Edison AI
Training · S06

AI Adoption Programme

Six weeks of structured uplift. The premium product for Australian SMB teams ready to commit to AI as an operating change, not a side project. By the end of week six, AI use is operational across two priority functions and the standard is owned by the business.

The problem

The pattern we keep seeing.

A team runs a foundations workshop in March. Adoption jumps. Three weeks later, sales is using AI heroically, operations isn't, and marketing has built a private library nobody else can access. Six months later, the team is back to where it was, with one extra licence cost on the P&L. The workshop worked. The structure after it didn't exist.

  • One workshop alone won't move the business.

    Foundations buys you one week of enthusiasm. Without structure after, the team drifts back to old habits inside a month.

  • Function-level wins don't compound on their own.

    Sales gets faster, but operations doesn't notice. Marketing builds a library, but finance never sees it. AI capability stays siloed and the business stays slow.

  • Without a cadence, managers stop reviewing.

    Adoption decays quietly. The manager who used to spot-check AI work moves to the next priority and the standard slips. Nobody calls it out.

What it is

What is Adoption Programme?

A structured six-week AI adoption programme that combines team foundations, two role-based workflow rebuilds, a productised prompt library, a responsible-use policy and fortnightly leadership check-ins.

Six weeks of structured uplift. The premium product for Australian SMB teams ready to commit to AI as an operating change, not a side project. By the end of week six, AI use is operational across two priority functions and the standard is owned by the business.

Edison AI delivers a six-week structured AI adoption programme for Australian SMB teams (20–250 staff). The programme combines a team foundations workshop, two role-based workflow rebuilds, a productised prompt library, a responsible-use policy and manager check-ins every fortnight. Outcome: AI use becomes operational, not optional, with measurable adoption and time-back per function. Typical investment: $35,000–$90,000 plus GST.

Start with foundations firstDesign the agentic operating model
Why this matters now

The shifts you can't postpone.

Three shifts that move adoption from optional to operational this quarter.

  • 01

    The compounding window is short.

    Teams that fix adoption this quarter will be two quarters ahead by year-end. The gap widens monthly.

  • 02

    Boards are asking for a plan, not a list of pilots.

    'What's our AI rollout?' is now a board question. The right answer has a timeline, a cadence and named outcomes, not a slide of vendor logos.

  • 03

    Operating change requires structure.

    Tools don't deliver outcomes. Cadence does. The adoption programme is the cadence. Six weeks, four check-ins, two functions, one written standard.

Deliverables

What you get.

  • 01

    Rollout plan (Week 0)

  • 02

    Foundations workshop + two role-based workshops

  • 03

    Productised prompt library for two priority functions

  • 04

    Responsible-use policy + approved-tools register

  • 05

    Manager review protocol + 4 fortnightly leadership check-ins

  • 06

    Adoption metrics dashboard + written close-out report

By business sector

Where this shows up.

  • Professional services

    Functions to rebuild

    Client communications + the proposal lifecycle.

    Outcome

    Faster, more consistent senior-grade output across juniors. The proposal drafting bottleneck is replaced with a productised prompt library every fee-earner can run.

  • Trades & field services

    Functions to rebuild

    Quoting + scheduling communications.

    Outcome

    Faster quote turnaround, fewer double-booked jobs, fewer 'I never got the quote' emails.

  • Retail / e-commerce

    Functions to rebuild

    Product content + customer support.

    Outcome

    Faster catalogue updates, tighter response times, consistent tone across both channels.

  • Health / allied clinics

    Functions to rebuild

    Admin (intake, recall, communications) + clinical note drafting where compliant.

    Outcome

    More clinician time on patients, less after-hours admin.

  • Manufacturing & wholesale

    Functions to rebuild

    Supplier communications + internal reporting.

    Outcome

    Tighter operating rhythm, less Monday-morning scramble. The weekly status takes 20 minutes, not two hours.

  • Real estate

    Functions to rebuild

    Listings + buyer/seller communications.

    Outcome

    Faster turnaround on properties, more consistent agent voice. The principal stops rewriting drafts.

How we work

The engagement.

  1. Step 01

    Diagnose

    Week 0 leadership intake. Written rollout plan identifying the two functions worth rebuilding and the cadence the team can sustain.

  2. Step 02

    Design

    Workshop arcs designed against your real workflows. Prompt library scaffolded. Responsible-use standard drafted. Leadership cadence locked in.

  3. Step 03

    Deploy

    Live workshops + productisation + governance across six weeks. Two functions rebuilt with AI end-to-end. Manager review protocol embedded.

  4. Step 04

    Embed

    Week 6 adoption check, governance handover and written close-out report. Optional 90-day cascade into additional functions.

Outcomes

What changes.

  • 70%+

    Team-wide AI adoption within six weeks.

    Measured at the close-out check on teams entering the programme below 40% adoption. The cadence holds the standard.

  • 2

    Functions with workflow-level AI capability shipped.

    Real workflows, rebuilt, with prompts the business owns and can keep using after the programme ends.

  • A complete operating standard the team owns.

    Policy, register, library, manager review protocol. The artefacts your customers, board and auditors are starting to ask about. Written and handed over by week 6.

Best fit

Who this works for.

This is for you if…

  • You run a team of 20–250 and want one shared rollout, not piecemeal training
  • You've tried a single workshop and adoption didn't stick
  • You're ready to commit to a six-week cadence with leadership at four check-ins
  • You want measurable adoption, not enthusiasm
  • You're preparing to implement AI agents and want team capability before the tools
  • You want one engagement that covers training, productisation and governance

Not the right fit yet if…

  • You're a team of under 10 and a foundations workshop is enough
  • Leadership can't commit to fortnightly check-ins
  • You want training without productisation or governance
Start with a foundations workshop instead
Comparison

How this compares.

Five common ways teams try to lift adoption across the business. One of them holds.

  • One workshop + DIY

    Gives
    Cheaper, lighter touch
    Falls short
    Adoption decays within a month
    Edison difference
    Six-week cadence holds the standard

  • Hire a junior AI champion

    Gives
    Internal energy
    Falls short
    Capability stays in one head; walks if they leave
    Edison difference
    Programme produces owned IP and a written standard

  • Big consultancy transformation

    Gives
    Comprehensive, brand-credible
    Falls short
    Six figures, slow, off-the-shelf
    Edison difference
    Boutique, six weeks, fixed quote

  • Free / cheap LinkedIn Learning rollout

    Gives
    Cheap, scaled
    Falls short
    No real work attempted, no cadence
    Edison difference
    Programme runs on the team's real workflows

  • Stagger across 12 months

    Gives
    Easier on the calendar
    Falls short
    The gap widens through the year
    Edison difference
    Compresses adoption into a single quarter

  • Edison AI

    Operator-grade, founder-led, fixed quote. Built around your real stack and workflows , not a binder, a brochure, or a six-figure off-the-shelf programme.

Objections

What buyers ask first.

  • “Six weeks feels like a lot.”

    Six weeks is the shortest programme that produces durable adoption. Anything shorter buys enthusiasm; anything longer is consultancy theatre.

  • “Will leadership really need to show up?”

    Yes. Four fortnightly check-ins, 30 minutes each. Adoption fails when leadership is absent from the cadence. This is the programme's safety rail.

  • “What if our team is too small?”

    Below 20 staff, a foundations workshop plus one role-based training is usually a better fit. We'll tell you in the Week 0 diagnostic if the programme isn't right yet.

FAQ

Common questions.

  • What's the investment range for an AI adoption programme in Australia?

    $35,000–$90,000 plus GST depending on team size, functions selected and depth of governance work. Most engagements land between $48,000 and $65,000.

  • Can we run it remotely?

    Yes. Fully remote, hybrid or in-person. Most programmes run hybrid with the foundations and role-based workshops in-room and the manager check-ins on video.

  • What's the leadership time commitment?

    Around 5 hours across six weeks for the sponsor (diagnostic + 4 fortnightly check-ins + close-out). Function leads commit ~10 hours each across their workshop, productisation and review sessions.

  • Which two functions should we choose?

    The Week 0 diagnostic identifies them. Typically the bottleneck function and the function with the most repeatable text work. We'll recommend; you decide.

  • What happens after week 6?

    Optional 90-day cascade for additional functions, or hand off to a Bespoke AI System engagement. Many clients pair the programme with the agentic operating model engagement next.

  • Who pays for the AI tool licences?

    You do. The Week 0 diagnostic confirms which licences you need (typically Claude Teams, ChatGPT Enterprise, Microsoft Copilot or Google Gemini for Workspace). Most teams already have most of what they need.

  • How is this different from a workshop or role-based training on their own?

    Workshops train. Role-based training rebuilds workflows. The programme adds productisation, governance, manager cadence and a written standard. Turning training into operating change.

  • Does the programme cover responsible AI and the operating model?

    Yes. Both are included in the standard scope. Deeper governance or agentic operating model work can be added on if the business is ready to move beyond the programme baseline.

Industries this service supports

The same service creates different leverage depending on your industry.

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Next step

Ready to scope ai adoption programme?

A 20-minute call is enough to know whether this is the right fit and what a first engagement would cover.

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