Know where you stand.
Then close the gap.
Three practitioner-led services, assessment, implementation, and fractional leadership, for organizations that are serious about getting AI transformation right.
Assessment. Implementation. Leadership.
Each service is designed to meet organizations at a different stage. They work as a sequence or stand alone, depending on where you are.
A structured diagnostic that measures your organization's AI readiness across 8 critical dimensions. You receive a scored analysis, a clear gap picture, and strategic guidance on where to move, all grounded in stakeholder interviews and real documentation review, not a self-assessment survey.
See the assessment →The gaps are identified. Now close them. An embedded implementation partnership where I work directly alongside your engineering team to execute the roadmap: building the data infrastructure, tooling, governance, and team capability your AI ambitions actually require.
See the Solver →A VP of Engineering embedded in your leadership team on a fractional basis: owning AI strategy, guiding architecture decisions, leading technical teams, and providing the engineering voice your board and executive table need during transformation.
See Fractional CAIOO →Most organizations are investing in AI without knowing where they stand.
The pressure to move on AI is real. But moving without a clear picture of your organizational readiness is how budgets disappear and initiatives fail.
Flying Blind on Investment
Budget is committed to AI transformation without anyone measuring the organizational gaps that will determine whether the initiative succeeds or fails.
Building on Shaky Foundations
AI features get shipped while the underlying data infrastructure, tooling, and team capabilities sit far below what's needed to sustain them in production.
No Engineering Voice at the Table
AI strategy is set by executives who don't have the technical depth to evaluate it; it is implemented by teams who don't have the organizational authority to push back on bad decisions.
Eight dimensions. One score. Complete clarity.
Every organization's AI readiness is the product of eight interconnected dimensions. The assessment surfaces exactly where you stand, and what it means for your transformation trajectory.
Data Infrastructure
Is your data accessible, trustworthy, and governed in a way that makes AI systems reliable? Most initiatives fail here first.
Technology & Cloud
Does your infrastructure support AI workloads? API-first architecture, cloud maturity, and compute capacity all determine what's feasible.
Engineering Capability
Does your team have the ML skills to build, ship, and maintain AI in production, not just prototype it in a notebook?
AI Literacy
Can your non-technical teams effectively use, trust, and provide feedback on AI tools? Adoption is the last mile.
Strategy & Sponsorship
Is there aligned executive support, dedicated budget, and clear ownership? Without sponsorship, no AI initiative survives the first obstacle.
Use Case Clarity
Have you identified where AI creates measurable business value, and how to prioritize and evaluate it? Generic AI investment burns money.
Governance & Risk
How are you managing AI safety, bias, compliance, and security? One incident can set an organization back years.
Culture & Change
AI transformation is organizational change, not just technology change. Is your culture prepared to work differently?
Where does your organization land?
The organizations that need this most are already feeling the pressure.
These services aren't for organizations that are curious about AI. They're for organizations that are committed to it, and need a partner with real engineering experience to help them execute.
Large Organizations (1,000+ employees)
Preparing for a board-mandated AI initiative and needing a credible, evidence-based picture of readiness before committing significant capital, and someone accountable for helping close the gaps.
Teams That Have Invested, But Aren't Seeing Returns
You've adopted the tools. You've run the pilots. The results are inconsistent. You need a practitioner who can diagnose what's blocking you, and help fix it.
Scaling Companies Without a Technical Co-Founder
Facing competitive pressure and moving fast, but without senior engineering leadership to own the AI strategy, evaluate vendors, and make the architectural calls that will matter for years.
Not sure which service fits? Start with a conversation.
Tell me where your organization is and what you're trying to figure out. I'll respond personally within 48 hours and we'll work out what makes sense.
Get Started →