Figure out where AI actually belongs.
Before you build, decide what’s worth building. FM finds the highest-leverage AI opportunities in your business and hands back a roadmap you can execute — with us, with another partner, or in-house.
- Who it’s for
- Mid-sized companies starting with AI, or stuck after early experiments.
- What FM delivers
- Operational assessment + workforce enablement, with a prioritized roadmap.
- Engagement length
- 4–8 weeks for assessment; ongoing for enablement.
What is AI Adoption?
AI adoption is the work that comes before you build anything. It’s mapping how your business runs today, identifying where AI actually fits, and giving your team the language and frameworks to evaluate tools without falling for the hype.
Most companies skip this. They roll out ChatGPT licenses, run a few pilots, and end up with scattered experiments that don’t compound. The result is energy spent without leverage gained, and a team that’s increasingly skeptical of the whole project.
FM treats AI adoption as a planning discipline, not a kickoff event. We learn how your business runs across your tools and your people. We find where time and money are leaking. You walk away with a prioritized plan you can actually execute.
When do you need AI Adoption?
- AI is being used ad hoc across your team with no shared playbook.
- Your pilots work in demos but stall at rollout.
- Leadership wants an AI strategy that isn’t a vendor pitch deck.
- You’re deciding whether to buy or build agentic systems.
- Your team is anxious about AI and needs frameworks, not another demo.
When you don’t.
- You already know what to build. Skip to Agents & Automations or Custom Software.
- You want a deck. FM delivers plans that get executed.
- You’re already shipping agents and internal tools. You need build capacity, not an assessment.
- You want a one-off training. Real enablement takes more than a workshop.
How does FM approach AI Adoption?
AI Adoption is consultative work, not engineering work. FM uses a set of frameworks and methodologies — not a stack of software — to figure out where AI belongs in your business and what your team needs to use it well.
Tools and frameworks FM uses
AI Maturity Assessment
Places your organization on a maturity curve from ad hoc experiments to systematized leverage. Sets a shared baseline for what "good" looks like at your stage.
Operational Mapping
A structured walk through how your business actually runs across tools, teams, and processes. The basis for every recommendation FM makes about where AI fits.
Opportunity Scoring Rubric
A consistent way to evaluate AI use cases on ROI, effort, dependencies, and reversibility. Replaces opinion-based prioritization with a comparable rubric.
Build vs. Buy vs. Train Decision Framework
For each opportunity, a structured way to decide whether to build custom, adopt existing tools, or invest in training your team. Avoids defaulting to the most expensive option.
Workforce Readiness Diagnostic
Measures where your team is on AI literacy and identifies the gaps that need to close before any rollout will stick. Role-specific, not generic.
Adoption Playbooks
Concrete patterns for how specific roles — sales, ops, marketing, exec — actually use AI in their day-to-day work. Living documents, not training slides.
What an engagement looks like
Operational Assessment
- Process map of how your business runs today, across tools and teams
- Time-and-money leak analysis: where the work of knowing is most expensive
- Prioritized opportunity list, each scored for ROI, effort, and dependencies
- Recommended build sequence — what to do first, second, and never
Workforce Enablement
- Role-based playbooks for sales, ops, marketing, exec — whoever needs them
- AI evaluation framework your team can apply to future tools without FM
- Working sessions on your team’s real work, not toy examples
- A baseline AI policy and governance recommendation, drafted with you
Claude Enablement
Get your team running on Claude. FM are Claude Enablement Specialists — rollout, training, and the patterns that turn it into daily leverage.
Custom AI Knowledge Bases
Your team's knowledge, searchable and conversational, without leaking it into someone else's training data.
Content Operations
AI-powered content production that scales without adding headcount. Plan, draft, and ship without burning out your writers.
Frequently asked questions.
How much does an AI adoption engagement cost?
Pricing depends on scope and team size, so FM shares a specific range after a 30-minute scoping call. As a frame of reference: assessment engagements are typically four to six weeks of focused work; enablement is structured as a retainer or per-cohort.
Who participates from our side?
Assessment needs access to leadership plus four to eight operators across the teams whose work is most likely to change. FM does focused interviews and shadowing — usually 30–60 minutes per person. Enablement involves whoever will actually use AI in their day-to-day work.
What do the deliverables actually look like?
For assessment: a written report plus a prioritized roadmap, with each opportunity scored for ROI, effort, and dependency on other work. For enablement: role-specific playbooks, an AI evaluation framework, and live working sessions on your team’s real work. Nothing that sits in a SharePoint folder.
Will our data stay private?
Yes. FM signs NDAs, works in your environments where possible, and recommends models with no-training guarantees (Claude API, ChatGPT Enterprise, and similar) for any work that touches sensitive data. Data flow is documented in every recommendation.
What if we’re not technical?
That’s the most common case for AI adoption work, and it’s fine. FM doesn’t expect your team to know AI inside out — the job is to translate between the technology and the business so you can make confident decisions.
How is this different from a McKinsey-style AI strategy engagement?
FM delivers plans that get executed, not decks that get filed. The consultants are also the builders, so what FM recommends is grounded in what’s actually feasible in 4 weeks versus 4 months. And pricing is engagement-based, not headcount-based, so there’s no incentive to expand scope.
Ready to talk about AI Adoption?
Reach out and we’ll set up a conversation. No hard sell, no decks — just a working session to see whether FM is the right fit.