How to choose a company AI context platform

Choose company AI context software by testing whether it supplies the right current information, follows approved guidance and respects the employee’s access in the tools your team actually uses. Start with the capabilities you already pay for. A new platform is useful when it solves a specific gap in ownership, source maintenance, audience control or delivery across tools.

First decide whether you need another product

A shared project can be a sensible first step for a small team using one AI workspace. ChatGPT projects combine files, chats and project instructions; Claude projects provide project knowledge and instructions. Sharing and connected-source behaviour depend on the provider, plan and workspace settings. Check the current documentation linked below and test your own setup.

If the team already has an enterprise knowledge product, evaluate its AI delivery capabilities before adding another layer. Cross-tool access alone is not a unique differentiator. Compare the combination of source authority, human ownership, audience rules and the effort required to maintain it.

Approach	A useful starting situation	Question to resolve
Shared AI project	One team, one workspace, a small maintained brief	Who updates copies, and does sharing expose more than intended?
Enterprise search or knowledge product	The main task is finding and answering questions about company information	Can the existing product deliver the right references and approved guidance in your working tools?
Company context layer	Several AI tools need maintained references, owned guidance and different audiences	Does it preserve source authority and access with an administration process the team can operate?
Custom retrieval application	A specific workflow needs engineering control over retrieval and execution	Who will maintain identity, ingestion, access checks, evaluations and incident response?

Eight checks to use in a buying conversation

Ask the supplier to demonstrate these checks using a harmless, representative set of documents. Record observed results separately from roadmap statements. An integration badge or a successful connection screen is not evidence that a normal employee’s answer will be correct.

Check	Evidence to request
Current source	Two conflicting versions; the designated current source governs the answer
Owned guidance	A named person can approve a consequential rule without reviewing every routine factual update
Audience and access	An eligible employee receives context; an ineligible employee does not; ambiguous identity fails closed
Updates	Change a source fact and measure when a new answer reflects it; distinguish live retrieval from scheduled indexing
Withdrawal	Revoke the connection or remove access, then verify that fresh requests cannot retrieve the material
Real tool use	An ordinary request invokes the right context inside each supported AI destination
Administration	A non-technical owner can explain the source, guidance, audience and correction route
Availability and operation	Written scope, supported file types, tested surfaces, onboarding requirements and support arrangements

Run a small pilot with an answer key

Use three tasks: draft a commercial proposal, explain a client handover and prepare an engineering handoff. For each, a knowledgeable colleague writes down the current facts, applicable guidance, expected citations and information that must be excluded. Use synthetic or approved test material before exposing sensitive company records.

For the proposal, place an old payment term in a historical deck and the current term in the designated handbook. Ask an ordinary employee to draft the proposal. Then change a reference fact, test an exception that needs approval and repeat with a person outside the audience. The answer should reflect the current authorised evidence and acknowledge missing information rather than invent a rule.

Repeat the same task in each destination with comparable settings. A common context foundation does not guarantee identical prose or perfect model behaviour. Record which evidence was retrieved, whether the rule was followed and whether the employee can inspect the source. Review consequential output even after the pilot passes.

Pilot record	What to write down
Before the test	Task, employee audience, current source, expected facts and approved guidance
During the test	Date, tool and settings, answer, citations, retrieved context and any manual prompting
After a change	Source update or revocation time, next request time and observed result
Decision	Pass, limitation or failure; accountable owner; required follow-up

Compare the maintenance work, not just the demo

Estimate the continuing work: selecting and maintaining sources, resolving conflicting authority, approving consequential guidance, managing audiences, testing changes and responding to employee corrections. Ask which responsibilities remain with your company. A vendor cannot decide your commercial policy or source ownership for you.

Keep a short decision record for each option: the task it improves, the evidence observed, the unresolved gaps, the recurring cost and the person responsible. Score the connections you need against the requirements checked in your pilot. If your existing workspace passes the same pilot and the maintenance burden is acceptable, it may already meet the need.

Where Steer belongs on the shortlist

Steer is designed for leaders bringing current company knowledge and approved ways of working into the AI tools their teams already use. Its approach combines designated sources, owner-approved guidance, audience control and administration intended for non-technical people. Reference-only context is a valid starting point; connecting a document does not make every sentence a company instruction.

Steer onboards companies through a waitlist. It connects ChatGPT, Claude and Microsoft 365 Copilot with selected knowledge from Notion, GitHub, Google Drive, SharePoint and OneDrive for Business. Use the integration directory to check the setup and scope for your workflow, then test your requirements during onboarding.

Steer is not a substitute for source permissions, human decisions or review of consequential output. The Microsoft shared-source offer is not a promise to reproduce every employee’s Microsoft permissions. If individual access cannot be verified for material you need, resolve that boundary before including it.