UK-based AI training · expert-led
Practical AI training for mid-sized and enterprise organisations. Equip leadership teams, engineers and the wider workforce to use ChatGPT, Microsoft Copilot, Claude and Gemini in their everyday work. Delivered on-site across the UK or live online.
No obligation to book. We reply within one working day.
Teams we have trained
Programmes delivered for leadership teams, engineering teams and whole workforces across retail, logistics, technology and the public sector.
Licences go unused, work gets duplicated, and teams apply AI inconsistently. Day Seven turns scattered experimentation into repeatable capability, with practical skills and guardrails people can use in everyday work.
Cut hours from the work your team does every week.
Clear guardrails so AI is used responsibly across teams.
Turn unused Copilot, ChatGPT and Gemini seats into real value.
Track adoption and productivity, not vanity metrics.
How it works
Tell us what your team needs and we will recommend the right format.
A short conversation about your team, the tools they have licences for and the tasks that take the most time. We then send a proposed format, content and price.
Hands-on instructor-led workshops at your offices or live online, worked through on your team's own tasks — around 16 people per workshop, multiple sessions for larger groups.
Your team leaves with prompts and templates for their own work. We agree what to compare afterwards — time and output quality on a chosen task, plus confidence and adoption.
Standard team enquiries start at 10 people, with workshop cohorts of up to 16 and multiple cohorts for larger groups. Based in Leeds, we deliver on-site across the UK or live online.
See it in action
Choose a tool and explore a sample task, from brief to draft to human review.
A consultancy turning discovery-call notes into a client workshop proposal.
Sample brief
Brief
Prompt — workshop proposal for Harlow & Finch
Written by the account lead
You are helping me draft a workshop proposal.
Reader: Head of Operations. Decision: approve a pilot.
Discovery call notes: 40-person ops team, monthly supplier reports take two days.
Sections: context, proposed sessions, what changes, next step.
Rules: no invented figures, flag every assumption, under 700 words.
Sample draft
AI-assisted draft
Draft proposal — Harlow & Finch
Generated from the brief above
1. Context
Your operations team of roughly 40 spends about two days a month assembling supplier reports from several sources.
2. Proposed sessions
Session A — drafting and summarising with agreed house rules.
Session B — the supplier report, worked end to end on your own template.
3. Assumptions
Assumption: attendees can sign in to Claude on your current plan.
Assumption: the report template can be shared with sample data removed.
Sample review
Human review
Review pass — before it leaves the building
Account lead's edits
"Two days a month" checked against the call notes — kept, wording softened to "around two days".
Assumption about licences moved to the top so it is not missed.
Session B renamed to match the client's own term for the report.
Removed a sentence implying a saving the team has not measured.
Signed off by the person who owns the relationship, not by the tool.
A cross-department Teams meeting turned into owners, actions and a follow-up email.
Sample brief
Brief
Meeting notes — warehouse handover review
Teams recording and chat notes
Tuesday, 45 minutes. Operations and Customer Service.
Night-shift handover sheet keeps arriving incomplete.
Priya to look at the template; Marcus unsure who owns the printer list.
Agreed: trial a shorter sheet from the start of next month.
Someone mentioned a customer complaint — detail not captured.
Sample draft
AI-assisted draft
Actions extracted by Copilot
Decisions separated from discussion
Decisions
Trial a shortened handover sheet from the 1st.
Actions
Priya — redraft the handover template — by Friday.
Marcus — confirm who maintains the printer list — by Wednesday.
Open questions
Which customer complaint was referred to? Not stated in the recording.
Sample review
Human review
Follow-up email — checked, then sent
Drafted in Outlook by the meeting chair
Subject: Handover review — decisions and actions
The due dates in the draft (Friday, Wednesday) were not in the meeting — they are assumptions, and were confirmed with Priya and Marcus before the email went out.
Owners confirmed with each person; anything unconfirmed stayed marked as proposed.
Open question left in the email rather than guessed at.
One "agreed" downgraded to "proposed" — the recording did not show agreement.
Prompt saved to the team library so the next chair reuses it.
A campaign brief becoming a customer email, then a fact and tone review.
Sample brief
Brief
Campaign brief — spring service reminder
Written by the marketing lead
Audience: existing customers, last service over 12 months ago.
Purpose: book a service slot online.
Tone: plain, warm, no hard sell, British spelling.
Must include: booking link, opening hours, cancellation terms.
No customer data pasted in. No discount claims — none approved.
Sample draft
AI-assisted draft
Email draft, version 1
Plus two alternative openings
Subject: Time for your annual service?
It's been a while since we last saw your vehicle. Booking takes a minute and slots are open through April.
Alt opening A: leads on the reminder.
Alt opening B: leads on the booking link.
Marked: "slots open through April" needs confirming with the workshop.
Sample review
Human review
Fact and tone review
Checked by the marketing lead
Availability confirmed with the workshop before the claim stayed in.
Cancellation terms corrected against the current policy page.
Opening B chosen — shorter, and the ask is visible on a phone.
Removed an implied guarantee about same-week slots.
Final wording approved by a person before scheduling.
Scattered project notes becoming a Workspace-style summary, then verified.
Sample brief
Brief
Project notes — office move, week 6
Google Docs bullets and a Meet summary
Fit-out contractor confirmed for the second week of June.
Desk count still under discussion — sheet says 62, facilities said 58.
IT cutover date not yet agreed.
Summary needed for Thursday's steering group. No supplier names outside the team.
Sample draft
AI-assisted draft
Draft summary in Docs
Structure agreed first: status, decisions needed, risks
Status
Fit-out is scheduled for the second week of June. Desk numbers are unresolved.
Decisions needed
Confirm the desk count (sheet: 62 / facilities: 58).
Agree an IT cutover date.
Conflict shown rather than averaged or silently resolved.
Sample review
Human review
Verification before sharing
Project manager's pass
Both desk figures checked against the sheet's latest tab.
Contractor dates confirmed with the email thread, not the summary.
Supplier name removed — the document goes wider than the team.
Structure saved as a template for next week's update.
Engineering AI enablement
A leadership day to set direction and guardrails, then a two-track engineering bootcamp on Claude and AI coding tools, with coaching and train-the-trainer so the capability stays in-house. The team built an orchestration loop with review gates in Azure DevOps as part of the programme.
Programme in delivery. Results shared once the engagement closes.
Read about AI training for engineersAI enablement with Claude, delivered as a week-long hackathon-style programme.
Practical Microsoft Copilot and Power Platform training in a regulated public-sector setting.
Day Seven designs and facilitates hands-on AI hackathons with your team — anchored to a real internal problem, built on the AI tools you already use, with experts guiding hands-on. Our signature seven-day Day Seven Sprint takes a team from problem to a tested prototype and sponsor review — and shorter formats flex to your scope.
Real problem
A genuine internal challenge worth solving.
Real AI angle
Where AI can realistically help, mapped clearly.
Practical build
Hands-on, with our experts in the room.
Clear next step
A prototype for review, with ownership agreed.
Bespoke training
Off-the-shelf doesn't always fit. We design bespoke AI training programmes tailored to your industry, tools and team maturity — from half-day workshops to multi-month learning paths.
Who we train
We work with mid-sized and enterprise organisations across the UK: leadership teams, engineering teams and the wider workforce.
You're rolling out AI capability across the organisation and need partners who design learning that actually changes behaviour.
You want your people confident, safe and productive with AI — backed by clear policy and responsible-use guidance.
You're driving adoption and need training plus governance support that turns pilots into everyday practice.
You run a growing business and want your teams using AI properly on everyday work, without a long programme or a full-time AI lead.
Banks, insurers, building societies, brokers, wealth managers and advice firms.
Check where your organisation stands across strategy, tools, skills, adoption and governance, then see the two areas to prioritise next. Your work email is required before results are shown and is used to send your report and occasional AI-adoption ideas; you can unsubscribe at any time.
How the assessment works