Automation for financial processes

The governed operating layer for financial operations and AI.

Replace manual processes, spreadsheets, and disconnected systems with governed AI-driven workflows.

Fontana data analysis view with markdown report, metrics tables, and AI analysis charts
Fontana Learn dashboard with guided workflow examples for validation, transforms, and imports
Fontana workflow canvas with governed node graph for end-of-day reporting
Built for

Asset managers, fintech platforms, banks, custodians and fund administrators.

Operations teams

  • Faster client and fund onboarding
  • Evidence generated as work runs
  • Cleaner exception management
  • Reusable operating logic
  • No-code configuration for operating rules

Technology teams

  • Integration patterns for existing systems
  • Deterministic execution boundary
  • Model and agent routing controls
  • No-AI mode where required
  • Programmable workflows for automation
The operating problem

Every platform works in isolation. The breaks happen in between.

The risk sits between systems. That is where data is interpreted, mapped, checked, approved, and evidenced. Stop running operations on spreadsheets, email, and memory.

Timeline reduction

  • T+1
  • 24/5

Less time to identify, route, resolve, and evidence operational breaks as settlement cycles compress and markets move toward always-on operations.

Regulatory pressure

  • Transaction reporting
  • DORA

EMIR, ASIC, transaction reporting, and DORA increase pressure on traceable data, controls, vendor oversight, and operational resilience evidence.

AI governance

  • Safe adoption of AI

Auditability and safe deployment are now prerequisites before AI moves into production: prompts, outputs, model routing, approvals, and execution boundaries must be logged, reviewable, and defensible.

Fontana logo as 3D transparent glass, tilted 30 degrees on transparent background
Solution architecture

One control layer.
One knowledge graph.
One audit trail.

Fontana captures reusable operating logic, governs AI assistance, executes approved workflows deterministically, and preserves evidence by default.

Inputs

  • Order management systems
  • Portfolio management systems
  • Accounting systems
  • Administrator platforms
  • Custodian files
  • Reporting systems
  • APIs, SFTP, warehouses
  • PDFs, spreadsheets, emails

Fontana

Knowledge Graph

Policy and approval gates

Deterministic workflow execution

Reconciliation and exception control

Model and agent governance

Lineage, versioning, replay, and audit

Outputs

  • Governed workflows
  • Validated checks
  • Resolved exceptions
  • Evidence packs
  • Reusable specifications
  • Audit trails
  • Operational reports
  • Controlled AI-assisted runs