Training that leaves capability behind

For staff who have heard they should be using AI and have no idea where to start. No technical background assumed.

• What these tools are actually doing, in plain language
• What they are reliably good at, and where they fail quietly
• Writing a request that gets a usable answer first time
• Checking output before you rely on it
• Hands-on session using your team's own everyday tasks

The practical one. Everyone arrives with a task they repeat weekly and leaves with it automated.

• Picking a process worth automating — and recognising one that is not
• Mapping a workflow so it can be handed to a machine
• Building the automation, connecting the tools you already pay for
• Testing against real cases, including the awkward ones
• Documenting it so a colleague can maintain it

What your team needs to understand before AI tools touch customer or company data. Built for non-technical staff.

• What happens to information you paste into a public AI tool
• Data that must never leave the business, and how to recognise it
• Prompt injection and manipulated content, explained without jargon
• Spotting AI-assisted phishing and impersonation attempts
• Your own AI use policy, walked through with real scenarios

For owners and managers deciding where budget goes. Less about the technology, more about the judgement.

• Building a use-case shortlist and scoring it honestly
• Working out payback before committing to a build
• Buy, build, or leave it alone — and how to tell which
• Vendor questions that separate substance from marketing
• Governance, accountability and what you remain liable for

For the person in the business who will own this. Some technical comfort expected, but not a developer role.

• Getting your documents into a usable state
• Grounding answers in your own content so they can be cited
• Access control — who is allowed to see which answers
• Measuring whether the answers are actually right
• Maintenance: what breaks over time and how to catch it

A standing session for teams already using AI, so momentum does not stop when the training ends.

• A recurring slot where anyone can bring a problem
• Review of automations your team has built since last time
• Short briefings when something genuinely changes
• A named person to ask rather than a support queue