AI TRAINING
Fractional vs Full-Time AI Capability for SMEs
Leave with a clear hiring model decision and a scorecard to revisit as your AI ambitions grow.
What it covers
This half-day workshop helps SME owners and founders compare the real costs, risks, and trade-offs of agencies, fractional Chief AI Officers, independent contractors, and full-time AI hires. Participants work through a structured scorecard against their own business context, identifying which engagement model fits their current stage. The session blends short presentations with facilitated peer discussion and live scorecard exercises. Attendees leave with a documented decision and a set of trigger conditions for switching models later.
What you'll be able to do
- Complete a structured scorecard comparing agency, fractional, contractor, and full-time AI models against your own budget, timeline, and risk tolerance
- Identify the engagement model that best fits your company's current AI maturity and growth stage
- Define at least three concrete trigger conditions that would prompt you to switch to a different AI resourcing model
- Write a one-page brief to evaluate and onboard an external AI partner or fractional CAIO
- Articulate the hidden costs and dependency risks associated with each model to your leadership team
Topics covered
- Cost comparison: agency retainers vs fractional CAIO vs contractors vs full-time hires
- Speed-to-value trade-offs for each engagement model
- Risk and dependency analysis per model (knowledge lock-in, IP, continuity)
- When fractional AI leadership makes sense vs when to hire
- Scorecard exercise: mapping your business stage to the right model
- Trigger conditions and checkpoints for switching modes
- How to brief and evaluate external AI partners
- Common SME pitfalls when building AI capability
Delivery
Delivered in person or via live virtual session (Zoom/Teams); works best with 4-16 participants from similar company sizes. Includes a pre-filled scorecard template, a model comparison cheat sheet, and a trigger-conditions worksheet. Hands-on exercises account for approximately 60% of session time. A facilitator guide is provided for repeat internal delivery.
What makes it work
- Completing the scorecard with real budget numbers and timeline constraints before the session, not hypothetically
- Involving the person who controls hiring or procurement budgets in the workshop
- Setting a 90-day review date in the calendar immediately after deciding on a model
- Documenting the decision rationale so it can be revisited objectively as AI ambitions evolve
Common mistakes
- Hiring a full-time AI specialist before the organisation has enough structured AI work to keep them productive
- Signing long agency retainers without defining clear deliverables or exit clauses, creating dependency
- Treating a fractional CAIO as a purely technical resource rather than a strategic decision-maker
- Choosing the cheapest option upfront without accounting for knowledge transfer costs when the engagement ends
When NOT to take this
A company that has already signed a 12-month agency contract or made a full-time AI hire in the past three months — the decision is made and this workshop adds no immediate actionable value until the next contract renewal window.
Providers to consider
Sources
This training is part of a Data & AI catalog built for leaders serious about execution. Take the free diagnostic to see which trainings your team needs.