AI training · Curriculum development · Learning assessment
Teach your people to use AI well, and know that they learned it.
OMO Innovations is an educational support services company. We design and deliver practical AI training, build curriculum for training teams and education programs, and measure what people can actually do before and after.
Most organizations do not have an AI tool problem. They have an AI learning problem.
The tools are already there. Your people have them on their phones and in their browsers, and many of them are using AI at work right now.
What is missing is the learning.
One person drafts reports with it. Another has given up after a bad answer. Nobody is sure what is safe to paste in. A manager cannot tell careful AI-assisted work from careless work. The training so far was one webinar, and nobody measured whether it changed anything.
None of that is fixed by buying another tool. It is fixed by teaching people well and checking that it worked.
What we do
AI Training & Workshops
In most organizations AI adoption has already happened informally. People are using whatever they found, in whatever way they worked out, with no shared standard for what is appropriate and nobody checking what gets pasted into a text box. That is not a discipline problem. It is a training gap.
Curriculum & Learning Program Development
Training departments and education programs are being asked to teach AI with material that is out of date before it is printed. Generic courses teach the tool, not the job, and a one-off session leaves no structure for people to keep building the skill.
Educational Consulting
Leaders know their people need AI skills but not which ones, for whom, or in what order. Without a plan, training becomes a scattered set of webinars, spending is hard to justify, and nobody can say whether anything changed.
Learning Assessment & Evaluation
Most AI training is judged by attendance and a satisfaction survey. That shows who showed up, not who can now do the work. Without real measurement there is no way to know which training to repeat, fix or stop.
From trial and error to trained.
Here is the same team, twice. The people and the tools are identical. The difference is whether anyone designed how they learn.
Today
- A team is told to start using AI tools.
- Each person picks a tool on their own.
- People learn by trial and error, with no shared standard.
- Nobody sets rules for what information is safe to enter.
- Skill levels end up uneven across the team.
- Nobody can say whether the team got better at its work.
With OMO
- The team starts with a short baseline skills check.
- Learning needs are identified for each role.
- Responsible-use guidance is set before anyone practises.
- Hands-on training uses realistic tasks from the team’s own work.
- Each person practises on their actual job.
- A manager reviews AI-assisted work with a clear standard.
- Skills are measured again after the program.
- The program lead receives a plain-language results summary.
Nothing in the second version replaces a person’s judgment. It gives people a shared standard, practice on their own work, and a manager who knows what good looks like, so the time spent learning shows up in the work.
How the learning gets built
01 · ASSESS
Find out what your people already know, what they need for their work, and what guidance already exists.
02 · DESIGN
Set clear learning outcomes and build the sessions, materials and practice around them.
03 · DELIVER
Teach with hands-on practice on realistic tasks from the learners’ own work.
04 · MEASURE
Check skills again afterwards and report, in plain language, what changed and what to do next.
What people learn
Programs are built from these topics and shaped to each role. The assessment helps identify where to start.
- AI fundamentals
- Responsible use
- Writing and drafting
- Research and summarizing
- Role-based applied AI
- Reviewing AI-assisted work
- Usage guidance
- Train-the-trainer
- Skills baselines
- Training evaluation
Who we serve
We work with organizations teaching adults: businesses training their own teams, and programs that train people for work.
Businesses & Teams
Your people are already using AI. The question is whether anyone taught them how.
Small businesses · Mid-size companies · Professional services firms · Operations and administrative teams · Sales and customer service teams
Workforce & Adult Education Programs
Employers are asking for AI skills. Most programs are still writing the syllabus.
Workforce development programs · Adult and continuing education · Community and technical college continuing education · Job training and reentry programs · Professional associations
Example programs
Worked examples of the kinds of learning programs we design. Illustrative, clearly labelled, and drawn from common patterns rather than specific engagements.
- Example
Team AI Fundamentals Program
A team starts with a short baseline check, sets responsible-use guidance, practises on tasks from its own work, and is measured again afterward — so the program lead can see what changed rather than who attended.
- Example
Workforce Program AI Curriculum
A workforce program replaces a generic course with a curriculum built on the skills employers ask for: written outcomes, sequenced modules, prepared instructors, practical assessments and a scheduled content review.
- Example
Training Evaluation Cycle
Learners are assessed on practical tasks before and after training, results are summarized in plain language, and the training is adjusted where gaps remain before it runs again.
Where we are
OMO Innovations is a new company. We do not have client case studies to show yet. When we do, they will be here with the client’s permission. What we can show you is how we work, worked examples of the programs we design, and an assessment that will tell you something useful about your own organization.
Start with where your people are today
A short assessment will show where your organization is ready for AI learning and where the gaps are.