Operations teams
Find the recurring work where files, approvals, exceptions, and evidence do not line up cleanly.
- Client and fund onboarding
- Reconciliation and exceptions
- NAV and valuation checks
- Administrator and custodian files
Fontana starts with the seams buyers already recognise: onboarding, analysis, reconciliations, valuation checks, files from administrators and custodians, and governed AI-assisted operations.
Each solution begins with a real operational seam, then applies the same Fontana control pattern: govern the logic, run deterministically, and create evidence as the work happens.
Bring new clients, funds, accounts, feeds, rules, and approvals into a reusable operating pattern instead of rebuilding each onboarding from scratch.
Turn source files, reporting requirements, field-level decisions, and SME knowledge into review-ready operating specifications and evidence.
Detect breaks, assign ownership, route exceptions, preserve evidence, and reduce repeated root-cause analysis across recurring controls.
Run recurring NAV, valuation, and position checks faster while keeping tolerances, approvals, lineage, and replay explicit.
Govern intake, validation, normalisation, mapping, exception handling, and downstream evidence for files that change shape across providers.
Use agents to assist analysis, drafting, and explanation while approved controls decide what can run and deterministic workflows execute.
The overview should let operations, technology, and risk/compliance teams recognise their own pressure points without forcing them through internal product taxonomy.
Find the recurring work where files, approvals, exceptions, and evidence do not line up cleanly.
See where workflow logic, integrations, model use, testing, and replay need a governed execution boundary.
Track the control pattern: owners, approvals, lineage, exception history, replay, and audit evidence by default.
Fontana is not a pile of disconnected point automations. The work varies; the control model stays consistent.
Files, feeds, PDFs, emails, exports, exceptions, and local process knowledge arrive in inconsistent shapes.
Rules, mappings, standards, assumptions, and operating decisions are captured for review and reuse.
Owners, tolerances, approval gates, and exception paths determine what can become accepted process.
Approved workflow logic executes predictably rather than relying on ad hoc judgement or black-box AI.
Breaks are assigned, escalated, explained, and tracked with the surrounding decision context.
Lineage, approvals, replay context, versions, and audit evidence are created as part of the work.