Ten practical steps, grouped in three phases, to get your business ready for AI — before you spend a dollar on tools, licenses, or consultants. Work through it in an afternoon, print it for your team, and come back when you're ready to build.
Map the work your team actually does.
To build the picture:
Pick three workflows worth automating.
To prioritize what's worth it:
Baseline your numbers first.
To make ROI measurable:
Discuss concerns openly with your team.
To address change head-on:
Be an agent for change and encourage your team to embrace new technologies rather than fear them — most resistance is concern about job security, not the tech.
Get your data out of people's heads.
To give AI real context:
Clean up your customer & contact records.
To stop garbage-in, garbage-out:
Write a one-page AI use policy.
To use AI responsibly:
Audit the tools you already pay for.
To avoid buying what you already own:
Train your team. Name an internal owner.
To build a culture of AI literacy:
Run one small pilot. Measure it. Decide.
To turn readiness into results:
Firms should be proactive in implementing AI and other technologies into daily activities, and not take a wait-and-see approach. Those who fall behind will struggle to catch up.