Agentic AI Readiness Assessment
Evaluate how ready your organization is for AI-driven automation.
Agentic AI — systems that act autonomously on multi-step tasks — requires more than a good model. It requires clean accessible data, connected systems, repeatable processes, and leadership commitment. Without these, AI agents produce unreliable outputs or fail to deploy at scale.
This assessment evaluates your organization across five readiness dimensions and returns a score from 0–100. You will see which gaps are holding you back and what to address before committing to an AI agent roadmap.
Select your industry
What This Assessment Measures
- Data Foundation — Is your critical business data digitised, centralised, and accessible for analysis? AI agents cannot operate reliably on paper records or siloed spreadsheets.
- Systems Integration — Can your applications exchange data via APIs or automation layers? Agent workflows break at every disconnected system boundary.
- Decision Automation — Do you have repeatable, rule-driven processes? AI agents learn fastest from structured, high-volume decisions with defined outcomes.
- Leadership Culture — Does leadership allocate budget and set strategic direction for AI initiatives? Adoption stalls without executive ownership.
- Governance & Security — Do you have compliance and data governance policies for AI usage? Ungoverned agents create audit and liability exposure.
Frequently Asked Questions
How is the score calculated?
Scores are weighted by industry — a manufacturing firm and a fintech are assessed differently. Each of the five domains contributes to your total out of 100, with domain weights tuned to reflect where AI agents create the most leverage in that sector.
What if I score "Not Ready Yet"?
A low score identifies specific gaps — typically in data centralisation or integration maturity — that would limit AI agent performance. It tells you exactly what to fix before investing in AI tooling, which is more valuable than a falsely encouraging result.
Who should take this?
Business leaders, operations heads, and technology decision-makers at mid-size enterprises evaluating AI agent investment. Also useful for IT and engineering teams building the internal case for AI modernisation.
How long does it take?
Approximately 3–5 minutes. Seven steps cover your industry, role, current AI usage, process maturity, data readiness, and five domain checks. Progress is saved in your browser so you can return to it later.
Is my data stored or shared?
Your responses are saved locally in your browser. Nothing is transmitted to our servers unless you choose to contact us.
Can ITMTB help us close the gaps identified by this assessment?
Yes. ITMTB's enterprise modernisation and agentic AI practice addresses exactly the gaps this assessment surfaces — data foundation, systems integration, and decision automation. Book a discovery sprint to get a structured roadmap for your business.
Most mid-market firms score below 55 on first attempt.
The gaps are almost always in data infrastructure and systems integration — not in leadership intent. Our enterprise application modernisation practice fixes exactly these layers. See how we modernise enterprise foundations for AI or book a discovery sprint.