Owner
A named business owner carries value after go-live. The technical owner should not be the only accountable person.
AI operations
AIperations is a simple operating home for the practical discipline that turns AI demos into adopted, measurable, governed work.
The discipline
The prototype answers whether the system can do something useful. AI operations answers whether the organisation can own it, trust it, improve it, and measure it inside real work.
A named business owner carries value after go-live. The technical owner should not be the only accountable person.
The real work changes. Roles, handoffs, exceptions, training, support, and manager time are designed before scale.
Pilots pass through a release gate that checks value, data, controls, adoption, escalation, and stop conditions.
Usage, overrides, incidents, resistance, cycle time, quality, and benefit movement are reviewed on a fixed cadence.
Operating rhythm
Keep the page simple: one workflow, one owner, one release gate, one review rhythm. Then learn in public enough for the next initiative to get sharper.
What business KPI should move, who owns it, and what current workflow will change?
Set the technical owner, business owner, RACI, decision rights, training plan, and escalation route.
Review at 30, 90, 180, and 365 days. Tune, scale, pause, redesign, or stop with evidence.
Release gate
A simple gate makes the hidden work visible before AI is declared production-ready.
Start small
Best first use: a pilot that has already impressed people technically but has not yet proved ownership, adoption, controls, or measurable value.