Machine intelligence · Agentic AI · Governed swarm management

Machine-intelligence working framework

Agentic Readiness Assessment

Score only what is operating or evidenced today. The result is calculated in your browser and can be downloaded without transmitting the answers.

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Published Updated Reviewed By LongTermIntelligence.com

Direct answer

How do you assess whether an AI-agent workflow is ready?

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Assess readiness across five independent dimensions: business and workflow, architecture and data, authority and risk, evaluation and evidence, and operations and recovery. A workflow is not ready merely because the model performs well; the surrounding operating system must be supportable and accountable.

  • Use evidence rather than intention.
  • Treat consequential policy failures as hard stops.
  • Reassess after material model, tool, data, policy, or workflow changes.

Source basis: reviewed synthesis of the strategy corpus. Report-derived claims remain subject to the verification boundary in the source library.

Use this assessment when

The workflow is still being selected or designed

This assessment tests whether the business problem, system architecture, authority model, evidence plan, and operating ownership are mature enough to justify an agentic workflow.

  • Use before committing to a framework, model, or production pilot.
  • Treat a weak dimension as a design backlog, not a score to average away.
  • Do not use it as a certification, legal conclusion, or vendor ranking.

Local diagnostic

Score 20 readiness questions

Choose 0–4 for each statement. Results stay in this browser session unless you download them.

Privacy: scoring happens locally in this browser. The theme does not submit or store responses.

Dimension 1

Business and workflow

Is there a measurable, owned reason to use machine intelligence?

1. The target outcome is measurable and has an accountable business owner.
2. The workflow is mapped from trigger through outcome, including exceptions and side effects.
3. A non-AI or simpler automation alternative has been considered.
4. The first release is bounded to a decision and operating envelope.

Dimension 2

Architecture and data

Can the system act through controlled, supportable interfaces?

5. Required data has named sources, quality owners, and provenance.
6. Systems are accessible through controlled APIs, queues, or tool interfaces.
7. Agent roles, state, handoffs, and completion conditions are explicit.
8. Models, tools, and providers can be changed without losing core evidence or policy.

Dimension 3

Authority and risk

Are autonomy and human accountability defined action by action?

9. Prohibited actions and mandatory approval points are explicit.
10. Agent identities and tool permissions are scoped to the task.
11. Financial, time, token, retry, and external-call budgets are enforced.
12. Override, suspension, shutdown, and residual-risk acceptance have named owners.

Dimension 4

Evaluation and evidence

Can readiness and outcomes be tested and explained?

13. Representative normal, edge, adversarial, and degraded scenarios exist.
14. Acceptance thresholds and hard policy gates are set before testing.
15. Runs preserve versions, inputs, state, tool calls, approvals, costs, and outcomes.
16. A proceed, narrow, remediate, replace, or stop decision can be defended from evidence.

Dimension 5

Operations and recovery

Can the system be monitored, contained, recovered, and improved?

17. SLOs and operational owners exist for the full workflow.
18. Operators can detect loops, stale state, policy denial, drift, and abnormal cost.
19. Side effects can be reconciled, compensated, or rolled back from trusted checkpoints.
20. Incidents feed new scenarios, controls, runbooks, and release decisions.

Answer all 20 questions to calculate a result.

Decision framework

Interpretation

Review the lowest dimension and any zero-scored consequential control before considering the overall percentage.

ScoreUse
0–39Discovery or sandbox only. Close fundamental ownership, interface, authority, evidence, and recovery gaps.
40–59Narrow pilot with limited side effects, explicit approval, and a remediation backlog.
60–79Conditionally ready for a bounded release review when hard gates pass.
80–100Evidence supports a formal release review; it does not constitute approval or certification.

Downloadable working files

Take the scorecard offline

CSV template

Agentic Readiness Scorecard CSV

Attach evidence, owner, and remediation to each dimension.

Download CSV

Templates are planning aids. They are not certifications, legal advice, security guarantees, or substitutes for client-specific validation.

Next decision

Review the evidence behind the score

A cross-functional review should challenge assumptions before a production decision.

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