Operating Model Zero
Most AI in financial services is incremental — a copilot bolted onto one task, a saving booked, the operating model left untouched. Operating Model Zero starts from a blank page: design the function around agents from day one, and what emerges isn't the old model run faster or leaner. It's a different model.
Take today's middle office. Add a copilot to one step. Book the saving. The org chart, the controls, the cost base — unchanged. The existing model is slightly faster and slightly more efficient. The shape is the same.
Rebuild from zero. Redraw the function with agents native to the design, not bolted on after the fact: how many people, in what roles, with what controls. Incremental automation is the easy yes — it is not where the value is. The value is in the redesign.
The same work, a different shape.
The work is redistributed. Agents absorb the high-volume, deterministic load; the human layer gets thinner and more senior — judgment, exceptions, and the decisions that carry liability. Accountability for those decisions can't be automated away. It concentrates upward, into fewer and more senior hands. Zero-based means clean-sheet, not unmanned.
A worked example, end to end.
Operating Model Zero, built and running. A working multi-agent system that reconciles FX trades end to end: it reads the counterparty's confirmation, matches it against the book, detects the break, queries the front office, chases the counterparty for an amendment, and validates the fix — leaving the humans to the exceptions and the calls that carry accountability.
Built on a deterministic backbone: the agents do judgment, but the arithmetic and the audit trail are not left to an AI model. Every action is recorded — a control function you can't audit isn't a control.
Sebastien Bietho. Fifteen years leading large-scale transformation inside regulated financial institutions, on a securities-finance trading background. Currently consulting on regulatory-reporting remediation for a Tier-1 Australian institution — and developing a clear, evidenced point of view on what AI actually changes in a financial institution's operating model.