The best AI system fails if your team doesn't know how to use it. We deliver hands-on training programs — from AI fundamentals to advanced prompt engineering and responsible AI governance — tailored to your industry and designed to build capability your teams retain and apply independently.
Hands-on Workshops · Prompt Engineering · LLM Tools · Responsible AI · Custom Curriculum
AI adoption stalls when employees don't understand the tools, their limitations, or how to use them safely. Our foundations program builds organisational-wide AI literacy — from executives who need strategic framing to operational staff who need to use Copilot, ChatGPT, or your internal AI tools confidently every day.
Half-day and full-day workshops that demystify AI for business teams — what LLMs actually are, how they work at a conceptual level, why they hallucinate, what they're good at versus unreliable for, and how to integrate AI tools into daily workflows safely. Designed to be practical and role-specific, not generic technology overviews.
Leadership teams need a different kind of AI education — strategic framing, not tool tutorials. We deliver bespoke executive briefings covering the current state of AI, competitive dynamics in your sector, the decisions your organisation needs to make in the next 12 months, and the risk and governance frameworks you need in place before deploying AI at scale.
Companies investing in Microsoft 365 Copilot often see low adoption because employees don't know how to use it effectively. We run structured adoption programs that cover practical Copilot use cases by function — how finance teams use it for data analysis, how sales teams use it for CRM summaries, how HR uses it for policy drafting — with real before-and-after workflow comparisons.
Prompt engineering is a skill that compounds. Teams who master it get dramatically better outputs from the same tools — saving hours per week per person. We train your teams to write effective prompts for their specific tasks, with hands-on practice exercises on your actual work, not generic examples.
A practical full-day or two-day workshop where participants learn and immediately apply — zero-shot, few-shot, chain-of-thought, and role-based prompting techniques on real tasks from their jobs. Participants each complete 5–7 prompt engineering exercises on their actual work and leave with a personal prompt library they can use immediately.
For technical teams building on top of LLMs, we run intensive training on RAG architecture, function calling, structured outputs, context window management, token cost optimisation, and evaluation frameworks. Sessions are lab-based with working code your developers complete themselves — not just lectures on API documentation they can read independently.
AI misuse creates legal, reputational, and regulatory risk. We train your teams on responsible AI practices — bias recognition, data privacy obligations, transparency requirements, and your organisation's AI policy — so every employee who uses AI tools does so in a way that protects the business.
We help organisations develop and communicate internal AI usage policies — what data can and can't be pasted into external AI tools, which tasks require human review of AI outputs, how to handle AI-generated content for external communications, and escalation paths when employees are unsure. Policies are accompanied by training that makes them practical, not theoretical.
For organisations deploying AI in regulated contexts — healthcare, financial services, hiring, credit — we deliver specialist training on bias detection, fairness metrics, explainability obligations, and the regulatory landscape (EU AI Act, UK AI Framework, EEOC guidance). Teams learn to identify and mitigate risks before they deploy, not after a problem surfaces.
Book a free training needs assessment. We'll understand your teams' current AI skill levels and design a program that meets them where they are — not where a generic course assumes they are.