Company AI rollout

Make company-wide AI useful.

Give a growing AI rollout a shared foundation of current knowledge, clear ownership and appropriate access.

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The context gap

Buying AI seats is only the beginning. One team has a carefully maintained project, another copies old instructions, and a third starts every chat from scratch. The company has invested in tools, but the context behind the work is still personal.

01

Start with useful knowledge

Select a small set of maintained sources that help real company tasks. A reference-only starting point is valid; you do not need to approve every document before people get value.

02

Assign the decisions that matter

Identify the small set of rules where a wrong or stale answer changes the work. Give those rules an accountable owner and a defined audience.

03

Validate with everyday work

Try a proposal, a team handover and a product brief. Inspect the answers and source links with the people who understand the work.

Company context inside your AI tools

Illustrative example
You

Draft a proposal for a six-week operations review.

Used company context from Steer

A proposal that starts on the same page.

Our six-week review gives your team a clear operating baseline, a prioritised improvement plan and an owner for every next step.

  • Weeks 1–2 · Understand the current operation
  • Weeks 3–4 · Design the improvement plan
  • Weeks 5–6 · Agree ownership and next steps
Before you send

Use standard 30-day payment terms. A discount above 10% needs commercial-owner approval before the proposal is sent.

Read the example conversations

Commercial proposal

Employee request: Draft a proposal for a six-week operations review.

Current source: Service overview — The operations review runs for six weeks. The approved deliverables are an operating baseline, a prioritised improvement plan and named owners for next steps.

Approved guidance: Standard payment terms are 30 days. A proposed discount above 10% requires approval from the commercial owner. Owner: Commercial. Audience: Commercial team.

Illustrative answer: Our six-week review gives your team a clear operating baseline, a prioritised improvement plan and an owner for every next step. Weeks 1–2 · Understand the current operation. Weeks 3–4 · Design the improvement plan. Weeks 5–6 · Agree ownership and next steps. Use standard 30-day payment terms. A discount above 10% needs commercial-owner approval before the proposal is sent.

Team onboarding

Employee request: How does this team handle client handovers?

Current source: Client handover playbook — Every handover includes the current scope, open decisions, source links, the next milestone and its owner. The receiving team confirms that it can continue the work.

Approved guidance: The delivery owner is accountable for reviewing the handover. Client-sensitive material stays within its approved audience. Owner: Operations. Audience: Delivery team.

Illustrative answer: Start with the current client handover checklist. The delivery owner reviews the scope, open decisions and next milestone with the outgoing team. Prepare · Scope, decisions and source links. Review · Delivery owner confirms the next milestone. Complete · Receiving team acknowledges ownership. Keep client-sensitive material in its approved workspace. The shared checklist explains the process; it does not grant access to client files.

Product handoff

Employee request: Turn this brief into an engineering handoff.

Current source: Product brief — The brief describes a team-level reporting experience. The handoff must retain the approved audience, intended behaviour and unresolved decisions.

Approved guidance: Engineering handoffs include acceptance criteria, interface changes, permissions, failure behaviour and relevant verification. Unresolved decisions must have an owner. Owner: Engineering. Audience: Product & engineering.

Illustrative answer: Structure the handoff around the approved brief, acceptance criteria, permissions and the release checks your engineering team maintains. Define · Problem, audience and acceptance criteria. Specify · Interfaces, permissions and failure states. Verify · Functional, accessibility and release checks. Link the maintained specification. Unresolved requirements stay explicit and need an owner before implementation is approved.

One shared foundation. Context for the person and the task.Illustrative content · No live AI request

A more useful starting point

A repeatable way to prepare company context for AI, without asking every employee to become a prompt administrator.

Read the practical guide

A better starting point

Your next AI conversation.
With your company behind it.

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