As a Certified Chief AI Officer (CAIO), I help mid-market leaders adopt AI with strategy-first execution—starting with a roadmap, governance, and measurable outcomes before selecting tools. The result: practical AI that improves productivity, reduces risk, and delivers ROI your team can sustain..
“When AI fails, it’s rarely the tech. It’s the missing roadmap.”




The Mid-Market AI Strategic Blueprint is a fixed-scope engagement (typically 4–6 weeks) that produces:
a 3-year roadmap,
an investment model with ROI gates, and
governance + executive ownership for adoption
Close the capability gap with executive enablement + knowledge transfer
Remove adoption friction with roles, cadence, and change management
Result: a plan that survives execution, not just a strategy deck.
Addressing the Talent Deficit: We directly address the critical talent deficiency, where a striking 74% of mid-market executives report a severe lack of in-house AI expertise
Key Outcomes:
Baseline + KPI starter set for one workflow
Top 3 opportunities ranked (impact/feasibility/risk)
1-page “Allowed / Not Allowed” AI + data rules (draft)
Investment framing (Innovation / Transformation / Operations)
Recommendation: Proceed / Pause / Prepare
Best for: Leaders who need proof and clarity before committing to a full roadmap.
Key Outcomes:
12-month roadmap (90-day detail)
Ranked opportunity shortlist (impact, feasibility, risk)
Budget ranges (Innovation / Transformation / Operations)
KPI scorecard + success definitions
Data, security, and tool usage guardrails
Clear recommendation: Proceed / Pause / Prepare
Best for: CEOs/CFOs/C-suite needing swift direction before significant capital commitment.
Key Outcomes:
Ranked opportunity portfolio + sequencing
Vendor-neutral 3-year strategic roadmap
Structured financial investment model
Data readiness + governance assessment
Executive ownership + adoption plan
Best for: Leadership ready to scale beyond pilots, demanding financial controls and governance.
Mid-market businesses are the sweet spot—typically $5M–$50M in annual revenue and ready to tie AI to measurable business outcomes (revenue, cost, risk).
Our Proof-to-Plan Framework™ gives you options. Anywhere from a Snapshot Audit all the way to a comprehensive full-immersion Blueprint Strategy. You can start at the level that matches your readiness. Pick either the Snapshot or Sprint and if you choose to upgrade to the Blueprint within the first 45 days 100% of the fee goes towards the Blueprint strategy.
Snapshot Audit for a (fast diagnostic; Proceed / Pause / Prepare)
Sprint Roadmap (clear direction + priority plan)
Blueprint-A comprehensive AI strategy (full roadmap + governance + budget model)
Depending on the option, deliverables can include: executive summary, prioritized use cases, a 90-day action plan, a 3-year roadmap, governance + data readiness findings, budget framing, and a training/adoption plan
We define boundaries early—what’s allowed, what’s not, and what must stay internal—before anyone starts experimenting. Governance is not optional.
Yes—Audit-Ready ROI Snapshot is designed for exactly that, and it ends with a clear recommendation: explain whether you should Proceed / Pause / Prepare
Unlike other AI agencies that sell a strategy as a lead hook than lock clients into high priced tech solutions, our core offering is a foundational strategy that can be used no matter what direction you choose. We remain vendor neutral. You have complete control on how you want to proceed with the implementation, whether that is done through your own internal team, your current vendors, or new partners. Our team can stay involved as an oversight/advisory role to keep execution aligned to your roadmap—without turning into a biased implementer.
Leadership teams that want employees using AI correctly—fast. Ideal for leaders, managers, and staff who need practical workflows they can apply immediately.
Yes. We tailor examples, exercises, and workflows to your roles, processes, and industry—so it fits how your team actually works.
Through discovery calls, we provide clients a clear AI usage policy up front —what tools are approved, what data is off-limits, and how employees should use AI responsibly to reduce risk.

