Buying AI tools is easy; getting employees to use them safely, every day and in ways that improve results is hard. This programme prepares your organisation through a roughly 90-day process that starts with an assessment and ends with a results report. Add modules to build your own package.
Research shows that getting value from AI depends more on people, processes and rules than on technology.
BCG says companies that scale AI put roughly 10% of their effort into algorithms, 20% into data and technology and 70% into transforming people, processes and culture (the 10–20–70 approach).
According to McKinsey's 2025 research, intentionally redesigning workflows is one of the strongest contributors to meaningful business impact; companies getting the most value from AI do it nearly three times as often as others.
Under Article 4 of the EU AI Act, the European Commission recommends training that is regular and specific to the systems in use, notes that pointing staff to instructions for use is generally not enough, and advises keeping training records.
Without approved tools and written rules, employees keep using tools through personal accounts (shadow AI). Türkiye's data protection authority's 5 March 2026 announcement on generative AI at work also stresses corporate policies, informing employees and human oversight.
Every organisation starts from a different place; the scope of each phase is tailored after the initial assessment.
Output: Baseline report
Output: Usage policy and priority use case list
Output: Pilot results and champions network
Output: Results report and roadmap
Add them to the core programme or take them on their own.
Courses chosen from our 14 corporate programmes for the roles in your organisation, tailored with your own examples.
Learn more →Roadmap, usage policy, AI inventory and preparation for the EU AI Act, data protection law and ISO/IEC 42001.
Learn more →Role definitions, technical interviews and candidate evaluation for AI and data roles.
Learn more →Helping new employees adopt your organisation's AI tools and rules from day one.
Learn more →Feasibility and prototypes, workflow design, enterprise GenAI assistants, machine learning models and MLOps.
Learn more →We become the technical partner on the AI side of your R&D projects: idea, method, work packages and development.
Learn more →Monthly advisory hours, champions coaching, regular measurement and regulatory updates.
Learn more →Three ready packages for a quick decision. You can change any of them in the package builder by adding or removing modules.
Who it's for: SMEs and organisations new to AI
Who it's for: Mid-sized organisations scaling AI across several units
Who it's for: Large organisations with several units, their own AI team or an R&D centre
Pick modules and tick the courses you're interested in; your selection arrives ready in the quote form.
Who uses the approved tools, how often and for what work?
Do employees know and follow safe-use rules? The initial assessment is repeated at the end.
What changed in time, quality or error rates in the pilot workflows?
A roughly 90-day programme designed to help organisations start using AI safely and sustainably. It starts with an assessment, continues with a usage policy, training, a champions network and pilots, and ends with a results assessment and roadmap.
Yes. You can add training, strategy and governance, talent and hiring support, new-hire onboarding, implementation, R&D technical partnership and ongoing support modules to the core programme, or take modules on their own. The package builder carries your selection into the quote form.
The core programme takes about 90 days. Add-on modules vary with their scope; ongoing support continues monthly.
It can be designed for any size. The Starter package suits SMEs and organisations new to AI; the Enterprise Transformation package is designed for large organisations with several units and R&D needs.
Pricing depends on the modules chosen, number of participants, number of units and duration, and is quoted individually. Make a selection in the package builder and request a quote.
The programme puts in place the basic steps compliance requires, such as AI literacy, a usage policy, an inventory and training records. It does not replace a legal compliance opinion; we recommend working with your legal adviser on the legal assessment.
How to frame novelty, uncertainty, method, success criteria and work packages in an AI R&D project. A practical guide using the Frascati criteria and TRL.
Read more →Licences bought but usage is low? Six common reasons employees don't adopt AI, and practical fixes for each: rules, training, managers, use cases and support.
Read more →Licence counts and logins don't show adoption. Indicators and a method for measuring AI adoption on three levels: usage, proficiency and business results.
Read more →In a short call we'll discuss where you are today and prepare a quote with the right modules and timeline.
