One way of working
A shared approach helps people choose the right tool, write clearer instructions and check results before putting them to use.
Practical AI training for teams
AI training built around your team’s actual work.
AI Uplift Labs teaches generative AI, automation, custom assistants, data analysis and governance through the tasks your team already handles. No generic demos. No jargon for the sake of it.
- In-house, open or remote
- Groups of 4 to 12
- Six-week follow-up included
A typical path
- 1Needs and current uses
- 2A tailored program
- 3Hands-on workshops
- 4Six-week follow-up
Tools we work with
ChatGPT · Copilot · Make · n8n
Built for teams across your business
- Operations
- Marketing
- Customer service
- Leadership
- Support teams
- Data & analytics
Why AI Uplift Labs
Turn individual experiments into shared team habits
Giving people access to AI tools is the easy part. Using them well, checking the output and knowing what not to share takes practice.
Less grind in routine work
Practice on the drafts, summaries, information sorting and reports that eat into the week. The examples stay close to the job.
Clear limits and review
Sessions cover confidential information, invented answers, intellectual property and the point where a person needs to step in.
Rules people can follow
For teams that need more structure, governance sessions turn broad concerns into practical rules for tools, review and escalation.
Training programs
Six programs for the work in front of you
Start with one session or combine modules into a longer program. We adjust the examples, pace and depth to the people in the room.
FoundationsBeginner
Generative AI at work: the fundamentals
Learn what AI assistants can and cannot do, practice writing clear prompts, and build checks for facts, sources and sensitive data.
AutomationIntermediate
Automate processes with Make, Zapier and n8n
Map a repetitive workflow, build a no-code automation and decide where human approval belongs before anything goes live.
AI assistantsIntermediate
Design an AI assistant for your team
Create an assistant for a defined team task, connect approved reference material and test its answers before wider use.
DataIntermediate
AI-assisted data analysis
Use AI to help clean and explore business data, then check its calculations and present the results in a dashboard or summary.
Customer serviceBeginner
AI for customer service and support
Draft clearer replies, search approved support material and review recurring customer questions without removing human judgment.
GovernanceAdvanced
AI governance and responsible use
Help managers, DPOs and compliance leads set practical rules for approved tools, risk reviews, documentation and human oversight.
How it works
Four steps, from first call to follow-up
The structure stays simple. We change the material and pace to fit your team, rather than asking your team to fit a fixed slide deck.
- 1
Diagnosis
A scoping call, a short questionnaire and a review of current AI use help us find the work worth focusing on.
- 2
Program
We select modules, adapt examples to your business and agree the session plan with your team leads.
- 3
Training
Short demonstrations give way to hands-on practice. Participants work in person or online on realistic tasks.
- 4
Follow-up
A remote check-in six weeks later addresses snags. Participants keep the materials for further practice.
Delivery formats
Training that fits the way your team works
Choose a standalone session or build a longer pathway. We will help you pick a workable pace and group size.
In-house
A session for your team only, on agreed dates, at your premises or online, with examples drawn from your business.
Open sessions
Individual participants join a scheduled session with people from other organizations. Useful for one or two team members.
Live remote
Small-group exercises, shared materials and live demonstrations, broken into manageable online sessions.
Custom program
A multi-module pathway with coaching for internal champions and help drafting practical AI-use rules.
Practical by design
What a working session looks like
The exercises stay close to everyday work, including the awkward parts: vague instructions, weak source material and outputs that still need revision.
Bring a real task
A weekly report, a support reply or a manual handoff makes a better exercise than a polished generic example.
Review the output, not just the prompt
Participants compare answers, check sources and decide when a person needs to revise or reject the result.
Leave with something useful
Depending on the module, that may be a prompt checklist, a draft workflow or a set of team rules for AI use.
FAQ
Questions, answered plainly
Who is the training for?
Teams in operations, marketing, customer service, support functions and management. Each program has a level, and we adapt the examples to the group’s experience.
Do participants need to know how to code?
No. Most programs use no-code or low-code tools. Advanced automation and data modules introduce technical ideas one step at a time. We confirm any prerequisites before booking.
Which tools do you cover?
General-purpose assistants such as ChatGPT, Claude, Gemini and Copilot; automation platforms including Make, Zapier and n8n; and tools for data analysis and custom assistants. The exact selection depends on the program and your systems.
What is the difference between in-house and open sessions?
An open session brings together participants from different organizations on a fixed date. An in-house session is for one team, with agreed dates and examples tailored to its work.
How is pricing worked out?
We price by program, group size, delivery format, preparation and follow-up. Tell us what you need and we will provide a clear quote before you commit.
Let’s work out what your team needs
Tell us who the training is for, what is slowing them down and which tools they already use. We can take it from there.