Data & AI · 8/2/2026 · 6 min read
AI needs an operating model, not a pilot
The gap between a promising demo and dependable production is governance, data lineage and ownership — not model quality.

Pilots are easy. A capable model, a willing team and a narrow dataset will produce something impressive within weeks. The difficulty starts when the output has to be trusted by someone accountable for it.
Data lineage is the real prerequisite
Before capability, establish where each input came from, who may see it, and how long it may be retained. Without that, every deployment becomes a bespoke legal conversation.
Name an owner
Each model in production needs a named business owner, a defined review cadence and an agreed way to switch it off. Systems without an owner drift until they are quietly distrusted.
Design for the human in the loop
The highest-returning deployments we see do not replace judgement; they compress the time it takes to exercise it. Build the review surface with the same care as the model.
