation of duties enforced: agents propose, humans post
- Immutable audit log for SOX / examiner review
- Hard per-agent budgets to bound spend
Azure deployment
Deployed in your Azure tenant on AI Foundry, with Entra ID scoping, Private Endpoints into your VNet, and Azure Monitor for audit and observability.
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