Company context is the information an AI tool needs to do useful work for a particular organisation: what the business does, which sources are current, how work should be done and what the person asking is allowed to know. It helps turn a general-purpose assistant into a better-informed participant in a specific task.
Why a good model can still produce the wrong company answer
A model can write a polished proposal without knowing your approved service description, current payment terms or approval process. Its writing ability does not establish which version of those details your company uses. The resulting document can sound plausible while creating avoidable work for the person checking it.
Consider a fictional consultancy with an old sales deck, a current commercial handbook and a draft package description. All three mention the same service. Giving an assistant every document does not, by itself, tell it which one should govern a proposal. The missing information is the relationship between those sources and the task.
Stop explaining the company from scratch
Maintain one short company brief in a source your team already owns. Include what the company sells, who it serves, the current terminology and links to the authoritative documents. Keep the employee’s task, customer details and desired output in the individual request. This separates reusable company knowledge from information that changes on every job.
For a small team working in one AI workspace, a shared project with maintained knowledge and instructions may be enough. Check who can see the material and who will update uploaded copies. When several tools or audiences need different context, evaluate a managed connection instead of multiplying personal prompts.
The fictional record below shows the minimum useful context for one proposal. It is an operating example, not a claim that any particular connector automatically verifies these decisions.
| Context field | Filled example |
|---|---|
| Task | Draft a six-week operations review proposal |
| Current source | Commercial handbook / Operations review, maintained by the commercial team |
| Reference facts | Six-week scope; discovery, analysis and recommendations; current standard payment terms |
| Approved guidance | Obtain the commercial owner’s approval before offering non-standard terms |
| Owner and audience | Commercial director; authorised commercial team members |
| Review trigger | Service scope or payment policy changes; an employee reports a conflicting answer |
| Employee supplies | Client objectives, requested start date and proposal format |
Separate useful knowledge from instructions to follow
Company knowledge includes facts, explanations, documents and evidence. A project brief, product specification or meeting summary can help an assistant understand a request. Most of this material should remain reference information. Connecting it should not turn every sentence into company policy.
Approved guidance is narrower. It tells people how the company expects recurring work to be done: which claims are acceptable, when an approval is needed or which methodology is authorised. That guidance needs an accountable owner and a clear audience. Treating these two categories differently keeps useful information accessible without creating a review queue for every file change.
| Material | Useful role | Example |
|---|---|---|
| Reference knowledge | Help understand the task | The current description of a service |
| Approved guidance | Explain a company requirement | Discounts above the agreed threshold need approval |
| Historical evidence | Explain a previous decision | A superseded version of the commercial handbook |
Current, authoritative and accessible are different questions
The newest document is not necessarily the authoritative document. A recently edited draft may still be less authoritative than a published handbook. Equally, a document can be authoritative without being appropriate for every employee. A company needs a way to express each of these distinctions.
For a particular answer, ask three questions. Is this information current enough for the task? Is this the source the company has designated for the topic? Can this person receive it? A source’s timestamp answers only part of the first question. Naming owners, identifying current sources and checking access supply the rest of the context.
A useful starting set is smaller than a company-wide crawl
Start with a few tasks where missing context already causes rework. Preparing proposals, onboarding a teammate and turning a product brief into a handoff make useful candidates because someone can explain what a good result should contain. Select the sources needed for those tasks before connecting additional material.
For a proposal example, the starting set might contain the service catalogue, commercial handbook and a short approved positioning statement. Add the correct team audience and a named commercial owner. You now have a concrete test of company context, rather than a large collection whose value is difficult to assess.
Give the context an operating model
The organisation needs to know where corrections go. An employee should be able to identify an outdated source or challenge an answer without guessing which administrator maintains an invisible prompt. The responsible owner then fixes the source, changes the approved guidance or explains why the existing rule still applies.
Measure the quality of the resulting work, not the number of documents connected. Check whether the answer uses the correct source, follows the applicable guidance, explains uncertainty and avoids information outside the person’s access. A useful answer can be incomplete if the missing information is clearly identified; a confident invented answer is harder to trust.
Where Steer fits
Steer connects selected company sources and owner-approved guidance to supported AI tools. Sources remain the places where original documents are maintained. Administrators decide which context applies to the company, a team or a role, and employees can use it from their existing AI tools.
The practical goal is a shorter path from an ordinary request to an answer grounded in the company’s actual way of working. It does not remove the need to review consequential output, and it does not mean every connected file becomes an instruction. Begin with the context audit worksheet to identify the first tasks, sources and owners worth connecting.
Continue with a practical next step
Put the context to work.
See how Steer connects maintained knowledge and approved ways of working.
Explore Steer