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85% of failed AI rollouts skip these basics. Do not be that statistic.
This is the comprehensive framework we use with every Yes AI client before deploying any AI workflow. Whether you have 5 staff or 500, working through these 47 checkpoints across 6 categories will dramatically improve your odds of a successful AI rollout - and save you the cost of starting over.
The same 47 items, with different priorities depending on your business size.
Start with data hygiene, one workflow, and a single owner. Skip enterprise compliance for now.
Top priorities:
Process readiness and team buy-in are critical. You need formal change management before tooling.
Security, compliance, governance, and integration architecture matter as much as the AI itself.
The framework at a glance - 47 checkpoints across 6 categories.
Walk through each category honestly. Score yourself out of the total per category, then total across all six.
The same 4 mistakes appear in 80% of failed AI projects. Avoid these and your odds improve dramatically.
Teams jump straight to vendor selection without fixing data quality first. AI built on dirty data produces confident but wrong outputs. Spend 2 weeks on data first.
Most failed AI rollouts fail at the human layer, not the tech layer. Budget at least 30% of project time for training, communication, and resistance management.
Teams pick a high-visibility, high-risk process for the pilot to "prove value fast". When it goes sideways, the whole AI program loses credibility. Pick a boring, low-risk workflow first.
Without a named AI champion with dedicated hours, projects drift. "Everyone is responsible" means no one is responsible. Name one person, give them the time.
Set these targets BEFORE you start. Anything else is just "hope as a strategy".
From self-audit to scale decision in 90 days, with clear gates at each stage.
Senior leadership runs through the 47 items, scoring readiness and identifying gaps.
Address the foundational items - data audit, process documentation, AI champion appointment.
Pick a low-risk, contained workflow with measurable baseline. Define success criteria upfront.
Run pilot AI workflow while continuing to close remaining readiness items in parallel.
After 90 days, review pilot results against success criteria and decide whether to scale or iterate.
Three Australian businesses, three different outcomes based on whether they followed the framework.
Followed the checklist and deployed an AI receptionist with a smooth multi-week rollout. No customer complaints and strong staff buy-in within a couple of months.
Skipped the data audit and had to redo the patient record migration mid-project, adding weeks to the timeline. Lesson learned.
Used the full readiness framework with a formal steering committee and saw a strong return, winning new work on the back of its AI capability.
More tools and frameworks for your AI journey.
Week-by-week rollout plan once you are ready.
How to transition from a human receptionist properly.
Decide between AI and an outsourced team.
Get a guided readiness audit from a Yes AI consultant.
Common questions about working through the checklist and what comes next.
Book a 30-minute consultation to discuss your checklist results and agree on the next steps. It is free for businesses with 20 or more full-time staff; otherwise AUD $200 including GST.