AI literacy and responsible use
What AI does well, where it fabricates, how to verify results, when not to use it and when a person must decide.
Training · AI Literacy · Handover
Practical AI Training for Companies and Teams
We equip people to use AI in real work with judgement, security and responsibility — including data governance, GDPR, the EU AI Act and practical best practices.
The same tool carries different value and risk in each role
Leadership, sales, operations, administration and Human Resources use different information and make different decisions. Training should reflect that.
Role-based practice
Exercises around administrative, sales, operational, management and HR work, built on situations the team recognises.
Data governance
What information can enter each tool, who has access, where it is kept, for how long and how to maintain an auditable record.
Adoption and handover
Ownership, documentation, known limits, metrics, monitoring, exceptions and procedures that keep a solution working after delivery.
AI training is not a generic prompting course
Writing a useful instruction matters, but it is not enough. A team must recognise confidential information, verify sources, distinguish a suggestion from a decision, and understand when a plausible answer may still be wrong.
We start with the company's workflows and approved tools. Exercises reflect each role's work and end with rules people can apply the next day, rather than a collection of tricks that expires with the next model release.
Handover turns a project into internal capability
An AI solution is not truly delivered if only the supplier knows how it works. Handover identifies owners, access, data sources, integrations, known limits, human decision points, metrics and operating procedures.
We also document what happens when a model or integration fails, how an exception is reviewed, who may change a rule and when to escalate. The team learns how to operate the solution, recognise degradation and ask for help with useful evidence.
Data governance for the AI era
Good practice starts before the tool: minimise the data used, classify information, approve services and vendors, define access, retention and location, and keep personal data and trade secrets out of unapproved tools.
Then come traceability and control: known sources, output validation, records proportionate to risk, version management, monitoring and an incident process. This protects the company and allows the system to improve from evidence rather than impressions.
GDPR, the EU AI Act and human oversight
The EU AI Act makes AI literacy part of the responsibility of organisations that provide or deploy AI systems. The appropriate level depends on people's roles, the context and the risk of the system, which is why one presentation for the entire company rarely goes far enough.
In Human Resources, recruitment, selection, evaluation, monitoring and decisions that affect workers require particular care. Training covers privacy, transparency, documentation, data quality and genuine human oversight. The programme supports GDPR and EU AI Act compliance without replacing legal advice for a specific case.
When existing systems, suppliers, evidence and controls need to be assessed, see our AI Governance, Compliance and Audit service.
Training before, during or after implementation
Leadership workshops
Priorities, risk, investment criteria, governance, responsibilities and decisions about AI adoption.
Business and operational teams
Role-based practice, safe use, verification, limits and integration of AI into everyday work.
Implementation-linked training
User preparation, documentation, handover, production launch and adoption support.
Frequently asked questions
Is the AI training tailored to the company?
Yes. Content starts from the organisation's actual roles, workflows, tools, data and risks. Sales, Human Resources, administration and leadership do not need identical training because they do not make the same decisions.
What should an AI solution handover include?
Functional and technical documentation, ownership, access, data sources, known limitations, human review points, metrics, monitoring, exception handling, incident procedures and escalation.
Does the training cover GDPR and the EU AI Act?
Yes. We cover data governance, minimisation, responsible use, human oversight, transparency, documentation and AI literacy. Content is adjusted to the organisation's role and the risk of the use case, without replacing specialist legal advice.
Can training be delivered alongside an implementation project?
Yes. It can stand alone or be integrated from the design of usage rules through production, handover and adoption support.