Build a flexible AI strategy in one afternoon that keeps up with the market. Concrete action plan, smart partnership choices, no vendor lock-in.
From public sector to SMEs: businesses building their AI systems with And AI.
xAI and Anthropic, two competitors, are sharing Colossus, the world's largest GPU supercluster. Anthropic is committing 50 billion dollars in AI infrastructure. The signal is unmistakable: even the giants don't go it alone.
For SME leadership this raises one question: what does this mean for our strategy? Building your own infrastructure is not realistic. Sitting still is not an option either. The right answer is somewhere in between, and it differs by sector and organization.
The trap most SMEs fall into: chasing tools instead of choosing a direction. ChatGPT today, Copilot tomorrow, Claude next month, with no compass tying it together. The result is fragmented spend, no measurable outcome, and a team that grows tired of "the next AI pilot."
This workshop turns that around. In one afternoon you and your management team build a strategic AI compass, decide where partnerships beat in-house build, and lock in a 90-day plan you can actually execute.
Four deliverables you take back to your organization the same day
A shared direction for your management team. No more reactive tool-chasing. You know where AI fits your business and where it doesn't.
The xAI-Anthropic lesson translated to SME scale: when do you build, when do you buy, when do you collaborate, even with competitors?
The first 90 days mapped out: priorities, KPIs, and named owners. Not a five-year strategy, an executable wedge.
You learn how to set up AI architecture so you can switch models and providers without a rebuild. Flexibility as a design principle.
Half a day, four modules, one usable AI action plan
What are the AI giants (xAI, Anthropic, OpenAI, Google) doing, and what do their moves mean for your sector? You leave with a clear read of which trends are signal and which are noise.
Which AI applications fit your business model, and where is the ROI highest? You map your processes against an opportunity canvas and pick the wedge that delivers fastest.
Build, buy, or partner? When does each route make sense, even with competitors? You apply a decision framework to your own situation and walk out with concrete supplier criteria.
The concrete first 90 days, including KPIs and named owners. You leave with a filled-in action plan and the market-analysis framework handouts.
Dutch SMEs that turned an AI strategy session into a working solution.
From "we should do something with AI" to a working member-engagement assistant. The strategy session pinpointed exactly which process to attack first, with a measurable retention KPI.
Bolsenbroek wanted AI capability without becoming dependent on one cloud or model. The strategy session produced a model-agnostic architecture and a partnership shortlist that fit their margin profile.
A non-profit with a tight budget that still wanted real impact from AI. The session translated the partnerships question (build vs buy vs share) into a deliberate buy-and-share strategy with measurable social outcomes.
Half-day in-company workshop, fixed-scope quote, no surprises.
The headline is "two giants share infrastructure." The principle is "even the strongest don't go it alone." For SMEs that translates to a deliberate partnership strategy: which AI capability do you license, which do you co-build, and which do you share with sector peers? In the workshop we apply that decision framework to your specific situation.
For 95% of SMEs, building your own foundation models is not realistic, and not the point. The right question is what to build on top of existing models, which providers to partner with, and how to keep that switchable. The workshop gives you a build-vs-buy-vs-partner decision framework, with concrete supplier criteria.
Pick one wedge process where AI moves a number you already report on. Make it measurable, set a 90-day deadline, name an owner. Don't try to "do AI" across the organization at once. The workshop walks you through this prioritization with your own processes on the table.
Two design principles: keep your data and prompts portable, and use an abstraction layer between your application and any specific model. That way you can swap Claude for GPT or Gemini without a rebuild. We cover this in module 3 and translate it to architecture choices that fit SME budgets.
Yes, because the deliverable is intentionally narrow: a 90-day plan, not a five-year strategy. The afternoon is structured around four modules with templates we've used with 50+ SMEs. You leave with a filled-in plan, not a homework assignment.
Built for SMEs of 10-150 employees. Group size 4-12, ideally your management team plus a few key people. Smaller than 10 employees? We typically suggest a shorter format. Larger than 150? We split into two sessions to keep the room actionable.
In-company · 4-12 participants · Fixed-scope quote, no surprises
