Enterprise AI Training and Workshops

Enterprise AI training is the work of building an organization’s judgment about where AI is worth applying: which decisions and workflows genuinely get cheaper, faster or better with a system involved, at what cost, and at what risk. Vivaldi has been a strategy firm since 1999, and we run AI training the way we run strategy work, as tailored workshops for the people who own decisions rather than tool instruction for the people who will operate the software.

• Since 1999strategy, innovation and capability building
• 200+published case studies
• 10 officeson four continents
• 5xWirtschaftsWoche Best of Consulting, Strategy and Innovation

When companies bring us in

Enterprise AI training is usually bought by a CEO, chief strategy officer or chief people officer at a company that has already spent money on AI and cannot yet explain what changed. The trigger is almost always a specific frustration rather than a training calendar.

• Licenses are deployed and nothing moved. Everyone has access, usage looks healthy in the dashboard, and no process, headcount plan or cost line has changed.
• The investment committee cannot interrogate its own proposals. Vendors supply the vocabulary, so the questions asked in the room are the vendor’s questions.
• Use cases arrive faster than anyone can judge them. Every function has a shortlist and no one has a shared test for which items on it are worth funding.
• Adoption has stalled on fear rather than on tooling. People suspect the interesting part of their job is the part being automated, and nobody has said precisely what stays human.
• A board or regulator has started asking. Directors are being asked to approve AI spend using terms they have never had defined for them.

If what you actually need is a decision about where AI fits in the business rather than a session with your leadership team, that is a different engagement. Start with AI strategy and new technology consulting, which is where the portfolio-level choice gets made. If the need is to make the judgment taught here permanent inside the organization rather than resident in one cohort, that is AI innovation capability consulting.

Why tool training has a short half-life

Tool training dates quickly. The interface changes, the model changes, and most of what was taught is obsolete inside a year. That would be a tolerable cost if the training were cheap, but the expensive input is not the trainer. It is the day of senior time.

Meanwhile the skill that actually decides whether AI returns anything is rarely taught at all. Knowing how to prompt a system is not the same as knowing which parts of your work are worth handing to one. The second is a business judgment, it is durable, and it is teachable.

The distinction has a commercial consequence. An organization whose people can operate AI tools produces individual efficiency that rarely reaches the P&L, because the people who got faster cannot change how the work is scoped. An organization whose people can identify which workflows are worth redesigning produces changes that do, because the people in the room have the authority to make them.

This is why we are blunt about who should attend. Training everyone is a good way to sell a large program and a poor way to change a decision.

What our enterprise AI training services include

Every format is built from the same five bodies of work, weighted to the audience and run against your own workflows rather than against generic examples.

1. Where AI changes the economics of a decision

The core of the curriculum, and the part that survives the next model release.

• Which decisions genuinely become cheaper, faster or better with a system involved, and which only appear to
• How to scope work so that a system can do it, which is a skill most teams have never had to develop
• How to recognize the cases where the honest answer is that AI adds nothing, and how to say so without it reading as resistance

2. The vocabulary, in plain language

Executives are asked to approve investments described in terms nobody has defined for them. An hour of definitions changes the quality of the questions asked for the following year.

• What an agent actually is, in terms that let a leadership team approve an investment they understand
• What retrieval, grounding and evaluation mean in practice, without the vendor framing
• Enough precision to tell a real capability claim from a marketed one

3. What stays human, precisely

Systems handle searching, organizing, summarizing, drafting, checking and repetitive analysis. People own framing the real problem, making the strategic choice, creating original insight, and owning the outcome.

Saying that clearly is the single largest lever on adoption we have found. The fear that AI is coming for the interesting part of the job is the biggest brake in most organizations, and it is usually unfounded. What it is coming for is the work around the work.

4. Formats, matched to who needs the judgment

• Executive and board sessions. Usually a single session. The vocabulary alone is worth an hour of board time, because it changes what gets asked of every investment proposal that follows.
• Leadership team workshops. Half a day to a day, built on your actual workflows, ending with a shortlist of candidate use cases and a scoping decision on each.
• Cohort programs. Multiple sessions across a group of teams, for organizations building the judgment at scale rather than in one function.

5. How to tell whether it worked

• Measurement built into the change from the start, tied to a number the business already tracks
• The difference between a system that works and a system that still works six months later
• What to do when the answer is that it did not work, which is the part most programs have no plan for

How an enterprise AI training engagement works

1. Scope. Interviews with the people who will be in the room, a look at the use cases already on the table, and agreement on which decisions the training is supposed to change. The output is an audience and a curriculum, not a catalog.
2. Build. We rebuild the working material around your own workflows and your own candidate use cases. Generic examples produce generic enthusiasm, which is a poor return on a day of senior time.
3. Run. The session or sessions, structured so that every module ends in a decision rather than a discussion. Participants leave with a scoping call on each candidate use case, including the ones deliberately rejected.
4. Follow through. A review some weeks later against the decisions made on the day, to establish whether the criteria are being applied without us. That review is the measurement, and it is where the training either held or did not.

Why companies choose Vivaldi for enterprise AI training

We are a strategy firm that runs training, not a training provider that has added an AI module. That shows up in three practical ways.

• The material is your material. We work from your workflows, your use case shortlist and the demand your business is trying to serve, because the point is a decision about your work rather than familiarity with a category.
• We will tell you where AI does not help. A provider selling a program has no reason to shorten it. A firm that also has to live with your strategy does.
• The curriculum outlasts the tooling. Almost nothing we teach depends on a particular vendor remaining the right choice, which is the main reason this holds its value past the next release cycle.

How to evaluate AI training for employees

Five questions worth putting to any provider, including us.

• What proportion of the day is tool instruction? Tools change. If most of the session is interface training, most of the value expires with the next release.
• Is it built on our workflows or on examples? Training built on generic cases produces enthusiasm that does not survive contact with the actual work.
• Who do you say should attend? If the answer is everyone, they are selling volume. The judgment being taught is most valuable to the people who own decisions.
• What is measured, and when? Satisfaction scores measure the day. What changed in the weeks afterwards measures the training.
• What do you say stays human? A provider that avoids this question is leaving the largest adoption barrier in the room untouched.

Strategy firm, corporate training provider or AI platform vendor?

Related work

Training is rarely the whole answer. Four connected pieces, and the one you need depends on what the training exposes.

• AI strategy and new technology consulting if the real problem is that the company has no position on where AI fits, in which case a workshop treats a symptom.
• AI innovation capability consulting to turn the judgment taught here into a standing capability rather than something one cohort carries.
• AI-powered innovation sprints to apply it immediately to one high-priority use case and find out whether it survives contact with reality.
• Workforce transformation and AI for the role, skill and accountability changes that follow once the scoping decisions are made.

This work sits inside our People, Culture and Capabilities practice at Vivaldi, the strategy firm behind the Demand Landscape and the Interaction Field.

Enterprise AI training in the US and worldwide

We run AI training and workshops from 10 offices on four continents, which matters more for this service than for most of what we do. The AI conversation is not the same in every market: what a US leadership team treats as a procurement question a European one often treats as a governance question first, and a session that ignores that distinction lands badly in one of the two rooms.

Sessions run onsite or remote. Multinational clients typically start with one leadership team in one market, then repeat the format regionally once the curriculum has been tested against their own workflows rather than against ours.