20 minutes · No commitment
The foundation layer
Context Install
Before you decide which AI to fund, your team needs one governed place to actually run it. We install that foundation — shared context, roles, supervision, and guardrails — into your business.
A system your people use, not a training they forget by Friday
Sydney & Melbourne
A workshop decides what to build. Context Install is the ground you build it on.
What we install
Four things, set on day one.
Not a login and a licence. A governed layer your whole team runs AI through — with the rules, roles, and boundaries built in before anyone types a prompt.
Shared context
One governed place your team runs AI from — the same operating context, house rules, and reference material behind every seat. Not a hundred private ChatGPT tabs with a hundred different answers.
Per-person seats and roles
Each person gets a seat scoped to their role — owner, advisor, compliance, or admin. What they can see, run, and change is set on the way in, not left to chance.
Supervision and sign-off
Supervised seats can't send work to a client without a named person's approval. Junior and offshore staff get the leverage of AI without the exposure of unchecked output.
Compliance boundaries
What each seat may touch, what never goes near AI, and who is accountable — written down and enforced, including seats on machines the business doesn't own.
The seats
Everyone gets a seat. Not everyone gets the same one.
Each person is installed with a role that sets what they can see, run, and change. Supervision and accountability are part of the seat, not an afterthought.
Owner
Holds the layer. Sets the house rules, approves changes, and carries final accountability for what the business's AI does.
Advisor
Does the day-to-day work through AI. Can be supervised — output routes through a named approver before it reaches a client.
Compliance
Sees the boundaries and the audit trail. Owns what never goes near AI and where the lines sit for regulated or sensitive work.
Admin
Runs the seats. Adds and removes people, stamps new seats from the template, keeps access current as the team changes.
Where it sits
Foundation first.
Context Install comes before the workshop. Lay the governed ground, then decide what to fund on top of it. The audit can sit either side.
Foundation
Context Install
The governed layer goes in. Shared context, roles, supervision, and compliance boundaries — so whatever you fund next lands on solid ground instead of scattered private accounts.
Either side
Shadow AI Audit
Map where AI is already being used off the books. Runs before the foundation to size the problem, or after to check nothing slipped the net. See the audit.
Then
Decision Discipline Program™
With the ground laid, the workshop decides what to fund, kill, or park — and ships it with owners, metrics, and a 90-day cadence. See the Program.
Is This Right For You?
Right fit / Not a fit
Context Install is for you if:
- Your team is using AI on scattered individual accounts, with no shared context and no visibility
- You have offshore staff, or people on machines the business doesn't own, and the exposure worries you
- Compliance or a regulator will eventually ask what your team feeds AI — and you don't have an answer
- You want AI leverage across the team without junior output reaching clients unchecked
- You're about to run the workshop and want the ground laid before you decide what to fund
This is not for you if:
- One or two people using ChatGPT occasionally, with nothing to govern yet
- You want a training on how to write prompts (this installs a system, it isn't a course)
- You want bespoke software built (this is a governed context layer, not a product build)
Lay the ground
Give your team one governed place to run AI.
20 minutes. We’ll tell you if the foundation is what you need first — or point you somewhere better.
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