Fractional CAIO vs Fractional FDE: How Richard McKellar Deploys AI in Growing Businesses
6 min read
Growing businesses know they need AI. They just don’t know who should lead the charge — or what “leading the charge” even means. Two roles have emerged as the primary models for AI leadership in mid-market companies: the Fractional Chief AI Officer (CAIO) and the Fractional Forward Deployed Engineer (FDE).
Richard McKellar offers both. Here’s how they differ, how they work together, and how to decide which one your business needs.
What Is a Fractional CAIO?
A Fractional Chief AI Officer provides the strategy, governance, and executive alignment that AI adoption requires. Think of it as the “where should AI go and why” function.
The CAIO works with C-suite leaders and department heads to:
- Define an AI vision aligned with business objectives
- Stand up an Executive AI Council for governance
- Prioritize use cases by business impact and feasibility
- Select vendors and models
- Measure ROI through decision-gated 90-day cycles
Richard McKellar’s CAIO practice uses the C.A.P.™ Operating Model (Council → Align → Perform), a repeatable framework for mid-market AI transformation. The output is a prioritized roadmap with governance, not a stack of tools.
Best for: Companies that need AI leadership, governance, and executive alignment without a full-time $200K+ hire.
What Is a Fractional FDE?
A Fractional Forward Deployed Engineer builds and deploys AI agents into your existing systems. This is the “make AI actually work in our stack” function.
The FDE works with operators, IT teams, and frontline staff to:
- Audit every workflow for AI opportunity
- Design and build custom agents on existing platforms (Salesforce, NetSuite, HubSpot, custom APIs)
- Deploy from shadow mode to production
- Measure time saved, risk reduced, and revenue gained
Richard’s FDE practice follows the Audit → Evaluate → Deploy methodology — the same approach Palantir pioneered with engineers embedded in client operations.
Best for: Companies that need AI agents built and deployed on their existing systems, fast.
How They Work Together
The CAIO ensures you’re building the right things. The FDE ensures they ship. Most growing businesses eventually need both:
- CAIO sets the roadmap — governance, priorities, vendor selection, 90-day plan
- FDE ships the systems — agents, automations, integrations, runbooks
The two roles share intelligence: deployment data from FDE informs the CAIO roadmap, and CAIO strategy guides FDE priorities. Together, they cover the full AI adoption lifecycle from boardroom to production.
Side-by-Side Comparison
| Fractional CAIO | Fractional FDE | |
|---|---|---|
| Primary Focus | Strategy, governance, executive alignment | Implementation, deployment, iteration |
| Who They Work With | C-suite, department heads, board | Operators, IT, frontline teams |
| Output | AI roadmap, policies, governance charter | Deployed agents, automations, workflows |
| Methodology | C.A.P.™ Model (Council → Align → Perform) | Audit → Evaluate → Deploy |
| Pricing | Starting at $5K per 90-day cycle | $7.5K diagnostic · $20K-$40K pilot · $12K-$25K/mo |
| Best For | Mid-market companies needing AI leadership | Companies needing agents built on existing stacks |
How to Start
Not sure which one you need? The $999 AI Audit is the lowest-friction entry point. It covers 1 workflow in 1 system over 5-7 days, and you get a findings document with a clear recommendation: CAIO, FDE, or Capital & Advisory.
Book a 30-minute scoping call or compare CAIO vs FDE in detail.