Fractional AI Team
Choosing a tool is the easy part. Putting AI to work inside a real operation is where teams stall. We embed senior AI experts in your business across several use cases at once, and build the capability your own team will run.
Let’s TalkWhat we do
- AI Engineering
- Business Analysis and Reconstruction
- AI-Based Platforms
- AI Inside Your Marketing Technology Stack
- Enablement and Training
- Fractional Leadership
Secure, governed connections between your systems and the AI suite you choose. This is the foundation everything else runs on, and it is built to your standards rather than a vendor’s defaults.
See the case studyWe map how the work is actually done today, then rebuild the workflow around what AI can carry. Reconstruction is where the return comes from — automating a process that was already broken only makes it faster.
See the case studySelecting, standing up, and running the platforms your team will own. We stay platform-agnostic and choose for your operation rather than for a partnership agreement, so the stack still makes sense after we step back.
See the case studyMost teams are already paying for AI they have never switched on. We audit the martech you license today, activate what earns its keep, and fold it into the same governed approach as everything else.
See the case studyThe capabilities your people run on top of the foundation, taught in plain language. Adoption is a delivery requirement in every engagement, not a workshop bolted on at the end.
Senior expertise across several use cases at once, with no headcount to add. Our experts sit inside your operation, shepherd the transformation, and step back as your own capability takes hold.
See the case studySecure, governed connections between your systems and the AI suite you choose. This is the foundation everything else runs on, and it is built to your standards rather than a vendor’s defaults.
See the case studyWe map how the work is actually done today, then rebuild the workflow around what AI can carry. Reconstruction is where the return comes from — automating a process that was already broken only makes it faster.
See the case studySelecting, standing up, and running the platforms your team will own. We stay platform-agnostic and choose for your operation rather than for a partnership agreement, so the stack still makes sense after we step back.
See the case studyMost teams are already paying for AI they have never switched on. We audit the martech you license today, activate what earns its keep, and fold it into the same governed approach as everything else.
See the case studyThe capabilities your people run on top of the foundation, taught in plain language. Adoption is a delivery requirement in every engagement, not a workshop bolted on at the end.
Senior expertise across several use cases at once, with no headcount to add. Our experts sit inside your operation, shepherd the transformation, and step back as your own capability takes hold.
See the case studyOur Approach
We start inside your operation rather than beside it. Senior experts embed with your team, build the connections between your systems and the AI suite you choose, and teach your people to run what sits on top of it. As their capability takes hold we step back, so the engagement is built to hand itself over.
Three moves, and the handoff they are built for
Build the foundation. Secure, governed connections between your systems and the AI suite you choose.
Enable your team. The capabilities your people run on top of it, taught in plain language.
Shepherd the transformation. Senior experts train your people and step back as your capability takes hold.
What that changes for you: higher operational efficiency, lower functional-area expense, stronger vendor negotiations, more return on work already underway, and one aligned approach to AI.
How it compares
A fractional AI team gives you senior expertise across several use cases at once, with no headcount to add. That is different from hiring an AI lead, where one salary buys one person’s skill set and the cost stays on your books after the build is done. It is also different from a single pilot with an agency — firms running three or more AI use cases in production report roughly four times the return of a single deployment (NMS Consulting, 2026), and partner-built AI succeeds at about twice the rate of capability built inside a company from scratch (MIT, 2025).
Start fractional, decide in month one
Ten hours a month at a $4,000 blended rate, on a twelve-month term you can cancel anytime. If you do not see value in the first month, the price drops to $2,000. That is the entire risk you carry to find out what we can change about how your team works.
Frequently asked questions
How is this different from hiring an AI lead?
You get senior expertise across several disciplines at once rather than one person’s skill set, and you carry no headcount once the capability is in place.
How quickly do we find out whether it is working?
Month one. If you do not see value, the price drops to $2,000 and you can cancel the term.
Do we have to commit to a particular AI platform?
No. We stay platform-agnostic and choose for your operation rather than for a partnership agreement, so the stack still makes sense after we step back.
What happens when the engagement ends?
Your own people run what we built. Enablement is a delivery requirement in every engagement, not a workshop bolted on at the end.
Why work with us
We have worked as embedded, fractional experts since 1995, long before the industry caught up to the model in 2024. AI transformation is the core of what we do, and the block most clients come to us for now. Around that core sits the marketing, design, and technology work that AI still cannot do alone, so one team carries both without a handoff between vendors. Clients who take this path can take as much as sixty percent out of what they spend on their existing agencies.
Let’s talk
Under pressure to do something with AI and not sure where it actually pays back? Let’s talk about putting a fractional team on it.