Enablement & training
Adoption you do not have to police, and reviewers who know what to look for.
What it is
Standardised playbooks and hands-on labs that teach your people to use AI responsibly, build simple agents themselves, and — the part nearly everyone skips — review agent output for reliability. Role-based rather than one-size-fits-all: one track for everyday users, one for the people who will build, and one for the reviewers who sign off on what an agent produced.
Who it is for. The teams living with AI day to day, and the managers who are accountable for what it produces.
The steps, in order
The same sequence every time, so you can tell where an engagement is up to without asking. How the phases fit together across a full programme is set out on our approach.
Shape the curriculum
The material is built around the agents you actually have and the processes they touch, not a generic AI-literacy deck.
Run the everyday-user labs
Hands-on sessions on the work people do each day, including what not to put into an assistant and why.
Run the builder track
For the handful of people who will build simple agents in-house: how to scope one, how to test it, and when to stop.
Run the reviewer track
The one usually missing: what a wrong output looks like, how to spot it quickly, and what to do when you find it.
Hand over the playbooks
Written playbooks and recorded labs your team owns, so a new starter next year gets the same training.
Check in at thirty days
A follow-up session on what stuck, what did not, and where adoption is quietly stalling.
What you walk away with
Named deliverables, handed over as artefacts you own and can use without us.
| Deliverable | What it contains |
|---|---|
| Role-based playbooks | Separate written playbooks for everyday users, builders and reviewers, tied to your deployed agents. |
| Recorded lab sessions | Your own recordings, so the training survives staff turnover without buying it again. |
| Reviewer checklist | A short, practical checklist for the people who sign off on agent output, with worked examples of failures. |
| Internal champion brief | A pack for the person who will own adoption internally once we leave. |
| Adoption baseline | Where usage and confidence sat before and after, so adoption is a number rather than an impression. |
How long it takes, and what it costs
1–2 weeks
Elapsed time from kick-off to handover, assuming your people are available for the sessions the steps above describe.
$15K – $30K Fixed price
Indicative only. This offering is not open for booking yet, and the band will be confirmed when it opens.
All price bands on this site are indicative ranges in AUD, ex-GST. The final fixed price is quoted per engagement once scope is agreed. Software licences (Claude, Microsoft 365 Copilot or another enterprise stack) are client-owned and passed through at vendor pricing — never bundled into our fee.
What it depends on, and what comes next
AI deployment & agent build
Deployed agents. Training people on capability they do not yet have is how enablement becomes shelfware.
AI deployment & agent build →Managed AI governance & agent care
The managed retainer, for organisations that would rather not carry the monitoring themselves.
Managed AI governance & agent care →Not open for booking yet
Available from 2027. We are not taking bookings for enablement today, and we would rather tell you that than sell you a date we cannot hold. Deployment engagements already include the handover training and run-book needed to operate what we build.