Operating Model
Business and IT should co-build AI agents
The strongest AI workflows emerge when business teams define the job and IT defines the safe operating envelope.
Quick take
- The business knows the job; IT knows the boundaries.
- Neither side can own the rollout alone without creating a blind spot.
- The shared layer is where approval design, supportability, and launch-readiness live.
Why the split matters
The business team is the only one that can define whether the workflow output is actually useful. IT or platform teams are the ones that understand access, supportability, integration constraints, and what happens when something breaks at scale.
If either side is missing, the rollout gets distorted. You get something clever but unusable, or safe but disconnected from real work.
The practical model
Let the business own the workflow definition, the thresholds, and the operating goal. Let IT own the platform envelope, the access boundary, and the support path. Force both to agree on what blocks launch.
That is how you keep the workflow close to reality without letting the safety layer become an afterthought.
This is how pilots stop being toys
The moment a workflow has a real owner for value and a real owner for safety, it stops looking like a curiosity. It starts looking like infrastructure in progress.
Sources
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About the author
Grail Research Team
Operators studying AI workflows, internal systems
The Grail Research Team writes about AI employees, workflow design, governance, and AI-search visibility with a bias toward operator reality over vendor theater. Learn more about Grail.