Joel Frenette

What a CAIO Actually Owns

A reference for boards and CEOs considering an AI leadership hire, and for what I do when I take on that role.

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Strategy

A prioritized use-case portfolio tied to business outcomes, not a list of technologies to try.

Portfolio

Budget, vendors, and initiatives run as one operating model instead of parallel, competing efforts.

Governance

Guardrails for data, risk, and responsible use that are fast enough not to get worked around.

Adoption

Training and change management so the people doing the work actually use what gets built.

Measurement

A baseline before the first initiative starts, and honest reporting against it afterward.

First 90 Days

1. Listen and Baseline

  • Interview business, technology, and operations stakeholders
  • Inventory existing AI and automation efforts, sanctioned and shadow
  • Establish a cost and performance baseline for priority processes
  • Deliverable: a current-state assessment stakeholders agree on

2. Prioritize and Govern

  • Score candidate use cases against value, risk, and feasibility
  • Stand up a lightweight governance and approval process
  • Set data, security, and vendor guardrails
  • Deliverable: a prioritized roadmap and a governance framework

3. Pilot and Measure

  • Launch one to three pilots against the highest-value use cases
  • Instrument each pilot against the baseline set in phase one
  • Report results and decide what scales, changes, or stops
  • Deliverable: a go/no-go decision backed by measured results

How I Work

AI that produces value, not pilots

A prioritized use-case portfolio, governance that doesn't block delivery, and measurement against a baseline.

Proof: current AI-enabled contact-center transformation on AWS; enterprise AI strategy advisory; TravelFun.ai built from concept to beta.

Technology that supports the plan

Portfolio, budget, vendors, cyber and resilience run as one operating model, not separate fiefdoms.

Proof: 50+ initiatives a year, about $3.4M in annualized operating savings, a 98-center modernization.

An operator who has carried the P&L

Founder-level commercial experience, not just technology delivery.

Proof: co-founder and CTO of a business doing about $5M in annual travel sales with 24+ advisors.

When You Don't Need a CAIO

Not every company needs a dedicated AI executive. If your AI footprint is a small number of well-scoped tools, your CIO or head of engineering already has the bandwidth to own governance, and the business isn't waiting on a portfolio of AI initiatives to prioritize, adding a CAIO title adds overhead without adding capacity. In that case, AI ownership should stay inside the CIO organization, with clear accountability for adoption and measurement. A CAIO earns its place when the number of AI initiatives, the risk surface, or the pace of change outgrows what one technology leader can absorb alongside everything else on their plate.

Let's Talk

If this matches a role you're building or a gap you're trying to close, I'm open to the conversation.

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