Approach

AI adoption that starts with your people — not your tech stack.

Most AI rollouts fail because they skip the human part. I take the opposite approach: build capability in your team first, prove value fast, then automate what's already working.

Why Most AI Initiatives Stall

The pattern is always the same.

  • →

    Tools before training

    Companies invest in platforms before anyone on the team knows how to write an effective prompt or evaluate AI output. The tool sits unused.

  • →

    Generic rollouts

    Off-the-shelf AI training that ignores how your team actually works. The result: low adoption, wasted licenses, and skeptical employees.

  • →

    Automation without foundation

    Trying to build AI workflows before understanding which processes are actually worth automating — and which aren't ready yet.

The Framework

Crawl. Walk. Run.

Every engagement follows this progression. I don't skip steps, and I don't move to the next phase until the current one is working.

01
Weeks 1–2

Assess & Enable

  • Audit current workflows for highest-value AI opportunities
  • Hands-on prompt engineering training built around your team's actual work
  • First AI-assisted task completed and documented
→ Team comfortable with AI fundamentals and sees the value firsthand
02
Weeks 3–6

Build & Integrate

  • Department-specific AI workflows built around real processes
  • Custom prompt libraries and templates your team will use daily
  • Performance tracking to measure time saved and output quality
→ AI is integrated into daily work, not sitting on a shelf
03
Week 7+

Automate & Scale

  • Automated workflows for validated, high-impact processes
  • Cross-functional AI systems (call intelligence, compliance, etc.)
  • Internal documentation so capability stays in your organization
→ Self-sustaining AI operations that scale with your team

By Function

What your team actually learns.

Customer-Facing Teams

  • Surface account risk signals before they become churn
  • Draft personalized client communications in minutes
  • Build internal knowledge bases that make every rep more effective

Operations & Compliance

  • Automate repetitive documentation and reporting workflows
  • Build RAG systems that pull from approved source material
  • Reduce manual review cycles without sacrificing accuracy

Marketing & Content

  • Generate on-brand content at scale with trained AI templates
  • Extract insights from customer conversations and feedback
  • Build repeatable workflows for campaigns and analysis

Leadership

  • Understand which AI investments will actually pay off
  • Build an adoption roadmap tied to real business outcomes
  • Make informed build-vs-buy decisions on AI tooling

Engagement Options

Two ways to work together.

Every engagement is scoped to your team's size, complexity, and goals.

Workshop

2-week intensive

  • AI workflow audit and opportunity mapping
  • Hands-on team training (up to 20 people)
  • Custom prompt library for your use cases
  • Department-specific workflow templates
  • 30-day follow-up support
Get started →
Most Popular

Advisory + Build

60–90 day engagement

  • Everything in the Workshop
  • Weekly strategy and optimization sessions
  • Custom AI system design and implementation
  • Cross-functional workflow automation
  • Full internal documentation and team enablement
Get started →

Common questions.

  • "We tried ChatGPT. It didn't stick."
    That's the most common starting point I hear. Giving your team access to a tool without training is like handing someone Salesforce and expecting pipeline management. I teach the skills and build the workflows so AI gets used day-to-day — not abandoned after a week.
  • "Our team isn't technical."
    Most of the teams I work with aren't. AI literacy isn't about writing code. It's about knowing what to ask for, how to evaluate output, and where AI fits into the work you're already doing.
  • "How is this different from hiring an AI vendor?"
    Vendors sell you a platform and leave. I build capability inside your team. When the engagement ends, your people own the workflows, the prompt libraries, and the knowledge — not me.
  • "What size companies do you work with?"
    Primarily growth-stage companies (Series A–C) in SaaS, professional services, and regulated industries. Teams that are big enough to benefit from AI but don't have the headcount to hire a full-time AI lead.

Ready to figure out where AI actually fits?

30 minutes. No pitch deck. A real conversation about what's possible and what isn't.

Book a strategy call →