The AIIM Assessment
The questions about AI you haven't been able to answer yet.
Most leaders aren't short on AI ideas. They're short on clarity, about their people, their processes, their data, and what happens to the organization they've built. The AIIM Assessment is the instrument we use to work through that, one dimension at a time.
What the assessment works through
Seven places where uncertainty quietly stalls AI.
Each one is a conversation we've had with leaders more times than we can count. None of them are technology problems. All of them decide whether AI works in your organization.
01
Mission, values & change culture
Are you unsure how AI will change who you are, and whether the things that made you successful to this point survive the shift?
02
Job architecture
Do you know what your teams will actually look like in two years, and how people will do their jobs when the work is shared with AI?
03
Skills & competencies
Do your people have the skills to do the work, and the confidence that they'll be supported to learn? Or do you need to bring new capability into the organization?
04
Operating model
How do you operate across functions, and where does the role of the human begin and end once AI is in the workflow?
05
Process integrity
Worried your processes aren't great today, and that automating them will only multiply what's broken? Not sure how to improve things before you automate?
06
Data & technology
Are you confident in the quality and reliability of your data, and that your current tech stack is genuinely the right foundation for what comes next?
07
Governance & risk
Are you concerned about compliance, accountability, and the risk of introducing AI in a world where the rules aren't settled yet?
Why it matters
Clarity first. Then a plan you can actually commit to.
The assessment isn't a scorecard you file away. It's a structured way to surface what you already suspect, test it against evidence, and turn scattered concerns into a purposeful plan, one that reflects the organization you want to become, not whatever the market is selling this quarter.
We run it as a facilitated engagement with your leadership team, so the hard conversations happen in the room rather than in a report nobody reads.
A shared, honest baseline
Leaders stop arguing from opinion and start working from the same picture of readiness.
The blind spots named out loud
Where people, process, data or governance will break before the technology ever does.
A deliberate line on where AI doesn't belong
Choosing what stays human is a strategy decision, not an oversight.
A sequenced 90-day plan
What to fix first, what to build next, and what to leave alone until you're ready.
What the assessment surfaced
"It made us aware of our blind spot. We'd been focused on picking tools, and the assessment showed our people simply weren't ready. We fixed that first, and adoption went much better."
— Managing Partner, professional services firm
"It identified exactly where we needed to button up governance. Our board had questions we couldn't answer, and now we have clear guardrails on privacy, approval, and accountability."
— Executive Director, 60-person organization
"The most useful outcome was deciding where we won't use AI. There's work where what our staff bring is the value, and we made that a deliberate choice instead of an accident."
— COO, 140-person organization
Common questions
AIIM Assessment FAQs
What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether your organization can absorb AI, not whether the technology works. It looks at mission, job architecture, skills, operating model, process integrity, data and governance, and produces a score per dimension plus a prioritized plan.
How long does an AI readiness assessment take?
A facilitated assessment for an organization of 40 to 500 people typically runs two to four weeks end to end, including leadership sessions, a short document review, and the readout.
Do we need clean data before we start?
No. You need to know where your data is dirty. The assessment surfaces which data problems block your first use case and which ones can wait, so you are not paying to clean everything at once.
Who should take part?
The people who own the work: an executive sponsor, the functional leads whose processes are in scope, whoever owns IT and data, and someone from HR or people operations. Five to eight participants is the usual range.
What do we get at the end?
A readiness score across the seven dimensions, a heatmap of where risk concentrates, a named list of blind spots, an explicit decision on where AI will not be used, and a sequenced 90-day plan.
Start the conversation
Take the first step toward AI that actually makes sense for your business.
Book a free 30-minute discovery call. No pitch, no jargon, just a candid conversation about where AI fits, what to do first, and how to make it count.