An AI Roadmap for Mid-Market Companies
The AI roadmap your board has been asking for.
You know AI matters. You are just not sure where it fits. We build the strategy first, so your next move is the right one.
No long contracts. No obligation. No vendor pitch.
The Real Problem
Most companies are already using AI. Very few have made it count.
The gap is not belief. It is execution. Teams are experimenting at the edges with no strategy tying it together, no internal expertise to lean on, and no clear place to start.
That is the exact problem we solve.
- 91%
- of mid-market firms already use generative AI
- 25%
- have it integrated into core operations
- 70%
- say they need outside help to get real value
- 92%
- hit challenges when they try to implement
Sources: RSM 2025 Middle Market AI Survey (n=966); National Center for the Middle Market, 2025.
The Framework
Seven steps to a roadmap you can actually act on.
Most companies skip straight to picking tools. That is why most AI initiatives stall. We work the problem in order, starting with the business and ending with the tools.
Revenue vs Cost Centers
- 01
Revenue vs Cost Centers
Start with the business model. Where does money come in, and where does it go out. This shows where AI can move the needle fastest, in language your board already speaks.
- 02
Current Limiting Factors
Name what is genuinely slowing the business down today. Not what is trendy. The real friction your teams live with every day. This becomes the north star for everything that follows.
- 03
Identifying Key Workflows
Map the specific processes that sit inside those limiting factors. Get granular. The more specific you are here, the better every decision that comes later.
- 04
Mapping Your Digital Footprint
Inventory the systems and tools behind those workflows. This is where shadow systems, redundancies, and gaps come to light, and where the conversation often changes.
- 05
Picking AI Tools
Only now do we evaluate tools, and only against the workflows and gaps already identified. This is where most companies start. It is also why most of them fail.
- 06
Governance and Change Management
Sort out data privacy, compliance, and the human side of adoption. Boards are asking for this more and more. You should have an answer ready.
- 07
Hiring and Capability Roadmap
Build the talent plan around the tools and workflows you have committed to, not the other way around.
The companies winning with AI right now are not the ones moving fastest. They are the ones who did the boring strategic work first.
Why This Offer Exists
The mid-market has been left to figure this out alone.
Enterprise vendors chase Fortune 500 budgets. SMB tools are too light to handle real operational complexity. That leaves companies like yours in the middle.
You have enterprise-level complexity, no in-house data science team, and no partner built for your size. We built this offer to close that gap.
How It Works
The roadmap first. Implementation only if you want it.
Stage One
The Roadmap.
We work through the seven steps with your team and hand you a clear, prioritized AI roadmap grounded in your business. A short, focused engagement with a concrete deliverable that is yours to keep, whatever you decide to do next.
Stage Two
Implementation. Optional.
If you want help executing, we deploy and integrate the tools from your roadmap into your operations. Most of the value, and most of the work, lives here. The roadmap stands on its own, so there is no pressure to continue.
Common Questions
Questions before you book.
What do we actually walk away with?
A clear, prioritized AI roadmap grounded in your business. It maps your real limiting factors, the workflows behind them, the tools that fit, and the order to act in. It is a working document your team and your board can use, not a slide deck that sits in a drawer.
How long does the roadmap take?
It is built to be focused and fast, not a months-long study. We scope the timeline with you upfront based on the size of your operation and how many workflows we work through.
Who needs to be involved on our side?
A few people who understand how the business actually runs. Usually an operations or finance leader plus whoever owns the workflows we dig into. You do not need a technical team or an AI background. That is the gap we fill.
Do we have to continue with implementation?
No. The roadmap stands on its own and is yours to keep. If you want help executing, the same team can deploy and integrate the tools into your operations, but there is no obligation to continue.
Is this a fit for our company?
It is built for mid-market companies with real operational complexity and significant back-office work, in sectors like insurance, financial services, real estate, industrials, retail, and health care. It is a weaker fit for companies that already run a mature in-house data science team.
How is this different from hiring a big consulting firm?
We start with execution in mind, not a report. The roadmap is grounded in your actual workflows and systems, prioritized by impact, and built so you can act on it. And if you want, the same team can implement it, so nothing gets lost between strategy and delivery.
Start with the strategy. The rest follows.
Book a session and leave with a roadmap you can act on.
No long contracts. No obligation. No vendor pitch.