Name the authoritative source
Identify the maintained source for each important topic. An old presentation should not quietly compete with the current service definition.
Consistent AI output
Give different AI tools a shared starting point.
Make the same current references and published company guidance available across supported AI tools.
Join the waitlistThe context gap
A proposal in ChatGPT and a brief in Claude can start from different assumptions. One person pasted the old service description. Another has a private set of instructions. Nobody is sure which version should apply.
Publish shared guidance once
Owners approve the rules and audiences in Steer. Employees do not need to maintain separate copies of that guidance in each supported AI tool.
Check the output, not just the connection
Use realistic prompts to verify source use, appropriate guidance and access. An installed connector alone is not proof of answer quality.
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 common foundation for company work, while people keep using their preferred supported AI tools. Models still decide how to use the context, so meaningful output review remains important.
Read the practical guideA better starting point
Your next AI conversation.
With your company behind it.
We’re onboarding companies in stages.
Join the waitlist and tell us what your team needs.