Yes. Employees can suggest corrections, add practical details and help maintain an internal AI knowledge base, but their changes should not become authoritative immediately. A reliable system separates employee contributions from approved company knowledge. Employees identify gaps; designated owners validate the information; approved changes are published and retested before the AI assistant uses them as official guidance.
Employees Often Notice Problems First
The people performing the work are usually the first to notice that instructions are incomplete or outdated.
- A form has been replaced.
- A vendor contact has changed.
- A procedure omits a common exception.
- A system screen no longer matches the training guide.
- An approval path changed after a manager left.
- The AI assistant cited the wrong document.
- A technically correct answer does not explain what the employee should do next.
Ignoring this feedback allows the knowledge base to drift away from actual operations. Giving every employee direct publishing authority creates the opposite problem: unofficial advice, personal preferences and unverified workarounds can become company guidance.
The solution is controlled contribution.
Separate Suggestions From Published Knowledge
Employee feedback should enter a review queue rather than changing the production knowledge source directly.
Submitted: An employee reports a problem or proposes new guidance.
Triaged: A coordinator identifies the department, urgency and type of issue.
Assigned: The request goes to the responsible knowledge owner.
Under review: The owner checks the existing procedure, supporting evidence and current practice.
Draft correction: A revised knowledge article or document is prepared.
Approved: An authorized person confirms that the change is accurate and appropriate.
Published: The approved version replaces or supplements the old guidance.
Retested: The original employee question is asked again to confirm that the assistant now returns the correct answer.
This separation matters because a useful observation is not automatically an approved rule.
Employees Should Submit Evidence, Not Just Opinions
A feedback form should ask enough questions to make the correction reviewable.
- What question did you ask?
- What answer did the assistant provide?
- What appears incorrect or incomplete?
- Which document, system record or real case supports your correction?
- Does this affect one situation or the standard process?
- Could the issue affect safety, payroll, customers, compliance or security?
- Who else understands the process?
- Is there an immediate workaround employees should use?
Suppose a service technician reports that the warranty procedure gives the wrong approval limit. The reviewer should not update the policy solely because the technician remembers a different number. The reviewer should compare the current contract, approved pricing rules and management decision before changing the source.
Employee experience is valuable evidence. It still requires validation.
Keep Workarounds From Becoming Policy
Employees frequently develop shortcuts that help them finish work despite weak systems or incomplete procedures.
Some workarounds are useful discoveries. Others bypass controls for a reason.
We normally skip the purchasing form and email the manager because it is faster.
That statement captures actual practice, but it does not prove that leadership approves the practice. The review may reveal that the form is obsolete, that employees need better training or that the workaround creates an audit problem.
The AI assistant should not begin recommending the shortcut simply because several employees use it.
Pixeldust’s knowledge-hub implementation process distinguishes between understanding how work really occurs and deciding which version should become approved knowledge.
Use SharePoint Approval and Version Controls
SharePoint can support the distinction between drafts and published knowledge through versioning, content approval and controlled document libraries.
Microsoft explains that SharePoint content approval can keep pending documents from general users until an authorized reviewer approves them. Power Automate can route a submitted document to the appropriate approver and update its approval status after the decision. Microsoft’s document-approval guidance describes this workflow.
Version history also preserves what changed and allows administrators to identify which edition is currently approved. These controls are useful, but technology does not decide whether a business rule is correct. The organization must still name an accountable owner.
Match Approval Effort to Risk
Low risk: Formatting, spelling, broken links and clearer wording that does not change meaning.
Operational: Process steps, contact information, forms, system instructions and escalation paths.
Controlled: Employment policy, financial authority, safety procedures, contractual obligations or regulated guidance.
Power Automate supports approval workflows in which one or several assigned reviewers must approve before a request proceeds. Microsoft’s approval-workflow documentation shows how multiple required approvers can be used for higher-control scenarios.
Retest the Question After Every Meaningful Change
Publishing the corrected document is not the final step. The organization should ask the original question again using the same type of employee account and confirm the approved change, correct citation, removal of obsolete information, correct permissions and safe handling of restricted information.
The AskMaisy Microsoft 365 Knowledge Hub architecture treats testing, ownership and continuing review as operating layers of the system—not as one-time launch tasks.
Where Maisy Fits
Pixeldust designs Maisy so employees can help improve company knowledge without silently rewriting it. Employees can report weak answers, missing procedures and outdated sources through a defined feedback process. Knowledge owners investigate the issue, approved corrections are published and representative questions are retested.
Employees should help maintain the knowledge base. They should not be allowed to turn every confident opinion into company policy. That road leads to chaos, only with better search.
