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Human-Led AI · Groundwork

Groundwork: the foundation your AI stands on. All seven layers, published.

Most AI projects fail on the plumbing, not the AI. Groundwork is the seven-layer foundation I build once in your Microsoft 365 tenant so every assistant you add afterwards inherits the same identity, boundaries, guardrails and audit trail. Here's the whole thing. Read it, use it, hand it to your IT provider. Or have me build it at a fixed price and hand you the keys.


Why I give the framework away.

Because the value isn't in knowing the layers. It's in having them done properly, tested, and documented in your own tenant. If you read this and build it yourself, good: you were never going to hire me, and your business is safer for it. If you read it and realise the scope, we should talk.

Publishing it also keeps me honest. You can hold my delivery against my own checklist.


The seven layers at a glance

Groundwork seven layers at a glance
#LayerThe question it answersWhat you get
1IdentityWho is the AI, when it acts?Dedicated identities, least-privilege access, no shared admin accounts
2Data boundaryWhat may the AI see, and what may it never see?Labelled data, DLP rules, a written boundary
3Build surfaceWhere do assistants get built, and by whom?Separated environments, connector policy, named builders
4GuardrailsWhat may the AI never do, and when must it stop and ask?Approval gates, hard stops, escalation to a person
5Audit trailWhat did it do, to whom, when?Every action logged and attributable, retained
6Change controlHow does a new assistant get approved and added?An agent register, an approval path, a graduation record
7RunbookCan your team build the next one without me?Documentation, templates, and half a day of enablement

Layer 1 — Identity. Who is the AI, when it acts?

The problem it solves. The fastest way to build an assistant is to run it as the owner's account. It works on day one, and it means the AI can read every email, open every file and act as the most powerful person in the business. When something goes wrong, the log says the owner did it.

What gets built. Each assistant gets its own identity in Microsoft Entra, with exactly the access it needs for its one task and nothing more. No shared accounts. No standing admin rights. If an assistant is retired, its access is removed in one place.

What you get. A list of every AI identity in your business, what each one can touch, and who owns it. If your insurer asks "what can your AI access", you hand them the list.

Acceptance criteria. No assistant runs under a personal account. Every assistant identity has a named human owner. Access is documented per identity.


Layer 2 — Data boundary. What may the AI see, and what may it never see?

The problem it solves. AI is only useful if it can read your business information, and that's precisely the risk. Most SMB tenants have years of accumulated over-sharing: sites open to "Everyone", ex-staff still in groups, client files with no classification. An assistant pointed at that inherits all of it.

What gets built. Your sensitive data is identified and labelled: client records, financials, staff information, anything under a contractual or legal obligation. Data loss prevention rules stop that information leaving for consumer AI tools or unapproved destinations. A written boundary states, in plain English, what assistants may read, what they may never read, and what happens when they encounter something unclear.

What you get. One page your team can understand: "our assistants can see this, can never see that". Plus the technical controls that enforce it, so the boundary doesn't depend on anyone remembering.

Acceptance criteria. Sensitive data categories are labelled. DLP blocks those categories from leaving to unapproved AI services. The boundary document is signed off by the business owner.

This layer is where Groundwork meets security. If your tenant has never been through a health check, this is usually where we find out.


Layer 3 — Build surface. Where do assistants get built, and by whom?

The problem it solves. Without a defined place to build, assistants end up scattered: one in a personal Power Automate, one in a trial tenant someone spun up, one in a vendor's platform on a credit card. Nobody knows what exists, and nothing can be handed over.

What gets built. Dedicated environments in your Microsoft Power Platform for building and for production, so a half-finished assistant can't touch live data. A connector policy that states which systems assistants may connect to. Named builders: the people in your business permitted to create and change assistants.

What you get. Every assistant lives in a place you own, under an account you control, built by someone you've named. Switch vendors, switch consultants, switch staff: it stays.

Acceptance criteria. Separate build and production environments exist. Connector policy is applied and documented. Builder roles are assigned to named people.


Layer 4 — Guardrails. What may the AI never do, and when must it stop and ask?

The problem it solves. The Autonomy Spectrum only works if the levels are enforced by the system, not by good intentions. "A person approves before it sends" has to be a gate the assistant cannot bypass, not a habit.

What gets built. Approval gates matched to each task's level. Hard stops: actions no assistant may take regardless of level, such as sending payment details, changing access, or contacting anyone on a do-not-contact list. Escalation rules: what "unusual" means for each task, and who gets it when it happens.

What you get. Confidence that an assistant at Level 2 genuinely cannot send without approval, and one at Level 3 genuinely cannot touch the things you've said are off-limits. When you move a task up a level, the gate changes and nothing else does.

Acceptance criteria. Each assistant's level is enforced technically. Hard-stop list is documented and tested. Escalation routes to a named person and has been exercised at least once.


Layer 5 — Audit trail. What did it do, to whom, when?

The problem it solves. The question you'll eventually be asked, by a client, an insurer or yourself at 11pm, is "what did it send to whom on Tuesday". If the answer takes longer than a minute, you don't have governance; you have hope.

What gets built. Every assistant action is logged with the identity that performed it, the input it acted on, the output it produced and the human who approved or reviewed it. Logs are retained for a period you set and can't be edited by the assistant. A weekly summary lands with the task owner.

What you get. Answers in thirty seconds. Evidence for the graduation decisions in the Autonomy Spectrum. A record that satisfies the "how do you control your AI" question in a client security questionnaire.

Acceptance criteria. Every assistant action is attributable to an identity and a human owner. Retention period is set and documented. The weekly summary is delivered and read.


Layer 6 — Change control. How does a new assistant get approved and added?

The problem it solves. The first assistant is built carefully. The fifth is built on a Friday afternoon by someone who's confident now. Without a lightweight process, the foundation erodes one shortcut at a time.

What gets built. An agent register: one list of every assistant, its task, its level, its owner, its identity, when it was last reviewed. An approval path fit for a small business: a one-page request, a named approver, a checklist against the six layers above. A graduation record for level changes.

What you get. You always know what AI is running in your business, who's responsible for each piece, and that nothing got added without meeting the standard. When a client asks for your AI register, you have one.

Acceptance criteria. Register exists and is complete. Approval path is documented and has been used for at least one assistant. Level changes are recorded.


Layer 7 — Runbook. Can your team build the next one without me?

The problem it solves. Every consultant says "no lock-in". The test is whether your own person can add an assistant six months after I've gone. If they can't, the lock-in is real, whatever the contract says.

What gets built. Documentation of the six layers as they exist in your tenant, in language your nominated person can follow. Templates for the common assistant types. A half-day enablement session where that person builds an assistant on Groundwork with me watching, and then one without me watching.

What you get. Independence you can test. If you never call me again, the foundation keeps working and your team keeps building. If you do call me, it's because you've chosen to.

Acceptance criteria. Your nominated person has built one assistant end-to-end on Groundwork. Documentation is stored in your tenant. Enablement is delivered and signed off.


Three to five weeks. Fixed price. Written acceptance for every layer.

Groundwork is scoped on a single-page proposal that lists the seven layers and the acceptance criteria above, adjusted for your business. You sign off each layer as it's done. The engagement ends with a handover you could show an auditor, and the enablement session that makes you independent.

Most businesses find the licence review that runs alongside it covers the cost.

Groundwork

The seven-layer foundation built in your tenant: identity, data boundary, build surface, guardrails, audit trail, change control, runbook.

from $7,500 + GST

3–5 weeks · fixed price

View on pricing →

Built to the standards you'll be asked about.

The data boundary and audit layers are designed so you can answer the AI section of a client or insurer questionnaire directly. The identity and guardrail layers align with the access-control expectations of the ACSC Essential Eight.


FAQ

Do we need Microsoft 365 for Groundwork?

Groundwork as described is built in Microsoft 365 because that's what most Australian SMBs already own, and it includes most of the controls. If you're on Google Workspace, the layers are the same and the tools are different; talk to me and I'll tell you honestly whether I'm the right person to build it.

Do we need Copilot licences?

No. Groundwork is the foundation, not the AI model. Assistants can run on Copilot Studio, on other models, or a mix, and you choose based on cost and fit.

Can our IT provider build this from your page?

Yes, and I've written it so they can. If they do, ask them to give you the acceptance criteria signed off per layer. That's the part that usually gets skipped.

How is this different from an AI policy?

The policy is what your people agree to. Groundwork is what the system enforces whether or not anyone remembers the policy. You need both.

If you make us independent, why would we keep paying you?

Most clients don't, for the foundation. Some come back for the harder assistants, or for the quarterly review once they've built more than they expected to. That's a choice, not a contract, and it's how I'd rather work.

Start wherever you're comfortable.

  1. Low commitment

    Fixed price, one week, a scorecard and a roadmap you keep whether or not we go further.

  2. Direct

    No pitch. Worst case you leave with two or three things worth fixing.