Operating model
Design the operating model before scaling agentic AI.
Use this checklist to align leadership, business owners, technology, risk, and operations around how AI capabilities will be governed and improved.
Every control needs an owner and evidence.
For each checked item, record who owns it, what evidence exists, and when it is reviewed. For example: Who approves a new agent? The service owner signs off the test results, permissions, and rollback plan before release.
If any business owner, review gate, incident route, or quality threshold is missing, close that gap before expanding the rollout. When these are documented, use the workflow scorecard to decide the next pilot scope.
Use the workflow readiness scorecardWorksheet
Use the resource against one real workflow.
Select the checks you can support with evidence, then print or save a PDF for your working session. Selections are not submitted or saved to an account.
Assign who owns the business outcome, platform path, engineering roadmap, governance decisions, and adoption cadence.
Define how workflows are selected, scored, prioritized, approved, and sequenced into delivery.
Create a review cadence for answer quality, model behavior, human feedback, exceptions, and retraining decisions.
Treat agentic AI rollout as workflow change, not only technology deployment.
Define who monitors, supports, triages, improves, and retires capabilities after launch.
Decide when a workflow can expand to another team, region, product, customer segment, or platform module.
Decision path
Turn the worksheet into an action path.
Use the output to choose whether the next step should be advisory, engineering, workflow automation, EvoPort rollout, operating support, or additional discovery.
Name business, technology, risk, and operating owners before building.
Use consistent criteria to prioritize workflows and avoid disconnected pilots.
Measure quality, adoption, exceptions, and operating value on a visible cadence.
Expand only when controls, support, and platform fit are ready.
Service path
Choose the smallest responsible next move.
The right next move may be an advisory workshop, a production engineering path, a workflow automation build, an operating model design, or EvoPort platform implementation.
Book AI Adoption Workshop- Use advisory when the workflow, value, or owner is not yet clear.
- Use engineering when the first workflow is defined and ready to build.
- Use EvoPort when apps, agents, approvals, observability, and repeatable rollout are needed.
- Use operating support when adoption, support, and measurement need a steady cadence.
Next step
Book AI Adoption WorkshopBring the worksheet into a Nebula9 workshop.
Nebula9 can use it to map the workflow, controls, delivery path, operating cadence, and EvoPort fit.