AI business setup and governance
Accounts, single sign-on, access control, data policy, and workspace structure so a team can adopt AI tools deliberately instead of quietly.
AI business setup is the groundwork a company needs before rolling AI tools out to staff: the right accounts and plans, access control, a written data policy, and guardrails about what may be pasted into which tool. It is the difference between a team using AI deliberately and a team using it anyway on personal accounts. It is for businesses whose staff have already started, with or without permission.
The problem
Adoption almost never waits for a policy. By the time leadership discusses AI, people are already using it, usually on consumer accounts with company data.
- Staff are pasting customer data into personal accounts, and nobody can see what has been shared.
- The company pays for three overlapping subscriptions because each team bought its own.
- There is no answer for the client who asks whether their data is used for training.
- Nobody knows who has access to what, or how to revoke it when someone leaves.
- The one written rule is a blanket ban that everyone quietly ignores.
What we build
The right accounts and plans
Business or enterprise tiers where they matter, chosen on data handling and admin controls rather than on the feature list.
Access and identity
Single sign-on where available, group-based access, and a deprovisioning path so a departing employee loses access with everything else.
A data policy people will follow
A short, specific document: what may go into which tool, what may not, and who to ask when it is unclear. Written for the people doing the work, not for a compliance binder.
Workspace structure
Shared projects, prompt libraries, and document sets organised per team, so useful patterns spread instead of living with one power user.
A vendor answer
A plain summary of how each tool handles your data and what you can tell a client who asks, based on the terms that actually apply to your plan.
Usage and cost visibility
Knowing which teams use what, so renewals are a decision rather than an autorenewal nobody reviewed.
What you get at handoff
- The data policy as an editable document you own.
- An access map: who has what, and how to change it.
- Admin configuration documented, with your team holding the credentials.
- A short onboarding note for new staff.
- A review checklist for revisiting the setup as tools and terms change.
Stack
AI platforms
Claude, ChatGPT, Copilot, Cursor, Claude Code
Identity
SSO and SAML, Google Workspace, Microsoft Entra ID, Group-based access
Governance
Data policy, Retention settings, Admin controls, Audit logs
Enablement
Prompt libraries, Shared projects, Internal documentation
Related services
FAQ
Is this a compliance exercise?
No. A policy nobody reads changes nothing. The useful version is short, specific about the tools your staff actually use, and paired with accounts configured so the safe path is also the easy one.
Which tools should we standardise on?
That depends on what your team does. Document-heavy and analytical work, coding work, and customer-facing writing do not all point at the same tool. We look at the actual work before recommending, and consolidating to one tool is often the wrong answer.
How do we handle client data?
Start with what your contracts already commit you to, then check what each plan does with inputs, whether data is used for training, and what the retention settings are. Business and enterprise tiers usually differ from consumer ones here, which is often the main reason to pay for them.
What if staff are already using personal accounts?
Assume they are. The practical response is to give them a sanctioned tool that is at least as good, make access easy, and be specific about what changes. Enforcement without a usable alternative just moves the activity somewhere you cannot see.
Does this include training?
Setup and training are separate but usually sequential. This service gets the accounts, access, and policy right. Training gets people using the tools well on their own work. Many engagements do both.
Ready to scope AI Business Setup?
Send the workflow, tool stack, or reporting problem. We will tell you what should be automated, what should stay manual, and what is worth building first.