Domain
A shared operating view helps teams understand AI workflow status, ownership and review needs.
AI operations brings ownership, evaluation, oversight and practical support into everyday use.
The approach is a shared operating view and documented review process that helps people manage workflow status and exceptions.
Built the read-only operations console and the governance lane, and ran the AI Champions programme; the agent fleet itself is owned by its runtime owner.
Every figure shows where it came from; a failed data read shows as unknown, never as zero structural
Control Read-only artefact: the emailed console is built read-only and verified at build time structural
05 Governed workflows with verifier gates
The operating layer for scaling AI workflows safely.
AI role Models write commentary. They never decide a figure.
In daily useOutcome Shared oversight AI workflows are visible through a governed operating view current
Maps executive questions to a fixed set of certified figures. The model never writes a query or invents a number.
Deterministic rubric checks, a small-model judge only on ambiguous cases, a hand-labelled calibration set and a cost boundary asserted in tests.
Independent reviewers, blind cross-ranking and a chair verdict, including a second-model-family code review, used before decisions and diffs ship.
Workshops and coaching that take teams through understand, map, co-design, build, test, adopt and empower, with champions identifying the next opportunity themselves.
Reusable skills support documented workflows, review boundaries and handover.
A chief-of-staff model routing work to specialist roles, with a plan gate, stop-and-ask triggers and a session closeout that writes decisions, learnings and open issues.
Scheduled flows that refresh workbook queries and export files, with documented platform limits and a one-button alternative when they bite.