Case Study
An appointment enquiry assistant within administrative boundaries
This case study examines an administrative enquiry assistant that uses approved service information and routes unsupported requests to staff.
Read the case studyServices / AI training & adoption
Practical AI training built around how your team works
An AI subscription does not tell a team which tasks are suitable, what information they may use or how to judge the result. Automate Axis helps teams build those working habits. We combine a shared foundation with role-specific exercises, approved-tool guidance and practical operating examples. Training can support a new deployment or improve how an existing team uses its tools. The programme follows your roles and constraints, with reusable instructions and a way to review adoption after the session. We focus on helping people complete useful work with appropriate checks, rather than collecting prompts without a process.
A /
Practise a real task and the checks around it
Example
ROLE EXERCISE / CLIENT SERVICE
Summarise approved meeting notes.
Permitted input
Agreed meeting notes only
Required output
Action, owner and due date
Missing commitment
Mark it unknown; do not infer
Example task instruction
PREPARED DRAFT
The draft stays tied to the source.
Action
Supported by the notes
Owner
Named in the source
Due date
Unspecified → ask for confirmation
Draft, not a sent message
PRACTISE THE CHECKS
FACTS
Is the statement supported?
Compare the draft with the permitted source.
GAPS
What is missing or uncertain?
Identify omissions before anyone acts.
ACTION
Who owns the next step?
Keep sending and publishing authority explicit.
Revise → practise again
An accepted approach becomes a reusable instruction, with its review criteria.
Illustrative operating model · A source-based exercise demonstrates the review habit; it is not an automated sending workflow.
Illustrative brand artwork · AI training and adoption
Where it helps
Built around the job your team needs to do
Role-specific AI workshops
Work through suitable tasks from marketing, sales, operations, HR or other agreed roles. Use examples that reflect the team’s actual responsibilities and permissions.
Everyday task design
Turn a recurring task into a clear instruction with the necessary context, approved source material, output requirements and review criteria.
Knowledge and research assistance
Teach users how to work with permitted material, check sources, identify gaps and distinguish a supported answer from an assumption.
Content and communication workflows
Help teams prepare, adapt and review drafts using approved facts and brand guidance. Keep the publishing or sending authority clear.
AI adoption operating playbooks
Document approved tools, data-use rules, suitable tasks, escalation routes and the person responsible for maintaining the team’s guidance.
Pilot and adoption reviews
Support a defined trial, collect feedback and compare performance against an agreed baseline. Use evidence from the task to decide what should expand, change or stop.
What we deliver
A usable system, with a clear operating model
01
A practical programme plan
The audience, learning objectives, approved tools, suitable exercises and expected follow-up agreed before delivery.
02
Hands-on exercises and templates
Role-specific examples, task instructions, source-checking practices and reusable materials suited to the team.
03
Team operating guidance
A usable playbook for data handling, output review, unclear cases and the responsibilities around the workflow.
04
An adoption review method
The agreed feedback, task-quality checks and usage or outcome measures needed to assess whether the training is helping.
Choose the platform around your operation
Your approved AI environment
We assess the tools and account types your organisation allows. Training uses the permitted settings and features available to the participants.
Your business workflows
The programme can connect with a knowledge assistant, content workflow or other scoped implementation. Process and training should reinforce each other.
Suitable training material
Use synthetic, redacted or approved examples according to the task and audience. Confidential source material is included only with appropriate authorisation.
Agree the boundaries before the build
The engagement defines participant roles, sessions, exercises, reusable materials and follow-up. Tool procurement, enterprise configuration, a production automation build or an organisation-wide policy review are separate unless included explicitly. We do not promise a universal productivity uplift. Improvement is evaluated on agreed tasks, with attention to output quality, review effort and the team’s operating constraints.
A practical fit for your existing tools
Keep training tied to actual roles, approved tools and review habits. Avoid guaranteeing productivity gains before a baseline and task evaluation exist.
From discovery to a dependable handover
Discover and tailor
Review the roles, tools and current habits. Select useful tasks and agree what good output and appropriate review look like.
Practise and apply
Run the scoped sessions with hands-on exercises, feedback and reusable instructions tied to the actual work.
Embed and review
Provide the agreed playbook and follow-up. Review task evidence and adoption feedback before expanding the programme.
A /
Turn training into an owned working habit
Example
LEARNER
Complete the task and review it
Use approved tools and bring unclear cases back.
TEAM CHAMPION
Maintain useful working examples
Collect feedback and improve task instructions.
TOOL ADMINISTRATOR
Maintain access and tool settings
Coordinate account, data and configuration changes.
ONE OPERATING REFERENCE
Approved tools • permitted data • review criteria • escalation route
Practical exercises use this guidance; findings from the pilot can update it.
REVIEW THE TASK, NOT JUST TOOL USAGE
Output quality
Supported and usable work
Review effort
Corrections and checking needed
Completion time
Compared with an agreed baseline
User feedback
Where the process still gets stuck
Pilot → evidence review → expand, revise or stop → update the playbook
EXPAND
Useful and controlled
Extend the tested use case within agreed boundaries.
REVISE
Needs a better approach
Change guidance, inputs or task design.
STOP
Not an appropriate fit
Retain the simpler or safer working method.
Illustrative operating model · Pilot evidence determines whether a task should expand, change or stop. No improvement results are implied.
Across your organisation
A capability that connects teams
The first use case can sit in one department. Shared records, approvals and handoffs are designed with the wider operation in mind.
The details, answered
Questions before you get started
Is this a general introduction or hands-on training?
The programme can include a shared introduction, but the main work is practical. We use specific roles, approved tools, realistic exercises and a method for reviewing the output.
Can you train a small team or several departments?
Yes. The audience and format are scoped around your needs. A cross-department programme can share common guidance while using separate exercises for different roles.
Will you train us on the tools we already use?
Where the tools and account features support the intended tasks, yes. We confirm the approved environment and participant access before finalising the exercises.
How do we know the training worked?
Agree the tasks and evaluation criteria in advance. Quality, completion effort, review effort, confidence and the frequency of useful application can inform the review; attendance alone is not an outcome.
The next step
Build a clearer next step for your business
Bring a real example, your current tools and the decision or workflow you want to improve.
Plan your team’s AI training