How long does an AI implementation take?

Most single workflow implementations take 2-6 weeks from kickoff to production. Full AI transformation programmes run 6-12 weeks.

Do you work with specific AI models?

We are model-agnostic and work with all major providers including Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, Mistral, and more.

Can you deploy AI on our own servers?

Yes. Our Local & Private AI service deploys models on your own infrastructure or private cloud.

Glossary

AI Literacy

AI literacy is the ability to understand, evaluate, and effectively interact with AI systems, encompassing knowledge of how AI works, its capabilities and limitations, and how to use it responsibly.

What is AI Literacy?

AI literacy is the foundational understanding that enables individuals to work effectively with AI tools and make informed decisions about AI adoption. It does not require deep technical expertise — rather, it encompasses an understanding of what AI can and cannot do, how to interact with AI tools effectively, how to evaluate AI outputs critically, and what ethical and governance considerations apply. AI literacy operates at different levels. Basic literacy means understanding what AI is, recognising AI-powered products, and interacting effectively with AI tools. Intermediate literacy includes prompt engineering skills, understanding of AI limitations like hallucinations, and knowledge of data privacy considerations. Advanced literacy encompasses understanding of AI architectures, evaluation of AI solutions, and strategic AI planning. The EU AI Act explicitly requires AI literacy as a competence for organisations deploying AI systems. This regulatory requirement makes AI literacy not just a competitive advantage but a compliance necessity.

Why AI Literacy Matters for Business

AI literacy is the foundation for successful AI adoption. Without it, employees may fear AI, resist its adoption, misuse tools, or accept AI outputs uncritically. With it, they become confident, effective AI users who can identify opportunities, use tools well, and maintain appropriate scepticism. Organisations with high AI literacy adopt AI faster, use it more effectively, and experience fewer issues related to misuse or mistrust. AI literacy programmes have been shown to increase tool adoption rates, improve output quality, and reduce support requests. AI literacy is not a one-time training event — it requires ongoing education as capabilities evolve. Organisations should develop role-appropriate training paths: basic awareness for all employees, practical skills for regular AI users, and strategic understanding for leaders making AI investment decisions.

Related Terms

Explore further

ai champion citizen ai ai readiness ai centre of excellence responsible ai

FAQ

Frequently asked questions

At minimum: understanding what AI is and is not, knowing how to interact with AI tools effectively, recognising AI limitations (especially hallucinations), understanding data privacy implications of AI use, and knowing the organisation's AI usage policies.

Start with awareness training for all employees, then provide role-specific skills training. Use hands-on workshops over lectures. Include real examples from your industry. Make training ongoing as AI capabilities evolve. Leverage AI champions as peer trainers.

The EU AI Act includes AI literacy requirements for organisations deploying AI systems. While the specifics are still being clarified, building AI literacy proactively ensures compliance and improves adoption regardless of regulatory requirements.

AI Champion

Individuals who drive AI literacy in their teams.

Citizen AI

How AI-literate employees build their own solutions.

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