Get your teamactually using AI.
AI tools are easy to buy and hard to adopt. The value shows up only when your team actually uses them, every day, with confidence. We run the workshops, write the playbooks, and build the habits that get you there, on the tools you already run.
The tool was never the hard part.
Buying AI is easy. Getting a team to use it well, safely, and consistently is where the value is won or lost. Microsoft and LinkedIn’s 2024 Work Trend Index found 78% of people already bring their own AI to work, yet only 39% have had any training. Two patterns stall most companies.
Bought it, nobody uses it
Licenses go unused, the early enthusiasm fades, and work quietly goes back to the old way. The tool was fine. The habit never formed.
Built it, the team works around it
A custom agent or automation ships, but people do not trust it or know when to reach for it, so it gets bypassed. Adoption, not technology, is the bottleneck.
The result shows up in the returns: most companies still see little measurable value from their AI spend, not because the tools are weak, but because adoption never happened.
The adoption gap is real.
Industry data, not our numbers. It all points the same way: the tools are ahead of the people using them.
of people already bring their own AI to work, and only 39% have had any training. Microsoft and LinkedIn Work Trend Index, 2024.
of companies rate their own AI rollout as mature. The rest are stuck between pilots and real adoption. McKinsey, 2025.
of generative AI projects get abandoned after the proof of concept. Gartner, 2024.
Training that sticks.
Not a generic course. Practical sessions on your tools, your workflows, and your real tasks, delivered onsite, remotely, or as a multi-session cohort, with materials your team keeps.
Live workshops
Hands-on sessions where your team works real tasks with AI, not slideware. Onsite or remote, usually a half to full day, sized to the group.
Build-alongside labs
We build a real agent or automation together on one of your own workflows, so the team leaves with a working asset and the skills to extend it, not just notes.
Custom playbooks
Written guides and prompt libraries for your exact tools and tasks, so the right way to use AI becomes the easy, repeatable way after we leave.
Office hours and support
Standing time for questions as habits form, plus refreshers as the tools and your needs change, so capability keeps growing instead of fading.
Trained for the way they actually work.
Different people need different things. We tailor each track to the role, from the boardroom to the front line.
Leaders and decision-makers
Where AI actually pays off, how to set policy and guardrails, how to read the risk, and how to lead adoption without overpromising.
Builders and power users
Prompting that holds up, agent and workflow design, evaluating and testing outputs, and when to hand a task to automation. The people who build for everyone else.
Whole-team literacy
The practical fundamentals: what AI is good at, where it fails, how to verify an answer, and how to use it safely. The AI literacy everyone else builds on.
Past the workshop, into the habit.
Adoption is where most pilots stall. BCG’s 2025 AI at Work report found people with five or more hours of training are far likelier to use AI regularly. Three things keep your team on the right side of that line.
Train your champions
We coach a small group of power users to support everyone else, own the playbooks, and keep adoption moving after our sessions end. The capability stays in-house instead of leaving with the trainer.
Measure real adoption
We agree on the signals up front: who uses the sanctioned tools each week, which tasks have shifted to AI, and whether the agents you built get used or quietly bypassed. Behaviour change, not attendance.
Reinforce the habit
Adoption is a habit, not an event. Office hours, refreshers, and updated playbooks keep the skills alive as the tools change and new people join.
Confident, not reckless.
Real adoption needs guardrails people actually understand. We bake safe use into the training itself, so speed does not come at the cost of a data leak or a bad decision.
Clear, safe-use rules
Simple written guidance on what to use AI for, and what never to paste into a public tool, so people have a safe default instead of guessing.
Verify before you trust
We teach people to spot a confident wrong answer, a hallucination, and to keep a human in the loop on anything that matters.
Sanctioned tools beat shadow AI
Most shadow AI happens because people have no approved option. Give them sanctioned tools plus training and the risky workarounds drop.
Governing several agents at once, with access control and monitoring in one place, lives in AI Operating Systems. This page is about the people.
From baseline to habit.
We meet your team where they are and build from there. Our approach runs in three moves: assess, tailor, embed. New to all this? Our beginner’s guide is a good first read.
01Assess
We find where your team stands today, which tools they already touch, and the tasks worth augmenting or automating first.
02Tailor
We build the sessions, playbooks, and examples around your stack and your real work, not a generic syllabus.
03Embed
We run the sessions, leave the materials, train your champions, and stay available so new habits hold instead of fading after week one.
Practitioners, not a course catalog.
You learn from people who build this
We build and ship AI systems for clients every day, and the curriculum comes straight from that work, not from a static slide deck. The examples are real and current, and we teach on the tools you actually use. See the kind of work behind it on our results.
What we are, and are not
We do not sell certifications or a fixed e-learning catalog. We are a hands-on partner that gets your team genuinely fluent and then gets out of the way. If a topic needs a specialist, we say so. For how teams actually adapt to working alongside AI, see our take on the AI-enhanced workplace.
Trained on the tools you use.
Vendor-agnostic training only helps if it is on your actual stack. We teach the platforms your team already runs, so the skills transfer straight to the work, not to a generic demo tool.
n8n
Make
Zapier
OpenAI
Anthropic
Google Gemini
ElevenLabs
Python
TypeScript
Next.js
Supabase
AWS
Azure
Vercel
Salesforce
HubSpot
Slack
Airtable
Notion
Monday.com
Stripe
QuickBooks
Twilio
Microsoft 365
Google Workspace
GitHub
Pineconeand many more…
Learn it, build it, or plan it.
Start with strategy
Not sure where AI pays off first? AI Consulting maps the opportunities, and training is what makes the plan stick.
Build the AI
We build the agents and automations your team is training on, in our AI Agent Development practice.
Run it in one place
Once your team is fluent, AI Operating Systems is where every agent and automation runs and is governed.
Real teams. Real work.
“Working with Jesse and Chad has been overall a great experience. They take the time to walk you through new developments in the AI world and how they can be implemented to better serve your company. The Automators are thorough and professional bringing a level of expertise to each process. Would highly recommend to anyone trying to build their business through the use of AI technology.”
“The Automators are my AI strategy partner. I wasn't even sure as to what was possible with AI, but over the discovery call they uncovered areas where I could implement AI. I've already seen a large ROI on my investment, and they continue to be my partner to help me find new solutions for my business. They have the utmost professionalism, and I can't recommend them highly enough!”
“Jesse & The Automators are knowledgeable, forward thinking, and true experts in the ever evolving world of AI and automation. For any business looking to streamline and become more efficient. Reach out to them as one of your strategic partners, you won't be disappointed!”
“Jesse sent me a ready-to-use prompt that was very helpful!”
“Helpful customer service helping me with retell ai”
“Reliable team that went above and beyond!”
What is the difference between AI training and AI enablement?
What is AI literacy?
Why do most AI projects fail?
Who should attend AI training?
Do you train on our own tools and workflows?
What does an AI workshop cover?
How long does AI training take?
Is the training for technical or non-technical teams?
What is an AI champions program?
How do you measure AI adoption?
What is shadow AI, and how does training help?
Turn AI tools into everyday habits.
Free 30-minute call. We'll look at where your team is today, which tools they use, and the fastest path to real adoption.
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