Strategy & Value
Is agent adoption tied to business goals, and do you measure the value?
Agent Readiness Assessment
Measure your agent readiness across the six capability dimensions that separate teams scaling agents in production from teams stuck in pilots. Get your readiness stage, your score, and the highest-leverage move to make next.
What it is
An AI agent readiness assessment measures how prepared your organisation is to build, deploy and run AI agents in production, not whether you can demo one, but whether you can take it from pilot to dependable, governed capability.
This assessment scores six capability dimensions, synthesised from the leading agentic maturity frameworks, and places you on a readiness ladder from Exploring to Agent-Ready. You answer two short scenario questions per dimension, and we return your stage, your readiness score, your weakest dimension, and the single highest-leverage move to make next.
The framework
Readiness is not one number. These are the six capability dimensions the assessment scores, the same ones that decide whether an agent reaches production or stalls in pilot.
Is agent adoption tied to business goals, and do you measure the value?
How capable and autonomous are your agents, really?
Can your agents reach the data and tools they need to act?
Are agents embedded in real workflows, and orchestrated across them?
Do you measure whether your agents are doing a good job?
Do you have the team and the path to run agents at scale?
Take it now
Twelve scenario questions, one at a time. You'll get a read on each dimension as you go, then your overall readiness stage, score, and next move. Calculated in your browser.
Answer engine
An AI agent readiness assessment measures how prepared your organisation is to build, deploy and run AI agents in production. It scores six capability dimensions, strategy and value, capability and autonomy, data and tool readiness, orchestration and integration, evaluation and observability, and operating model and skills, then places you on a readiness ladder from Exploring to Agent-Ready with the highest-leverage move to make next.
Assess AI agent readiness by scoring six capability dimensions against a readiness ladder. Answer two scenario questions per dimension, total the points, and map your percentage score to a stage: Exploring (0 to 25), Experimenting (26 to 50), Operationalising (51 to 75), or Agent-Ready (76 to 100). The assessment on this page does this in about four minutes and returns your stage, score, weakest dimension and next step.
The six dimensions of AI agent readiness are: Strategy and Value, Capability and Autonomy, Data and Tool Readiness, Orchestration and Integration, Evaluation and Observability, and Operating Model and Skills. Together they cover whether agent adoption is tied to value, how capable and autonomous your agents are, whether they can reach the data and tools they need, whether they are orchestrated into real workflows, whether their quality is measured, and whether you have the team and operating model to scale.
Being ready for AI agents means you can move agents from pilot to production reliably: prioritised use cases tied to value, capable and appropriately autonomous agents, clean data and scoped tools, orchestration across workflows, continuous evaluation, and an operating model with named owners and a repeatable path to production. Most organisations sit in the early Exploring or Experimenting stages.
About four minutes. It is twelve scenario questions, two for each of the six capability dimensions, and your readiness stage, score and next step are calculated instantly in your browser.
It is built for the CTOs, CISOs, Heads of AI, enterprise architects, platform engineering leaders, and AI transformation leaders driving agent adoption, anyone accountable for moving AI agents from pilot to production at scale.
It's easy to overestimate how ready you are for agents. Four minutes will tell you your stage, your score, and the one thing to fix next.