AI Services · Consulting & Strategy
For teams that are done experimenting and ready for a plan they can fund, staff, and defend.
Definition
A structured engagement where an outside team assesses how your organization works, identifies where AI can create measurable value, and delivers a prioritized implementation plan — workflow mapping, scored use cases, build-versus-buy recommendations, governance guidance, and a phased roadmap your team can execute with or without us.
A strategy you can't execute independently isn't a strategy, it's a dependency.
The problem
Adoption stopped being the hard part. As of Stanford HAI's 2025 AI Index, 78% of organizations report using AI in at least one business function. Nearly everyone has started. Far fewer have finished anything. The failure pattern is consistent, and it's almost never technical.
AI lives in operations, IT, and marketing simultaneously and belongs to none of them. Three teams run three pilots, none of them talks to the others, and the org ends up with three tools, three vendors, and no strategy. The technology was never the bottleneck. The org chart was.
Someone saw a demo. The demo was genuinely impressive. Six months later there's a chatbot nobody uses, because the workflow it was built on wasn't the one costing you money. Excitement is a bad prioritization function — it selects for the most visible problem instead of the most expensive one.
Data access. Permissions. Who reviews the output before it reaches a donor, a student, or a patient. What happens when it's wrong. Staff training. Policy. These are the things that kill implementations after the pilot succeeds, and the things a demo never shows you.
The shape of it
1
Budget line · a hundred plausible ideas
They have a prioritization problem. A hundred plausible use cases, a dozen loud vendors, one budget line, and no reliable way to tell which idea is worth the year. We help you find that answer — and then help you make the case for it to the people who sign off.
We start with your operations, not the technology. Before we name a single tool, we map how work actually moves through your organization — where it slows, where it duplicates, where people are doing something a machine should be doing and where they're doing something a machine absolutely should not.
That order matters. It's the difference between a roadmap built around your constraints and a roadmap built around a vendor's product line.
The AI opportunity map
Impact, effort, risk, and readiness — applied consistently, so the recommendation survives the question “why this and not that?” Hover a quadrant to see how we treat what lands there.
The work that clears in a quarter and pays for the roadmap. Usually internal, usually invisible to the public, usually the least exciting item on anyone's list — which is exactly why nobody had championed it before the scoring made the case.
Deliverables
Written to be forwarded — to a board, a dean, or a leadership team that wasn't in the room.
Process
Discovery takes the longest because it depends on your people's calendars, not our capacity.
We interview the people doing the work, not just the people describing it. Process mapping across your highest-volume workflows, an inventory of the systems and data you already have, and an honest read on what your team has the capacity to absorb this year.
Every candidate use case gets scored the same way: impact, effort, risk, and readiness. Scoring is the part most strategy work skips, and it's the part that makes the recommendation defensible when someone on your board asks why this initiative and not that one.
A sequenced plan: what to do in the next 90 days, what to stage for next year, and what to leave alone entirely. Tooling recommendations with real cost and vendor-lock implications. Governance and policy starting points, sized to your risk exposure rather than a generic template.
Documentation your team can act on without us in the room. Working sessions with the people who'll own execution. And a clean line into a build phase if you want one, with no obligation to take it.
Qualification
Related services
Consulting and strategy is the widest of our AI engagements. If you already know which part of the problem you're in, one of these will get you there faster.
A focused assessment of whether your data, systems, and team can support AI at all. Start here if the honest answer to “are we ready” is “we don't know.”
Start hereOne week, one room, one prioritized roadmap. Start here if you already have candidate ideas and need them ranked and sequenced fast.
Start hereA working, lightweight version of the thing — an assistant, an agent, an internal tool. Start here if the decision is made and you need proof it works.
Start hereCredibility
We've spent five years building digital work for universities, nonprofits, healthcare organizations, and public-interest institutions — the environments where a decision has to survive a procurement process, a privacy review, and a board meeting before it survives contact with users. Oak Theory is a women-of-color-owned studio of eighteen, and that context shapes how we ask questions.
Those constraints aren't an obstacle to good AI strategy. They're the reason it needs to be good. See our higher education work and our work with nonprofit organizations.
Questions
Tell us where your organization is stuck and we'll tell you whether a strategy engagement, a one-week sprint, or a readiness audit gets you there fastest.
One budget line. Be right about which idea.
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