How to Drive AI Adoption Across Teams—One Simple Step at a Time

AI isn’t just a trend anymore. AI is everywhere. And yet, many organisations struggle to get their teams to consistently use AI in their day-to-day work. Not because the tools aren’t good. But because habits are hard to change.

What most companies need isn’t more tools, rather they need an AI Evangelist. Someone who can lead the charge internally. Someone who can help everyone move from awareness to actual usage.

Here’s a simple, practical process to make that happen:

Step 1: Appoint Your AI Evangelist

This isn’t a full-time role (yet), but it needs the right person.

Your AI Evangelist should be:

  • Passionate about AI, and already using it themselves
  • Respected internally, with some informal influence
  • Cross-functional, understands how different teams operate
  • A clear communicator, who can explain things without jargon

This person will act as the bridge between AI capabilities and everyday team needs. They’ll nudge, inspire, and track progress.

Step 2: Map Your Teams

Start by listing all the functions in your org:

  • Leadership / Founders
  • Sales
  • Marketing
  • HR / Recruitment
  • Finance
  • Operations
  • Tech / Product
  • Customer Success / Support
  • Admin / Procurement

This gives you a clear structure for rollout and accountability.

Step 3: Identify Low-Friction AI Use Cases

The key to adoption is not complexity, but simplicity.

Pick 2–3 easy, daily tasks for each team where AI can help right away.

Here are examples:

TeamSimple AI Use Cases
SalesProposal drafts, email writing, call summaries
MarketingBlog outlines, Social media posts, campaign ideas
HRJD creation, policy drafts, resume summaries
FinanceExcel formula help, report summaries
OpsSOP creation, inventory updates
ProductFeature documentation, bug report summaries
SupportResponse templates, customer satisfaction surveys
AdminEvent checklists, asset tracking notes

You don’t need advanced automation; just help people save time and get better output using prompts.

Step 4: Launch “Try This Week” Tasks

Instead of formal training, make it simple to get started:

  • Share 1–2 AI tasks per team each week
  • Provide ready-to-use prompt examples
  • Ask team heads to confirm usage
  • Do quick live demos if needed

This removes friction and lowers resistance. The idea is to get people to just try it.

Step 5: Track Usage and Nudge Consistently

This is where momentum builds. 

Plan Weekly Check-In meeting. Ask team leads:

  • Did your team use AI last week?
  • For what tasks?
  • Any wins?
  • Share small success stories across the org to build confidence and FOMO.

Usage Data: Pull analytics from your AI tools (if available) to track

  • Which teams are using AI regularly
  • Who the top users are
  • Who might need support

Use this data to guide the next set of nudges to steer further usage.

Step 6: Reinforce the Habit

Behavior change takes repetition. Here’s how to build it into the culture:

  • Add “AI Tip of the Week” to internal meetings
  • Highlight team wins in your chat groups or newsletters
  • Run monthly fun contests (e.g., best AI-generated email)
  • Maintain a simple AI Use Case Library or internal prompt book

The goal is to make AI a normal part of work—not a special event.

Your Phase 1 Goal

By the end of this rollout, every team should be:

  1. Using AI for at least 1–2 daily or weekly tasks
  2. Seeing direct benefits in time saved or quality improved
  3. Starting to build their own confidence in using AI tools

This is the foundation. From here, you can build more advanced layers like AI champions, team-specific training, or automation agents. 

Final Thought

AI adoption isn’t a tech project. It’s a behavioral transformation.

And like any transformation, it needs a champion.

  • Find your AI Evangelist.
  • Start small.
  • Stay consistent.
  • And soon enough, using AI will be as natural as sending an email.