Skip to main content

SERVICES / TEAM LEARNING

Practical AI skills for everyday work

Help your people understand AI, use it appropriately and judge whether it helps.

For beginners, occasional users and teams ready to deepen their practice. Ordinary workplace computer skills are enough to start. Nobody needs a previous AI course or a chosen workflow; we check approved tool and account access with you before hands-on sessions.

Fixed fee · written scope before you commit · price discussed privately

WHAT PEOPLE LEARN TO DO
  1. UnderstandWhat AI tools do well and badly, enough to make informed choices.
  2. Use and briefUse the selected tool, explain a task clearly and improve the response.
  3. CheckTest claims against the source and spot mistakes or uncertainty.
  4. OwnStay responsible for the decision and know when to ask a qualified person.
  5. Judge valueWeigh quality and the full human effort, including when to stop.

01 / FOUNDATIONS

Half a day, start to finish

210 minutes in person, or two 105-minute live online sessions. 8–16 people, one approved tool, no homework.

  1. 10 min

    Access and safety

    The approved tool, safe practice material and how to raise a problem. Nobody types until this is clear.

  2. 25 min

    Essentials and a demonstration

    What AI tools can and can’t do, and why fluent output can still be wrong. A shared demo turns a supplier notice into a useful note.

  3. 20 min

    Suitable and permitted use

    When AI fits, when to check harder and when to hand the question to a qualified person.

  4. 45 min

    Guided briefing practice

    Everyone works on one common exercise. Step-by-step guidance is there for anyone who wants it, with a stretch task for early finishers.

  5. 15 min

    Break

  6. 40 min

    Checking, feedback and value

    Regroup on common errors, check against the source, correct, count the full effort and decide whether it helped.

  7. 35 min

    Your own fresh attempt

    A new case with less guidance, done individually. Pairs can practise together earlier, but this evidence is yours.

  8. 20 min

    Next action

    One suitable next use, or a reasoned decision not to use AI, with the access and time to follow through.

HOW ONE GROUP LEARNS TOGETHER
  1. One explanation and demonstration for the whole group
  2. One common exercise, with optional step-by-step guidance
  3. A harder variation for early finishers while the facilitator helps others
  4. A checkpoint to talk through common errors and reasoning
  5. A short individual attempt with less guidance

One lesson for everyone, with more or less support. Experience changes the guidance and the stretch, not the course.

SET IN YOUR CONTEXT
  • Your approved tool and kinds of documents; the core lesson stays the same
  • Public or fictional practice material
  • Outside the classroom: restricted data, live connector writes, production builds and professional advice
FOLLOW-UP INCLUDED
  • A shared 45-minute clinic around day 14
  • A brief check around day 30 on use, support and obstacles

02 / TRY IT

Try the common exercise

Open to anyone: no form, no email, no login. Everything below is a fictional method demonstration. No client, learner results, paid demand or realised savings are represented.

THE SUPPLIER NOTICEFictional method demonstration

Standard orders placed before noon are dispatched the next business day. Delivery takes a further two to four business days. Timing for custom orders is agreed separately.

AI draft

“All orders arrive next day.”

Wrong

The draft drops the noon condition, merges dispatch with delivery and ignores custom orders.

  1. THE TASK FOR EVERYONE

    Write a short, source-grounded note

    Keep the conditions, separate dispatch from delivery, check every claim against the notice and count the whole effort.

  2. IF YOU’RE NEW TO THIS

    Start from a partial brief

    Optional step-by-step prompts and checking questions, available to anyone who wants them.

  3. IF YOU FINISH EARLY

    Try it on a different notice

    A harder variation tests whether your approach holds up on new material.

  4. AFTER FEEDBACK

    A fresh case of your own

    Each learner gets a different private case. This public sample doesn’t show the assessment answers.

A fictional learner could correctly reject the promise, explain what the source actually says and decide not to use AI for this task because checking takes longer than writing it. That shows judgment; it isn’t a real learner’s result.

Talk about your first team

03 / TWO WAYS IN

Start where your people actually are

There’s no compulsory ladder. People who can already show practical competence can start further along, and prior learning is reused rather than taught or charged twice.

FOR EVERYONE WHO USES AI AT WORK

Foundations

Half a day · 8–16 people · beginners welcome

The essentials, guided practice with feedback, and a fresh attempt of each person’s own, with a follow-up clinic.

See the curriculum
FOR LEADERS DECIDING WHERE AI FITS

Leadership Decisions

Two hours · up to 12 leaders

Leaders learn to evaluate AI opportunities, question benefit claims and make informed decisions later on. They practise the method on their own organisation’s real questions with feedback on their reasoning, then each explains an unfamiliar case on their own.

  • A decision record in the leaders’ own words within two business days, with an owner and date for anything unresolved
  • Around day 30, a shared 20-minute reflection or a brief private written response on applying it to later decisions

This is teaching, not an expert assessment of your organisation; that’s separately scoped consulting. It never grants permission for hands-on or production use.

For teams further along, on request

  • Applied team lab. A 210-minute lab where 6–16 people who have already shown practical competence build, test and repeat a small working kit.
  • Six-week coached capstone. One team of 12–16 builds, tests, improves and continues a repeatable working practice, with coaching and a team readout.

Booking the AI Safe-Use Setup? Its 3-hour hands-on session teaches the same essentials, built around your new policy and your team’s real tasks.

04 / VALUE AND EVIDENCE

What it’s worth, and who sees what

FOR THE PEOPLE LEARNING
  • Skills they can use in their own work
  • Confidence that comes from practice and feedback
  • Easier work, where testing shows it actually helps
FOR THE SPONSOR
  • People who can judge when AI helps and when it doesn’t
  • Application in real work, not just attendance
  • Evidence that fits the question, kept in separate layers
WHAT MANAGERS PROVIDE
  • A real opportunity to practise, and protected time
  • Permitted tool access and someone to give feedback

Agreed during intake. The follow-up records the support people actually got; missing opportunity isn’t failed learning.

Learning evidence stays private

Wrong attempts are part of learning, so they aren’t reported upwards. Sponsors never receive individual scores, raw reflections or identifiable complaints about manager support.

We don’t pretend small groups are anonymous. Groups under five aren’t reported as counts or quotes, and themes that would identify someone are left out or reworded.

Each participant
Their own feedback, assessment and support record.
The facilitator
Private, identifiable learning evidence and support needs, held in an agreed restricted place.
Managers
What they observe directly and the support they agreed to give. Not confidential intake or assessment.
The sponsor
Delivery status, protected group themes and agreed workflow-level evidence.

Can be reported“Participants need more protected practice time.”

Never reported“The only junior employee said their manager denied time.”

Five things kept separate

Learning
A fresh, individual demonstration against clear criteria.
Application
Appropriate repeat use, including reasoned decisions not to use AI.
Enablement
The time, access and feedback managers actually provided.
Work value
Quality and the full human effort, including checking.
Financial return
Realised money over a defined period, after all costs.

Attendance, satisfaction, more AI use or a polished report aren’t evidence of capability or ROI.

This learning offer is new, so there are no learner or client results to show yet. Testimonials elsewhere on this site describe consulting work, not learning outcomes.

05 / PRACTICAL QUESTIONS

Questions buyers ask first

What do our people need before they start?

Ordinary workplace computer skills are enough for Foundations. Nobody needs a previous AI course or a chosen workflow. The practical preparation is an approved tool and use, working logins, safe practice material and the time to attend. We run a short private intake on access and experience and check logins before hands-on sessions.

Our people range from complete beginners to regular users. Does that work?

Usually. Everyone follows the same lesson; beginners can use step-by-step guidance and experienced people get less guidance and a stretch task. If the intake shows the gap is too wide to manage in one room, we’ll recommend separate groups or scoped preparation before you commit.

How much time does it ask of people?

Foundations: 3.5 hours, a 45-minute clinic and up to five minutes around day 30. Leadership Decisions: two hours, then a 20-minute shared reflection or a short written response around day 30. These are planning estimates we confirm in your quote; they haven’t yet been checked against real cohorts.

What does it cost?

Each route has a fixed fee with clear limits on participants and support, set out in a written scope before you commit. We discuss price once we understand who is learning and what they need.

Is this consulting?

No. The learning is worth buying on its own. Broader work, such as investigating your organisation’s readiness or risk, giving recommendations or building integrations, is optional consulting, scoped and quoted separately. It reuses relevant evidence from the learning so you don’t pay twice for the same assessment, and it’s never a required next step. Learning fees don’t become credits toward consulting.

Who runs it?

Ossama Mughal, the founder, in the room or on the call. 10+ years delivering data science, automation and enterprise technology programs across major Australian banks, federal government and regulated environments, including discovery workshops and use-case prioritisation.

Where is our data stored, and is it used to train models?

That depends on your tool vendor’s actual terms, which we check with you rather than making blanket promises. Any personal data collected during delivery, such as an optional survey, is covered by a data notice that names where it is actually stored, who can see it and how long it is kept.

Is this an accredited qualification or a compliance sign-off?

No. It is practical capability learning. It isn’t legal or professional advice, and a leadership session or observed competence never grants permission for production use.

NEXT

Tell us what your people need to learn, even if you haven’t chosen a workflow.

Name, email and company are enough. We reply within one working day to agree next steps and a bounded fixed-fee scope. No automatic booking, list or sequence.