AI Readiness Assessment
If it isn't documented, it can't be automated.
No SOPs, no documented workflows, and data trapped in silos: that's where AI projects stall. Find out where your operations stand in ten questions.
Why it matters
The tools are not the hard part
60%
of AI projects not supported by AI-ready data will be abandoned through 2026, according to Gartner.
Gartner press release, Feb 2025 →21%
of organizations using gen AI had redesigned any workflows. McKinsey found workflow redesign had the biggest effect on profit impact, of 25 factors tested.
McKinsey, The state of AI →42%
of companies abandoned most of their AI initiatives in 2025, up from 17% in 2024, in a survey of 1,000+ enterprises.
S&P Global, reported by CIO Dive →
These are surveys and forecasts, mostly of larger companies. The pattern holds at every size: automation multiplies whatever process it is given. Clear, documented processes get faster. Unclear ones get louder.
Free self-check
Is your operation ready for AI?
Ten questions across five areas: written SOPs, mapped workflows, connected data, systems, and ownership. Your lowest area matters as much as your total, because AI stalls on the weakest link.
0 of 10 answered
Area 1 of 5
Written SOPs
AI can only follow steps that exist in writing.
Area 2 of 5
Mapped workflows
Automating an unclear process just makes the confusion faster.
Area 3 of 5
Connected data
Data locked in silos means AI works from half the picture, or the wrong picture.
Area 4 of 5
Systems & handoffs
If people retype data between tools, automation has nothing to plug into.
Area 5 of 5
Ownership & control
Automations without owners and checks drift, and nobody notices until a customer does.
Answer all 10 questions to see your result.
The full assessment
What you get from the AI Ops Diagnostic
2 weeks, fixed fee. From $2,500. The self-check gives you a direction. The diagnostic gives you a plan.
Readiness scorecard
Current state against the state each automation needs, scored area by area.
Gap list
What has to be written down, mapped, or connected before each workflow can be automated.
Workflow opportunity map
Your workflows ranked by impact, risk, and effort. Not everything should be automated.
Baselines
Time per task, cost per unit, and error rate, so results can be measured against your own numbers.
Governance baseline
Owners, an approval matrix, and a check for AI tools your team already uses on their own.
90-day roadmap
Fix the foundations, pilot one workflow, then scale, in that order.
Get the AI Readiness Assessment for your business.
A 20-minute operations call. We look at where your team's hours go, what's written down, and whether AI is the right fix yet.