Services

Three ways to work together

Most mid-market companies don't need a full-time Chief AI Officer. They need someone who has done this before, can move fast, and won't disappear after the strategy deck.

Executive team reviewing AI strategy and analytics in a boardroom meeting
Service 01

Fractional AI Leadership

For companies that are serious about AI but not ready for a full-time hire.

This is right for you if:
You don't have a CDO, CTO, or Head of AI — and the CEO is currently filling that gap. You've identified AI opportunities but lack someone to own execution.
Scope an Engagement

Mid-market organizations often find themselves stuck: too much opportunity to ignore AI, not enough internal expertise to pursue it safely. I step in as your AI lead — embedded with your team, accountable to outcomes, and able to operate at every level from C-suite alignment to hands-on implementation.

What this looks like in practice

  • Developing and owning your AI roadmap, use case pipeline, and governance framework
  • Leading your data and analytics team or working alongside existing technical staff
  • Managing vendor relationships, tool evaluations, and build-vs-buy decisions
  • Presenting to the board, communicating with regulators, and translating strategy for operators
  • Hiring and enabling internal talent so the capability outlasts the engagement
Service 02

AI Workshops & Use Case Evaluation

For leadership teams and technical teams who need to move from awareness to action.

This is right for you if:
Leadership is misaligned on where to start, or your teams have the tools but aren't using them well.
Schedule a Workshop

I run two types of workshops, depending on whether you need to align at the top or build capability in the middle of the organization.

Executive Strategy Session

A focused half-day or full-day session with your senior leadership team. We map your current operations against AI opportunity, prioritize use cases by value and feasibility, and leave with a clear picture of where to invest first and what to protect against.

  • Prioritized use case inventory
  • Quick-win roadmap
  • Governance and risk considerations
  • Decision framework for build vs. buy

Team Enablement Program

A multi-session program — typically 3 to 6 sessions — for business or technical teams. Designed around your specific context, tools, and goals. Could be analytics engineers learning to build agentic workflows, operations teams learning to prompt and evaluate AI tools, or a cross-functional group working through a specific use case end-to-end.

  • Custom curriculum built around your stack and goals
  • Working prototypes or proof-of-concepts
  • Team capability assessment
  • Enablement playbook for ongoing use
Service 03

AI Product Builds & Implementation

Purpose-built tools for specific problems — or the right off-the-shelf product, implemented correctly.

This is right for you if:
You need a working system, not another recommendation deck. Or you've done vendor selection but stalled on implementation.
Scope a Build

Not every AI problem needs a custom build. And not every off-the-shelf tool actually fits the way your business works. I help clients figure out which situation they're in — and then execute either path well.

Custom Builds

I design and deploy AI products scoped to a specific, high-value problem: a customer service agent that understands your product catalog, a reorder prediction model built on your transaction history, a semantic search layer over your internal knowledge base. Built to production standards, with the data infrastructure and governance to support it.

Recent Results

Customer Service AI AI assistant for query resolution and data entry — projected to free 3.5 FTEs
Predictive Reorder Model Improving campaign performance 80% over baseline
Semantic Search System DialogFlow-based search reducing unclassified helpdesk tickets 80% in first month
CLV Modeling Customer lifetime value models enabling data-driven budget allocation across business units

Implementation & Integration

Already know which platform you want — Vertex AI, AWS Bedrock, a specific SaaS vendor — but need someone who can stand it up properly, connect it to your data, and make sure your team can own it afterward? I manage the full implementation, from vendor security review to deployment to team handoff.

Not Sure Which Fits?

Start with a conversation.

If you know you have a problem but aren't sure which of these is the right entry point — the honest answer is: start with a conversation. A 30-minute call is usually enough to find the right starting point.

Book a Free Discovery Call