Is Your Organization Ready for Agentic AI?
Eighteen scored questions across six dimensions agentic AI actually exercises — process clarity, data and tool access, guardrails, identity, monitoring, and value capture.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Agentic AI is the next move past copilots — software that doesn't wait for a prompt, but plans, calls tools, and acts on its own to complete a task. The distinction matters: a copilot suggests, a human decides; an agent decides, and someone has to make sure that's safe. That single shift cascades through an organization. The systems an agent touches need to be reachable through tool use, function calling, or the Model Context Protocol. The workflow has to be defined precisely enough for the agent to plan against. The agent needs its own identity — not a borrowed credential — scoped to the minimum it needs. Every decision needs an audit trail. And someone has to measure the outcomes against the human baseline to decide whether the agent stays.
Most organizations are not ready for any of that, and the gap rarely shows up in the technology itself. It shows up in undocumented workflows, brittle integrations, shared admin credentials, no observability, and no way to tell if an agent is actually earning its place. This free assessment scores your organization across six dimensions agentic AI actually exercises and returns a clear readiness profile in about seven minutes. It's built from 27 years of technology leadership across Fortune 500 and growth-stage companies — the same lens a fractional Chief AI Officer would bring to your first conversation about deploying production agents.
What the agent readiness assessment measures
Agent readiness is a profile, not a single number. The assessment scores six dimensions independently so you can see where you're strong and where the gaps are: Workflow Clarity (are your processes documented well enough that an agent could execute them), Tool & Data Access (can an agent reach the systems and data it needs without breaking least-privilege), Guardrails & Boundaries (have you defined what the agent can and cannot do unsupervised, with stop conditions and fallback paths), Identity for Agents (can you grant, scope, and revoke agent identities like you do humans — short-lived tokens, OAuth scopes, per-action authorization), Observability & Audit (can you see what an agent did, why, and reproduce its decisions), and Value Capture & ROI (are you measuring agent outcomes against the human baseline). The final question maps the specific workflows — support, IT, sales ops, finance, engineering, research — where agents pay off first.
What makes agentic AI different from copilots
A copilot is a suggestion engine: it drafts, you decide. An agent is an actor: it plans a sequence of steps, picks tools, calls APIs, and changes state in your systems. That difference reshapes everything that has to be in place. Copilots can succeed in an organization with no formal identity model, no observability, and no defined workflows — because a human is in the loop on every action. Agents cannot. The same workflow that a copilot makes 30% faster, an agent has to be able to run end-to-end, which means every implicit decision the human used to make has to become an explicit branch in the workflow, every tool the human used has to be callable by the agent, every approval the human got has to be modeled as a guardrail or human-in-the-loop step, and every action has to be logged in a way that lets you debug it later. Organizations that try to move directly from no AI to autonomous agents skip the substrate work and stall. The ones that succeed treat the substrate as the first deliverable.
What you get at the end
You'll see an overall agent readiness score, a band that describes where you stand (from Pre-Foundation through Execution-Ready), a per-dimension breakdown across workflow, access, guardrails, identity, monitoring, and value, and a map of your highest-leverage agent opportunities across support, IT, sales ops, finance, engineering, and research. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a fractional Chief AI Officer engagement would do for your organization's agent program. No generic sales deck.
Frequently asked questions
What is an AI agent readiness assessment?
It's a structured evaluation of whether an organization has the substrate — documented workflows, tool and data access, guardrails, scoped agent identities, observability, and ROI measurement — to successfully deploy autonomous AI agents in real workflows. Rather than measuring whether the technology works, it measures the preconditions that determine whether agent programs reach production and earn their place.
How is agentic AI different from a copilot or chatbot?
Copilots suggest and humans decide on every step. Agents plan, call tools, and act on their own to complete a task. That shift requires workflows precise enough for an agent to plan against, callable tools through function calling or MCP, scoped agent identities with short-lived credentials, defined autonomy boundaries with fallback paths, and observability over the agent's reasoning and tool calls. Most organizations can deploy copilots without any of that. None can deploy agents without it.
Who is this assessment for?
It's built for CAIOs, CTOs, COOs, heads of automation, and engineering leaders evaluating whether their organization can support autonomous agents in production — and what to fix first if it can't. It's especially useful for teams that have seen success with copilots and are deciding which workflow to hand to an agent next.
How long does the assessment take?
About seven minutes. It's 18 scored questions across six dimensions — workflow clarity, tool and data access, guardrails, agent identity, observability, and ROI — plus a final workflow-mapping question across support, IT, sales ops, finance, engineering, and research. Your progress auto-saves, so you can leave and resume without losing answers.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.