The questions we get asked most.
Everything you want to know about Claude AI training, AI adoption programmes, and working with us - answered directly.
The basics.
What is Claude AI training for business?
Claude AI training for business is a structured programme that teaches non-technical teams to build and manage AI agents using Claude. Unlike generic AI courses, it focuses on behaviour change and measurable productivity outcomes, not just tool familiarity.
Why do you specialise in Claude rather than other AI platforms?
Claude is built specifically for enterprise use in regulated environments. It offers constitutional AI, enterprise-grade data controls, and the reasoning capability that professionals in demanding roles need. We go deep on one platform rather than skimming across many - that depth is what makes adoption stick.
How is this different from a generic AI training course?
Generic AI courses teach prompting. Our programme teaches people to build and manage AI agents that do real work. Every participant leaves with AI actively working for them - not just knowledge of what AI can theoretically do.
What to expect.
What results can businesses expect from AI upskilling?
The public benchmark for generative AI is about 2.2 hours returned per week per user. Organisations we work with are experiencing 6-10 hours back per person per week, depending on the role - the technology is the same, the difference is adoption. On top of the hours, the quality of work rises as AI lifts the administrative burden, letting your people focus on what you actually pay them for.
How the programme works.
What is included in Claude Setup and Deployment?
Claude Setup and Deployment covers leadership alignment, security and safety configuration to your compliance requirements, organisation-wide context so Claude learns your business, enterprise search setup, and a tech stack audit to integrate Claude with the tools you already use.
What happens during the AI Adoption Programme?
The Adoption Programme is a structured four-month engagement. Every person involved builds and manages their own AI agents. It covers AI literacy and judgement, agent building, a leaders-first methodology, and human accountability culture. Outcomes are measured in hours saved and agents built and deployed.
Scotland and beyond.
Do you work with businesses outside Scotland?
Yes. We are based in Scotland and work primarily with UK firms, serving clients in Edinburgh, Glasgow, and across the UK. Discovery calls are held online, and programmes can be delivered remotely or in person.
Do you offer AI training specifically for Scottish businesses?
Yes. We are based in Scotland and work with businesses in Edinburgh, Glasgow and across Scotland, as well as UK firms nationally. Our programmes align with Scotland's AI Strategy 2026-2031 goals for AI adoption and upskilling in Scottish businesses and SMEs. We are Scotland's only dedicated Claude adoption specialist.
The new questions since Copilot Cowork launched.
Why is Copilot Cowork switched off for UK organisations?
Copilot Cowork runs on Anthropic's Claude models, which are currently excluded from Microsoft's EU Data Boundary - so they are disabled by default for UK tenants. An administrator must explicitly enable Anthropic models, and can scope access per user or group. Activating it well is a governance decision, not a checkbox - see Claude in Microsoft 365 for the full picture.
Do we need a Microsoft 365 Copilot licence to use Copilot Cowork?
Yes. Copilot Cowork requires the Microsoft 365 Copilot licence on top of your Microsoft 365 plan - typically around £16-£25 per user per month for UK SMEs - and Cowork tasks are then billed in Copilot Credits on top of that. Claude's flat per-seat subscription is the simpler alternative; we help you weigh the two.
Claude, Copilot or ChatGPT - which should our firm pick?
You're probably already using all three: Copilot's default engine is the same OpenAI models behind ChatGPT, and Copilot Cowork runs on Claude. Choose the wrapper that fits your stack and data posture, adopt it properly, and build your skills on the open standard both platforms now share - so your capability travels if you ever change your mind.
What Claude can actually do.
What tasks can Claude actually automate?
More than most teams expect: email triage and summaries, reports and presentations built from your own documents, spreadsheet cross-checking, folder clean-ups, and entire multi-step workflows - an incoming-orders process from paperwork to invoice, with human approval at the right points. The better question is what Claude should automate for you - answered fully, with an easy win to try this week, in what tasks can Claude actually automate.
Can Claude connect to Outlook and the systems we already use?
Yes. Claude connects to Outlook, Gmail, SharePoint, Excel and hundreds of business systems through connectors built on MCP - the open standard Anthropic created and donated. That's how a workflow reaches your real paperwork, calendar and data rather than working from copy-paste. Connecting the right systems, with the right permissions, is part of Claude Setup and Deployment.
Why does AI give inconsistent results - and how do you fix it?
Because prompting varies. The prompt changes, the outcome changes - and you can't guarantee everyone prompts the same way, so the same tool gives different people different results and nobody knows why. The fix isn't better prompting alone: it's locking how Claude completes a task into a skill, so everyone runs it the same way and gets the same outcome, every time.
AI agents, without the hype.
What actually is an AI agent?
Traditional AI is like an external consultant: you take work to it, and you get out what you put in. An AI agent operates like a member of your team - trained on how you do the work, doing the work, and coming to you when your input is needed. Every person on our programmes leaves with agents actively working for them.
Are AI agents overhyped?
The hype is real - analysts predict over 40% of agentic AI projects will be cancelled by 2027 - but the capability isn't. Asking if agents are overhyped is like asking if hiring a new team member is overhyped: the result depends entirely on how they're trained and managed. Teams we partner with have agentic AI running at least two workflows within 60-90 days - and keep using them because they save time, not create more work.
Who is liable when AI gets something wrong?
You are. Under UK law AI has no legal personality, so responsibility for anything it produces always sits with a person or company - "the AI did it" is not a defence. That's why every workflow we build has named human input points and approval gates: the accountability the law leaves with you becomes something you actually control.