AI ACADEMY / AI TRAINING FOR TEAMS
Teams
AI training for companies and working teams. Practise on shared tasks, agree what good work looks like and build instructions and review habits colleagues can use together.
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Illustrative stock image · Patrick Perkins / Unsplash
LEARN → PRACTISE → CHECK
Shared habits. Clear ownership.
Start with a specific task. Make the method visible. Keep the final judgement with a person.
01 / THE CHALLENGE
Make progress on a real working problem.
Individual experiments are hard to turn into team practice when everyone uses different instructions, checks and expectations.
WHAT WE’LL SHAPE WITH YOU
- A shortlist of useful team tasks
- Shared instruction templates and review checklists
- A practical plan for introducing the first workflow
Give your team a shared way to use AI
DEEPER PRACTICE / FOR TEAMS
Team training focuses on useful tasks, shared expectations and clear ownership. The starting point is introductory, with the scope agreed before booking. The suggested curriculum and exercises below show how colleagues can practise together without needing private company documents.
Explore the detail · See the practice method · Questions before booking
Choose a problem everyone understands
01 / PRACTICAL DETAIL
A team can struggle even when several people already use AI. One person wants a concise summary, another expects a detailed record and a third needs an action list. Without a shared standard, each output creates another round of interpretation. Training starts by making those expectations visible.
Choose one recurring task that several colleagues recognise. Describe its current input, who prepares it, who receives it and what a useful result would contain. Keep the first scope small enough to inspect. A meeting handover or draft internal update is easier to assess than a broad promise to transform an entire department.
Task checklist
- Map the current task and its owner.
- Identify repeated confusion or rework.
- Define a result colleagues can assess.
- List information that should stay outside the exercise.
Suggested curriculum: from individual habits to team practice
02 / PRACTICAL DETAIL
The first module compares task selection: where AI might help, where a simple template is enough and where judgement must remain with a person. The second develops shared instructions with context, approved input, output structure and a request to flag gaps. The third examines review, including unsupported claims, missing decisions and misleading certainty.
A final module considers how a useful method becomes a team habit. Who maintains the template? Who checks the output? When should a colleague ask for help? The aim is to develop an approach that people can explain and improve together, rather than treating an assistant’s response as the final authority.
Learning checkpoints
- Task selection and realistic expectations
- Shared instructions and examples
- Fact checking and peer review
- Ownership, exceptions and improvement
Illustrative exercise: a clearer handover
03 / PRACTICAL DETAIL
Use an invented equipment-rental company’s meeting notes. Include three agreed actions, one undecided request and a deliberately missing owner. Two groups ask an assistant to prepare a handover, then exchange outputs. Each group checks whether actions were preserved, uncertainty remained visible and the missing owner was flagged rather than invented.
The acceptance criteria are practical: every action traces to the source, decisions and suggestions are separated, and an unresolved item has a clear question for a person. Participants compare differences and refine the shared instruction. A second round with altered synthetic notes tests whether the method remains useful beyond the first example.
Example checks
- No invented dates or owners
- Clear distinction between decisions and open questions
- Readable structure for the recipient
- A recorded review step before sharing
04 / PRACTICAL DETAIL
Preparation, fit and handover
This pathway fits teams seeking shared literacy and better working habits. It is not a substitute for a production integration project, a compliance assessment or approval to use confidential data. A group with very different goals may benefit from narrowing the first task or choosing focused workshops.
Prepare a non-sensitive description of a recurring task, the roles involved and the current pain point. Useful learning artefacts may include a task shortlist, a shared instruction template and a review checklist; the actual content is agreed with the programme scope. A good handover also records who can change the method and how colleagues report a weak result.
After practice, evaluate the process using a familiar example and the same acceptance criteria. Look for clearer outputs and fewer unresolved ambiguities rather than assuming that faster generation means better work. Any move to real data or live systems should be discussed as a separate step.
Review criteria
- Agree the participant roles and starting experience.
- Bring a task description rather than private records.
- Name the person who will own the learning follow-through.
- Keep implementation requirements separate from training.
The method matters as much as the output.
A VISUAL PRACTICE MAP
Use this four-stage map to organise the exercises on this page. It describes a learning method, rather than a deployed system or client result.
Shared handover test
Illustrative input: Fictional notes: Alex drafts the agenda. Sam reviews it. The presentation date is undecided. Nobody has been assigned to book a room.
Try this instruction: “Create an action table using only these notes. Keep decisions separate from open questions. Use “not assigned” and “not agreed” for missing owners and dates.”
What to check: A second colleague can trace every row to the notes. The output asks who will book the room instead of assigning the work on its own.
01 / CHOOSE
One shared task
Select a recurring problem colleagues recognise.
02 / ALIGN
One useful standard
Agree the input, output and quality criteria.
03 / REVIEW
A second pair of eyes
Compare the result with the source and record gaps.
04 / ADOPT
A named owner
Maintain the method and explain when to ask for help.
CHOOSE → ALIGN → REVIEW → ADOPT
QUESTIONS & SCOPE
Make an informed choice.
Can managers and practitioners attend together?
A mixed group can help align expectations. Share the roles and intended task so an appropriate introductory scope can be agreed.
What if the team uses different tools?
Shared habits can be discussed across tools, but practical arrangements and supported tools need confirmation before booking.
Can we use our internal documents?
Start with synthetic examples. Discuss any real information separately so its suitability and handling are agreed before use.
Does this include building an agent?
Team training develops skills and process clarity. SearchScale’s Agents and Business Builder offers remain separate scopes.
Make your first enquiry useful.
Share the points below in your enquiry. SearchScale will discuss suitability and the programme scope before you commit. Dates, format, fees and required accounts are confirmed directly.
- Team size and roles
- Current AI experience
- One recurring task to improve
- How outputs are reviewed today
- Any tool or accessibility requirements
- Who will own the next steps
Practical experience. Transparent learning.
SearchScale Coaching is founded by Chris Matthews, an entrepreneur and SEO practitioner since 2011. The Academy applies a practical business perspective: start with a real task, understand the method and check the result. Explore our approach and the separate Business Builder programme for more about SearchScale’s wider work.
A team exercise with a clear handover
Use a fictional incoming enquiry with a name, a task and a requested date. One person drafts a response, another checks the facts, and a third decides whether it is ready to send. Record who owns each step and which exceptions require a human decision. Evaluate accuracy and usefulness before introducing real customer information.
Illustrative learning example. These exercises use fictional inputs. They are not client case studies, measured business results or a promise of a particular outcome.
Learn from original sources
Tool behaviour changes. Read the current documentation alongside any exercise: OpenAI’s prompt engineering guide and Anthropic’s prompting documentation. These are independent reference sources; linking to them does not imply endorsement, certification or partnership.
Quality checks that matter
Check factual claims against their source. Keep confidential information out of practice exercises. Identify missing inputs instead of filling them with guesses. Retain a human decision before publishing, sending or acting on an output. For an automated process, define permissions, failure handling and a way to stop it.
A clear scope before you commit
All five Academy programmes are available now. Contact SearchScale to agree scope, dates and fees. Before booking, agree the audience, starting level, learning goals, delivery format, included resources and fees with SearchScale. Confirm any required tool accounts or separate subscriptions. The examples on this page explain the practical focus; your agreed programme scope determines the exercises and deliverables.
Have a question or spotted an error? Contact SearchScale with the page and the point you would like clarified. This Academy content was updated on 2 October 2026. The guides use AI-assisted drafting, original fictional exercises and linked primary documentation. Illustrations show the learning method; they do not document client results. Report a factual correction through the contact link above.
PERSONALISED GUIDANCE
Start with the team’s actual work.
Chris helps company leaders and teams clarify what they want to improve before choosing training or implementation. His hands-on AI consulting experience to date is with SMEs. The discovery conversation identifies your starting point; the follow-up report outlines proposed deliverables for the relevant programme.
Meet Chris Matthews and explore the approach →
Start with a free 20-minute discovery call. Receive a report outlining proposed deliverables afterwards. For focused advice, choose a one-hour consultation at US$150, with written follow-up.
LET’S FIND YOUR STARTING POINT
Bring the task.
We’ll help shape the training.
Tell us what you want to improve and who will take part. We’ll agree the programme scope, relevant exercises and resources, delivery arrangements and fees.
Opens your email app. Include your goal and experience level; leave confidential records out of the enquiry.