Ongoing partnership
Senior AI direction, at a fraction of a full-time hire.
A monthly engagement: roadmap, oversight, and accountability for outcomes, not just output.
| Fractional partner | Full-time hire | Consultant | Agency | |
|---|---|---|---|---|
| Cost | Monthly retainer | Full salary + benefits | High day rates | Project fees + markup |
| Commitment | Month to month | Permanent | Per engagement | Per project |
| Work | Strategy and hands-on | Hands-on | Advice, rarely builds | Builds, less strategy |
| Continuity | Same partner, ongoing context | Yes | Ends with the engagement | Rotating team |
| Speed to start | Days | Months to hire | Weeks | Weeks |
The short version: senior AI direction and hands-on execution, month to month, without hiring a full-time AI lead.
Drawn from real patterns we have solved, not a named client. It shows exactly how we would approach the problem and the outcomes we design for. The working demo above is the proof you can try.
Context
A growing SMB wanted to adopt AI across customer service, finance, and operations but had no internal AI leadership and no time to vet vendors.
Problem
Scattered experiments, no roadmap, and no one accountable for whether any of it delivered ROI. The risk was spending on tools that did not stick.
Approach
A monthly fractional engagement: four working sessions, a prioritized AI roadmap, vendor and tool evaluation, implementation oversight, and async support between sessions, with continuity of context across projects.
Outcome
- Three systems shipped in the first quarter, sequenced by ROI rather than hype.
- A standing roadmap leadership could see and steer.
- The team learned to spot and scope AI opportunities themselves.
What this means for you
You get senior AI direction at a fraction of a full-time hire, with a clear roadmap and someone accountable for outcomes.