Our Approach
AI is in the building. Most consulting fixes one side of that.
Mid-market organizations and nonprofits are adopting AI faster than their governance can keep up — or adopting cautiously and watching their teams use unapproved tools anyway. Either way, the result is the same: no one has a confident answer to “is this safe?”, “what's it costing us?”, or “what should we adopt next?”
Compliance firms write a policy. Adoption firms run training. Neither alone closes the gap between a policy that exists and adoption that's actually happening. That gap is where our work lives.
What an engagement changes
After an Assess engagement
You have a written diagnosis you can act on. Specific gaps ranked by impact. An honest read of where you stand against the institutional frameworks (NIST AI RMF, ISO/IEC 42001, CMMI AIM, the OECD AI Principles) your audit and compliance teams already use.
After an Build engagement
The policy is published. The approved tool catalog exists with named owners. Approved pathways are in workflows. Training has run. Champions know who they are.
After an Manage engagement
An experienced governance and enablement function is being run by us while you build the internal capacity to take it over. When we leave, the program continues without us.
How we work
Five domains describe the activity a working AI program is doing at any given time. These aren't sequential phases. Working organizations are doing all five at once, with emphasis shifting based on what's most important right now.
Visibility
What AI is already in use, by whom, with what data, and why.
Architecture
What policies, roles, and approved pathways are designed for the organization.
Practice
How those policies and pathways live in daily workflows.
Capability
What durable competence the organization is building so the program doesn't depend on heroics.
Tuning
How the program is adjusted as your AI footprint grows and the regulatory landscape shifts.
Each domain involves both governance work — what controls and risk management exist — and enablement work — what approved pathways and skills exist. We work both sides together because doing one without the other is how AI programs fail.
We don't add another framework to your stack
If your audit, compliance, or risk context already uses one — NIST AI RMF, ISO/IEC 42001, CMMI AIM, the OECD AI Principles, or some combination — we work with it. Those frameworks describe what a working AI program looks like.
We diagnose whether your organization is actually doing what those frameworks describe, and where the gap is between intent and execution. If you haven't adopted one yet, our work tells you where you stand regardless.
Why us
Brian Fending: former CIO and security executive, CISM certified. Spent years building both governance and adoption programs in resource-constrained environments — long enough to know what works when budgets are real and timelines aren't theoretical.