Playbook diagnostic

Is our IT operation actually ready to support AI — or will it buckle under the load?

For leaders preparing to deploy AI, this diagnostic confirms in minutes whether your operation can genuinely execute it — or where it will strain first. It builds a structured view across the five areas that determine operational readiness: whether your IT team has the capacity and resilience to carry the load, whether day-to-day work runs on disciplined process, how quickly you see and respond to problems, how well tools and vendors are actually managed, and whether the team has real headroom to evaluate AI properly instead of just firefighting.

Who this is for

You're a leader preparing to deploy AI and need to know, honestly, whether your operation can execute it. Tickets pile up faster than your team can clear them, critical systems depend on knowledge held by one or two people, changes to live systems happen informally, and nobody is confident there's genuine headroom to evaluate AI properly rather than adopt it in haste or ignore it under pressure.

What it assesses — five capability groups, 15 capabilities

IT Capacity & Key-Person Risk

Whether your IT team can carry the load — matching capacity to demand while avoiding dangerous reliance on any one person.

  • Capacity vs Demand
  • Key-Person Exposure
  • Skills Coverage

Overstretched teams and single points of failure collapse together.

Service Management Discipline

Whether day-to-day IT work runs on defined, repeatable process rather than heroics and habit.

  • Incident and Problem Process
  • Change Control
  • Documentation

Chaos replaces process; outages and rework become routine.

Monitoring & Incident Response

Whether you can see what's happening across your technology estate and act on it before users notice.

  • Estate Visibility
  • Response Speed
  • Out-of-Hours Coverage

Failures go unseen until users and customers suffer.

Tooling & Vendor Sprawl

Whether your tools, licences and supplier contracts are actively managed or quietly accumulating.

  • Tool Rationalisation
  • Licence Optimisation
  • Vendor Management

Sprawling tools and unmanaged vendors bleed budget silently.

Strategic vs Operational Balance

Whether your team has genuine headroom to evaluate AI properly, rather than spending every day firefighting.

  • Firefighting Ratio
  • Project Delivery Capacity
  • Innovation Headroom

Firefighting consumes everything; strategy and AI ambitions stall.

What you get

  • Live dashboard across all 15 capabilities
  • Blind spots and weaknesses flagged explicitly
  • Prioritised, tailored recommendations
  • Unlimited re-runs to track progress
  • Team consensus view via shared link

How it works

  1. 1 Start the diagnostic — nothing to prepare
  2. 2 Respond to structured, expert-validated statements
  3. 3 Review your dashboard the moment you finish
  4. 4 Act on recommendations, then re-run to measure

Frequently asked questions

How long does the Operational Readiness for AI diagnostic take? +

Most people finish in around 9 minutes. You respond to a structured set of statements across the five capability groups, and your dashboard is ready the moment you submit your last answer.

How is this different from hiring a consultant? +

There's no engagement to schedule and no report to wait weeks for. The diagnostic gives you an expert-validated, structured view immediately, and you can re-run it as often as you like to track progress at no extra cost.

Is this just an AI chatbot? +

No. You're responding to a fixed set of statements built around 15 named capabilities, not having an open-ended conversation. The structure is what makes the results comparable across runs and across your leadership team.

Can my IT and leadership team take it together? +

Yes. You can invite colleagues to respond independently and view a consensus dashboard that shows where your team agrees and where perceptions of operational readiness diverge.

What does the output actually look like? +

A dashboard scored across all 15 capabilities, with blind spots and weaknesses called out explicitly and a prioritised list of recommendations for what to act on first before you commit to AI.

Find out if your operation can actually execute AI — in minutes.

Start responding