How I work
Most companies I talk to are in the same position. Leadership has decided AI matters. A few people are already using ChatGPT or Copilot, usually without much guidance. Someone in operations has been asked what the company's AI plan is, and there is no obvious person to answer. IT is at capacity, nobody owns it, and the vendors calling all have a product to sell.
The options from there are usually a permanent hire you aren't ready to make, or a consultancy that wants a six-figure statement of work before anyone picks up the phone. Movemnt.AI is the third option: one person who sits with your teams, figures out what is worth doing, and gets them using it.
Three ways to work together
The AI enablement program usually runs a few weeks, paced around your team's schedule. Week one is a fundamentals session for the whole company, so everyone starts from the same place. After that I work with one department at a time: I sit with the people doing the work, look at what fills their day, and we build prompts and small automations around those tasks. Each team ends up with a handful of things they use every week.
The AI readiness assessment is also fixed scope, a few weeks. For each department I start with a short call with the team lead, and a few people from their team if they'd like to join, to hear where the roadblocks are. Then I do my research. After that we get the full department together for a longer session and work through how things run. You get recommendations back: what's worth automating, which tools or integrations to look at, where data needs cleaning up first, and what not to touch. Most of what I find isn't AI work at all, and saying so up front saves people from buying tools that were never going to help.
Fractional AI support is the ongoing version, on a flat monthly fee, month to month. Anyone on your team books time with me whenever they're stuck, and I either help them build it, point them to a tool that already does it, or tell them it isn't worth doing. Most companies don't need a full-time AI hire yet. They need an expert they can reach out to a few times a month.
Who this is built for
Roughly 100 to 300 employees. Large enough to have several departments, real operational complexity, and genuine data and security concerns, and not large enough to justify building a dedicated internal AI team.
The person who brings me in is usually whoever runs operations: a COO, a VP or Director of Operations, or whoever is currently getting asked what the company's AI plan is. Getting leadership to sign off usually happens on the intro call or a second one, and I'll give you a one-page summary to take into that room. Companies outside the size range with unusual complexity can absolutely be a fit; it's a conversation, not a rule.
What you're buying
Someone who sits with the people doing the work. Plenty of people can answer AI questions. The difference is that a few weeks in, I know your systems, your constraints, who adopts things and who quietly doesn't, what your security team will and won't approve, and which of your problems are AI problems at all. A consultancy restarts that clock every engagement. A new hire takes half a year to get there.
I've also been on the other side of this table for most of my career. Nearly two decades as a solutions architect and sales engineer meant running discovery, designing systems for everyone from small IT shops to Fortune 100 boardrooms, and getting finance, security, operations, and IT to agree on one answer. The technology was never the hard part. The alignment was.
The honest fine print
Working sessions are unlimited. Your team books my calendar as often as they need, solo or as a department. The real constraint is open slots, and I keep the roster small enough that you can usually get time within a day or two.
Large builds are scoped separately. Training, tool selection and integration, strategy sessions, governance and data rules, automations, and working sessions with your team are all included. A production agent integrating your CRM, your ERP, and your document store is a project, and it gets a proper scope and a proper price. That boundary is what keeps the fee honest for both of us.
I'm one person, and I'd rather you hear how that works from me than wonder about it. Everything I produce lives in your systems, from recommendations to playbooks to automations, so nothing is stranded if I'm out. I plan around known time off, and for anything needing more hands I bring in and coordinate implementation partners rather than becoming the bottleneck.
Is it a fit?
If leadership is asking what your AI plan is and nobody internally owns the answer, that's the problem this solves. Book thirty minutes and I'll tell you honestly whether I'm the right person, and what I'd do first if I were.