Practical AI governance for organizations of roughly 10 to 150 employees
AI Governance That Works in Practice.
Your team is already using AI. The guidance and workflows haven't caught up. Applied Momentum helps you decide where AI belongs, put practical guidance in writing, and build workflows your team can use consistently.
You're not behind.
The tools moved faster than most organizations' policies and day-to-day practices. Informal, inconsistent AI use is common at this stage of growth — you are not the only leader trying to catch those pieces up, and it does not mean your team is behind.
Applied Momentum brings 30 years of hands-on training-development experience to the work of turning new tools into clear operating practice.
The Plan
A practical plan, not a curriculum.
Applied Momentum doesn't open with a curriculum. It opens by finding out where your team actually stands, then builds a plan around the work your people already do.
See what is happening.
Identify where AI is already being used and which workflows matter most.
Put the right system in place.
Establish practical guidance, human-review points, and repeatable operating steps.
Train and maintain it.
Teach the people doing the work, and keep the system current as tools and needs change.
That's the whole plan. There is no required path through it — some organizations stop after step one. The detailed, five-stage delivery process — how each step actually gets built, and where this work stops (not legal advice, IT security work, or a compliance certification) — lives on the Services page.
See the Full Governance Process →What Changes
You gain visibility. Your team gains a clear, repeatable way to work.
Nothing here requires disrupting how your team already operates. Here's the difference between AI use that isn't governed and AI use that is.
| Before | After |
|---|---|
| Leadership cannot see how AI is being used | Leadership has a clear view of approved uses and review points |
| Each employee invents a different method | The team follows documented workflows |
| A policy exists separately from the work | Guidance is built into the way the work gets done |
| Training ends with information | Training ends with a process people can repeat |
That shift is what governance actually buys you — not more AI, a better way of running the AI you already have.
AI becomes a managed part of the business.
Not a loose experiment running in the background. Your team knows where AI belongs, how to use it, and when human judgment takes over. Leadership has visibility, and the work stays consistent — trained, not just informed.
See what that looks like for your team, or talk it through first.
A few common questions.
Is our team too small for this?
No. Practical AI governance is built for organizations of roughly 10 to 150 employees — the size where informal AI use is already happening, but a full enterprise program does not fit.
Do we need a written policy before anyone uses AI?
No. Waiting for a finished policy is why most teams stay stuck. Applied Momentum starts by seeing how AI is actually being used, then builds guidance around that real work.
What happens if we wait?
Nothing dramatic, usually — just more inconsistent output and small cleanup jobs that add up. Most organizations act once that cost becomes visible, not after something goes wrong.