Score one workflow before turning it into an AI program.
Use this scorecard to decide whether a workflow should move to advisory, engineering, automation, EvoPort rollout, or more discovery.
Give every rating a reason.
On smaller screens, scroll the table horizontally to compare all rating levels.
| Area | Weak | Emerging | Ready |
|---|---|---|---|
| Business value | No owner or outcome | Owner identified; baseline missing | Owner, baseline and success measure agreed |
| Data readiness | Sources or permission unknown | Sources known; quality or access gaps remain | Authorized sample and quality checks available |
| Review ownership | No accountable reviewer | Reviewer named; escalation incomplete | Review, override and escalation agreed |
| Engineering fit | First release undefined | Prototype scope drafted; dependencies unclear | Narrow scope and testable acceptance criteria |
| Governance fit | Access or policy boundaries unclear | Controls drafted; approval outstanding | Controls and change owner agreed |
| Scale potential | No operating owner | Owner named; support or measures incomplete | Support, adoption measures and scale trigger agreed |
How to use the result
Any unresolved access, policy, or review-ownership gap means more discovery before production. Mostly emerging: define a small prototype and close the gaps. All areas ready: plan a scoped pilot with acceptance tests. This discussion aid is not a security approval or a guarantee of success.
Illustrative example: bank onboarding
Business value is ready when the onboarding owner has a baseline for manual review time. Data readiness is emerging if the document sample is available but access approval is outstanding. Review ownership is weak if nobody is accountable for KYC exceptions. Result: resolve access and reviewer ownership before a pilot; do not average away those gaps.
Start with the adoption checklistUse 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.
The workflow has visible operating value, enough recurrence, a clear owner, and a decision or action that can improve.
The source systems, documents, metrics, permissions, quality gaps, and evidence boundaries are understood enough to start.
The team knows who reviews AI output, approves actions, handles exceptions, and accepts operational risk.
The first release can be scoped into a useful app, agent, automation, analytics surface, research workflow, or integration path.
The workflow has enough control design to avoid scaling a fragile or unreviewed AI capability.
The pattern can become a template, reusable playbook, specialist agent, EvoPort workflow, or broader operating model.
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.
Rate each readiness area as weak, emerging, or ready using a real workflow.
Choose advisory, prototype, production build, EvoPort rollout, or more discovery.
Narrow the first release to one outcome, one user group, and a visible review path.
Define the cadence for measuring adoption, exceptions, quality, and value after launch.
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.
Bring the worksheet into a Nebula9 workshop.
Nebula9 can use it to map the workflow, controls, delivery path, operating cadence, and EvoPort fit.