Licenses do not transform an organization; capable people do. We design and deliver complete AI training programs for enterprise teams: structured curricula, hands-on labs, governance guardrails, and a self-hosted training platform your workforce can return to long after the workshop ends.
Most organizations that buy AI tooling see a familiar curve: a burst of curiosity, a plateau of copy-paste prompting, then quiet abandonment by everyone except a few enthusiasts. The tooling was never the constraint. Capability was.
Employees treat a frontier model like a search engine, get mediocre answers, and conclude the technology is overhyped. Others paste confidential data into consumer chatbots because nobody defined the boundaries. A few power users build impressive personal workflows that leave with them when they change jobs.
Meanwhile leadership sees license invoices and no measurable productivity change, and the initiative loses sponsorship. This failure pattern is so common it is practically the default, and none of it is caused by the models.
A complete enterprise curriculum, refined in production with a European commerce enterprise and adaptable to your organization's tools, policies, and departments. Expand any session.
What large language models actually do, in plain language: tokens, training, context windows, and why the model sounds confident even when it is wrong. Where AI genuinely excels, where it reliably fails, and how to tell the difference.
Participants leave with a mental model that replaces both the hype and the fear, plus a shared vocabulary the rest of the curriculum builds on.
The craft of asking well: goal, context, source material, expectations, and format. Participants rewrite real prompts from their own inbox and watch output quality transform live.
Includes reusable prompt patterns for the most common workplace tasks: summarize, draft, extract, compare, critique, and translate between audiences.
The non-negotiables: what data classes exist in your organization, which of them may enter which AI tools, and what GDPR and the EU AI Act actually require of everyday AI use.
Delivered with concrete scenarios, not legal lectures: the customer email, the salary sheet, the contract draft. Participants leave knowing exactly where the lines are and why they exist.
Why grounding beats guessing: how retrieval-augmented systems answer from your documents instead of model memory, and what that means for accuracy, citations, and trust.
Hands-on lab: participants query a demo knowledge base, inspect which sources were retrieved, and learn to judge an answer by its evidence.
The economics of AI use: why model choice matters, what tokens cost, when a fast small model beats a slow frontier one, and how organizations route work to the right model tier.
Participants learn to make the cost-quality tradeoff consciously, the same judgment the engineering side applies at the platform level.
The curriculum meets the org chart: separate lab tracks for operations, finance, marketing, customer service, and management, each applying AI to that department's real recurring tasks.
Every participant leaves with at least one working AI-assisted workflow adopted into their actual job, not a hypothetical exercise.
The failure modes in detail: confident fabrication, stale knowledge, misread context, and sycophancy. Then the countermeasures: source-forcing prompts, cross-checks, structured review, and knowing which tasks demand a human pass.
Participants practice on planted errors: finding the fabricated citation, the plausible wrong number, the subtly inverted conclusion.
Teams design, build, and present a complete AI-assisted workflow for their department: the task, the prompts, the data boundaries respected, the verification step, and the measured time saved.
Leadership attends the presentations. The capstone converts training into visible, owned, in-production capability, and identifies the internal champions who carry it forward.
The single highest-leverage habit we teach. Five components, in order, every time the task matters. Copy the template and try it on your next real task.
Weak prompts fail for boring reasons: the goal is vague, the context is missing, the source material is absent, the expectations are unstated, and the format is left to chance. The model fills every gap with assumptions, and the output shows it.
G-C-S-E-F closes the gaps mechanically: Goal (what you want), Context (who this is for and why), Source (the material to work from), Expectations (quality bar, constraints, what to avoid), Format (the exact shape of the output). It is not the only prompting technique we teach, but it is the one that pays for the whole program on day one.
GOAL: Draft a response to the attached customer complaint. CONTEXT: B2B customer, 4 years with us, third delivery issue this quarter. Relationship is strained but worth keeping. SOURCE: [paste the complaint email and the order history] EXPECTATIONS: Own the mistake without over-apologizing. Offer the concrete remedy we agreed (reshipment + credit). No legal admissions. Professional, warm, under 180 words. FORMAT: Email body only, ready to paste. No subject line, no placeholders.
A sample question in the exact format learners face on the training platform. Answer it and read the explanation, right or wrong.
Formats combine. The strongest engagements pair live cohort training with the self-hosted platform, so the workshop has a permanent home to point back to.
On-site or remote instructor-led sessions for teams of 8 to 40. Labs, drills, and department tracks delivered on a schedule that respects your operations.
A complete interactive training site deployed on your infrastructure and owned by you: full curriculum content, knowledge checks, progress tracking, and prompt libraries. No per-seat SaaS fees, ever.
We certify your internal champions to deliver and extend the curriculum, giving the program a life beyond the engagement and an owner inside the building.
Focused sessions for leadership: what the technology genuinely changes, what it costs, where the risks live, and how to sponsor adoption without falling for vendor theater.
The deliverable is not a workshop day. It is a workforce that uses AI competently and safely without asking permission, and a platform that keeps teaching after we leave.
This curriculum is not theoretical. It was built and delivered end to end for a European commerce enterprise: multi-department cohorts, a self-hosted training platform, GDPR-aligned governance content, and department workflow labs from operations to leadership.
All eight sessions delivered across departmental cohorts, from first AI literacy to capstone presentations attended by leadership.
A complete self-hosted training site deployed on the client's own infrastructure: lessons, quizzes, progress tracking, and prompt libraries, owned outright.
Data boundary rules and GDPR / EU AI Act guidance written into the training itself, so compliant use is the default habit, not a poster on the wall.
Internal power users identified through the capstone and equipped to carry adoption forward inside each department.
The curriculum is built for exactly that audience. Sessions assume zero technical background, run on plain language and live practice, and the department labs work on each team's actual daily tasks, not abstractions.
Tutorials teach tool features to individuals. This program builds organizational capability: shared vocabulary, governed data boundaries, department-fit workflows, verification habits, and a platform plus champions that make it stick. The failure mode of self-serve learning is precisely what this is designed against.
That is the default, not an option. Sessions run on the AI tools you actually license, examples come from your departments, and the governance module is written against your data classes and policies.
Very little: it is a lightweight static site that deploys to your existing web infrastructure or an inexpensive cloud service in under an hour. No database, no per-seat licensing, no vendor dependency. We hand over the code and the keys.
Three layers: knowledge-check scores on the platform, capstone workflows shipped into real use, and the before-and-after time cost of the tasks those workflows replaced. We define the measurements with you before the first session.
Tell us your team size, your tools, and your departments. We will come back with a curriculum plan and a delivery schedule.