Governance written, tooling secured, people trained — in four to eight weeks,. It is the investment every later stage of AI work sits on.
Your AI readiness scored across seven dimensions, self-serve, in under 30 minutes. It produces a baseline you use to build a solid foundation.
Organizations with fully integrated AI are nearly four times more likely to report revenue growth than those still piloting — 58 percent against 15 percent.
Report fully scaled AI, against 88 percent who use it somewhere in the business. Activity is near universal; results are not.
Have a formal AI governance framework, while 75 percent have an AI usage policy. The policy exists; the framework underneath it usually does not.
What separates those positions is rarely the model anyone picked. It is governance nobody wrote, licenses nobody configured, and staff who have never been shown what good use looks like in their own job. Departmental subscriptions bought on expense cards, two pilots that impressed a committee and then stopped, and a board asking what the plan is. That is not a technology problem, and it does not resolve itself with another pilot.
Provectia builds the base an AI program runs on, as a defined piece of work with an end date. Three workstreams: create the governance you are missing, advise on tooling and then actually stand it up and configure it, and bring people to the point where they can use AI on their own work. You choose how many of the three you need.
Scope, duration and price are agreed in writing before the work begins. You end with a maturity assessment, a roadmap and a 90-day action plan with a named owner against each item — and you own all of it. Many organizations run the next quarter themselves from there. That is the intended outcome, not a failure of the engagement.
Foundation is not the interesting part of an AI program. It is the part that decides whether the interesting parts survive contact with the business.
See the framework→Most organizations try to start at the second stage. Work that skips the foundation does not fail loudly; it produces pilots that never leave the demo, and a second year that looks like the first. Only Foundation is available as a defined program today. The other two are described so you can see where the work goes, not because they are for sale.
4–8 weeks
Are we ready to run an AI program responsibly today? Four layers get scored rather than debated — strategy and culture, data and governance, technology, people and skills. One domain is chosen and one accountable executive sponsor is named. Governance, configured tooling and trained people land together, because any one of the three without the other two decays.
See the Foundation stage→Forward stage
What is actually possible in the chosen domain, and can we make one thing work end to end? Discovery with frontline operators produces a ranked shortlist. Then one candidate is rebuilt — not the existing workflow automated, the workflow redesigned for the outcome — and put into production against a metric the business already tracks.
Forward stage
The rebuilt workflow extends across the domain, and the foundation underneath it stops being per-project heroics: data architecture modernized, evals and quality gates routine, funding and talent ownership settled. The test is no longer whether AI is used but where the decisions get made.
The program is not a document pack. It is three workstreams, each producing artifacts you keep and operate. Take one, take all three — that choice sets both the duration and the price.
The irreducible core: bringing people to the point where they can use AI on work they actually do. Executive vision first, then use-case discovery and prioritization with the people doing the work, then training built on those use cases. On its own, this is the four-week engagement.
Executive AI vision · use-case discovery and prioritization · training sessions · executive readout
Create the governance you are missing. Risk tiers for every category of AI use, a small set of clear boundaries rather than a thick manual, and a review path proportionate to risk. It maps to NIST AI RMF, so there is a recognized standard to check it against.
AI governance framework (maps to NIST AI RMF) · acceptable-use policy · AI standards
Advice on tooling, then the work of putting it in place. Architecture recommendations are grounded in the prioritized use cases rather than a vendor shortlist. Licenses are then established and configured — tenancy set up, access policy applied, administration handed to your team.
AI architecture recommendations · licenses established and configured · access policy
Three artifacts come out of the program whichever workstreams are in scope, because they describe where you are, where you are going and what happens first.
AI maturity assessment · AI roadmap · 90-day action plan
Starts at $15,000 for training and readiness alone — the four-week configuration. Adding governance and licensing takes it to roughly eight weeks and is quoted at scoping. Full scope and pricing on the program page.
Capabilities, not documents. Each is something the organization could not do before the engagement started. Which of them you end up with depends on the workstreams you take.
Every request has a risk tier and a written standard to check it against, so routine uses stop waiting on an executive committee and consequential ones get real review.
Licenses live, access policy applied, staff trained against use cases from their own work rather than a vendor demo. Adoption starts from something they have already practiced.
When counsel, a customer, an auditor or an insurer asks how you govern AI, there is a framework mapped to NIST AI RMF, an acceptable-use policy and a set of standards to hand them.
Architecture recommendations trace back to prioritized use cases and your risk tiers, which makes the next licensing conversation a scoping exercise rather than a bake-off.
A 90-day action plan with a named owner per item, sitting under a roadmap. The program ends with the next quarter already decided, not with a recommendation to decide it.
Provectia is Mark Trenchard. Thirty years in technology leadership, including senior IT leadership roles at Emory University School of Medicine and Stanford Medicine — running IT across education, research and administration — and earlier roles at HP, Cisco and Borland. He completed MIT xPro’s AI for Senior Executives program in July 2026. There is no bench and no handover to a junior team.
Your AI readiness scored across seven dimensions.
Free to start and self-serve, in under an hour. A baseline you can put in front of a leadership team and argue about.
Governance, configured tooling and trained people, with an end date.
Three workstreams, priced and scoped before it starts. It produces the maturity assessment, roadmap and 90-day plan that any later work runs against.
See the programTwo days a week at the base, scalable in 25 percent increments.
Month-to-month with 30 days’ notice and no multi-year contract. For organizations that need the function in the room but cannot justify a full-time hire.
How the retainer worksNothing here needs a conversation first. Use it internally, then decide whether the program is worth your time. The Ask box at the top of this page is part of the same argument: it runs on the tooling and the governance the program installs, answering from Provectia’s own published material and citing what it drew on. A practice that recommends AI should be visibly running on it.
Readiness scored across seven dimensions, self-serve in under an hour. Free to start, with paid Pro and Executive tiers if you want it benchmarked or written up for a board.
Take the assessmentChecklists, a sample acceptable-use policy and the use-case prioritization framework used in the program’s decision session, published as each one is written.
Open the toolkitWorking notes on AI governance, adoption and executive decision-making. Written for the people who have to make the call, not build the case for someone else to make it.
Read the insightsA short call settles which workstreams you need, how many people need training, and the calendar. You get a fixed scope, a fixed duration and a fixed price before anything starts. If the honest answer is that you are not ready for this yet, you will hear that on the same call.