The gaps are identified.
Now close them.
The AI Readiness Solver is an embedded implementation partnership. I work directly alongside your engineering team to execute the transformation roadmap: building the infrastructure, tooling, governance, and team capability your AI ambitions actually require.
Implementation, not just advice.
Most engagements end with a report. The Solver starts where a report ends. The gaps in your AI Readiness Score represent real work that needs to happen: data pipelines that need to be built, governance frameworks that need to be established, teams that need to be upskilled. The Solver does that work.
This isn't consulting from a distance. I'm present in your engineering planning, reviewing your architecture decisions, pairing with your team on high-stakes implementations, and holding the roadmap accountable. The engagement is scoped to the specific gaps identified in your assessment, and sized to what your organization can actually absorb and act on.
Start with an Assessment →"Most organizations know what needs to change. The gap is between a document that says so and a team that actually changes it."
Follows the Assessment
The Solver engagement is most effective when preceded by the AI Readiness Assessment. The assessment identifies the gaps; the Solver closes them. Organizations that already have a clear picture of their gaps can enter the Solver directly.
The categories where organizations most commonly need hands-on help.
The Solver engagement is scoped to your specific readiness gaps, not a fixed curriculum. These are the areas where implementation work most frequently concentrates.
Data Infrastructure Remediation
Building reliable data pipelines, establishing data quality standards, implementing cataloging and governance practices. The foundation that every AI system depends on, done right.
MLOps & AI Tooling
Establishing the engineering infrastructure to build, deploy, monitor, and iterate on AI systems in production. The difference between a prototype and a product.
AI Governance Framework
Building the policies, review processes, and accountability structures that let your organization move fast on AI without creating risks you don't see until it's too late.
Engineering Team AI Enablement
Upskilling your engineering team on AI/ML practices, patterns, and production operations. Not a training course, but working sessions embedded in real projects your team is already doing.
Use Case Pipeline Development
Taking identified AI opportunities from concept to validated, scoped, and prioritized projects with clear ROI criteria and a path to production.
AI Roadmap Execution
Owning the transformation roadmap: sequencing decisions, removing blockers, and keeping leadership aligned with what's happening and why it's taking the shape it is.
Scoped to your gaps. Sized to what you can execute.
Every Solver engagement is designed around the specific readiness gaps identified in the assessment. There's no fixed playbook; the work adapts to what your organization actually needs to move.
Gap Prioritization
We start from your assessment findings, or, if you're entering the Solver without a prior assessment, from a scoping conversation about your AI readiness landscape. Together we identify which gaps are load-bearing: the ones blocking everything else.
Scoped Engagement Design
I design the engagement around your specific gaps: which areas to work in, what the involvement looks like, how much of my time is needed, and what "done" looks like for each workstream. Engagements typically run one to three months, with a defined scope and exit criteria.
Embedded Implementation
I work inside your organization: in your planning sessions, your architecture reviews, your standups. I pair with your engineers on high-stakes work, review and challenge decisions, and build toward the outcomes defined in the scope. Not as an observer, but as a working contributor.
Capability Transfer
The goal isn't dependency; it's a team that can continue the work without me. Every workstream is designed to leave your engineers more capable, your systems better documented, and your organization less reliant on external expertise for the work we did together.
What the Solver is not.
The roadmap exists. The question is whether it gets executed.
Most organizations have a picture of what needs to change. The gap is in the execution. If you're ready to close it, let's talk about scope.
Get Started →