Short answer
Choose one recurring workflow with a named owner, then organise approved records into sourced handover drafts. The process owner approves them, with versions and permissions preserved; unconfirmed content never automatically becomes official guidance.
Customer questions wait for one particular colleague to return, new recruits keep chasing experienced colleagues for answers, and the owner has to step in at short notice. Dependence on key people often becomes visible only during leave, staff departures or business expansion.
SME owners can first ask: “If the person responsible is absent next week, which workflow would be hardest to take over?” Owners and operations leaders in larger enterprises should also ask: “Are different branches and departments using the same version of the answers? Who has authority to approve exceptions?”
Organising existing records into auditable handover material can be a pilot. But people must still supply experience, judgement and responsibilities that have not been written down.
One type of work worth considering after hours is turning the day’s completed records into knowledge awaiting review. The company must have the right to use the data, and someone must be responsible for verifying the content. AI can help organise it, but people still need to supply any reasoning that colleagues did not record.
Start with one workflow, not every conversation at once
First choose a recurring workflow with a designated owner, such as the internal handling of ordinary returns. Clearly identify current guidance, completed cases and information that should not enter the knowledge base.
A usable handover card can include applicable situations, required information, processing steps, whom to contact for exceptions, original sources, content owner, approval date and next review date. Unapproved cards must remain in a draft area, separate from official guidance.
Organise overnight, verify during the day
1. Read new records from approved folders or work systems, processing only the designated workflow and required fields.
2. Remove unnecessary names, telephone numbers, addresses and private content. Keep departmental data separated according to existing permissions so that organisation does not expose information to people who previously had no right to see it.
3. Have AI extract operating steps, common questions and unresolved issues, attaching sources to every suggestion. When information is insufficient, output questions to ask rather than inventing a standard answer.
4. Compare with current guidance and separate duplicated, outdated and contradictory content. Special approval for an individual customer must be labelled as an exception.
5. The process owner reviews the draft the next morning. Add it to the official knowledge base only after approval, preserving the version, approver and change log.
6. New colleagues can check the original sources when using it. If no answer is found or an exception arises, refer it to the designated colleague. Expired or withdrawn content must stop appearing in normal suggestions.
Fictional workflow illustration: one special approval is not company policy
The following is a design illustration, not a real client result. A retail company granted an additional arrangement for one incorrect-delivery case. The handling conversation described the action, but the current guidance for ordinary returns does not include it.
If AI simply turns the case summary into ‘standard return steps’, a colleague may make an unauthorised commitment next time. A safer output is: ‘This case received special approval; applicable conditions are unconfirmed. The process owner should decide whether exception guidance needs to be added.’ Existing policy remains in force, and content awaiting verification does not automatically become a company rule.
A larger knowledge base does not mean a better handover
The pilot should compare how long colleagues take to find the correct answer, the proportion passing first review, the number of unsourced items and how often senior colleagues need to be asked again. Also sample-check whether old answers are still being cited and whether cross-department permissions have been preserved.
Start with a small set of completed cases and have colleagues familiar with the workflow check each item. Confirm the template is useful before deciding whether to organise records daily. If review creates more work than the original preparation, narrow the scope, improve the record format or refrain from using AI for now.
Colleagues need to know how their data will be used
Knowledge organisation should focus on work processes, not secretly turn conversations into staff ratings. Explain sources, visibility, purposes and retention periods in advance. Exclude or separately assess personnel, health and confidential customer content; do not put everything into one tool merely to make the data ‘complete’.
Successful handover also depends on management arrangements: who owns the workflow, who approves changes and who takes over maintenance when someone leaves. These responsibilities must be designed alongside the system.
Start with the workflow that is hardest to take over
On a sheet of paper or in a document, write down which workflow depends on one colleague, where existing information is held, who approves guidance and who takes over when the person responsible is absent. An SME can choose one critical task; a larger enterprise can limit the pilot to one department or branch and check versions and permissions before considering expansion.
Start with the workflow that is hardest to take over
Book a 60-minute AI transformation assessment, starting with existing systems, recurring questions and maintenance responsibilities. For the initial enquiry, simply describe the workflow; no private staff conversations or confidential customer information are needed.
Book a 60-minute AI transformation assessment →Source: Smark Global editorial process design; all scenarios are fictional illustrations, not client cases or evidence of results.
Last updated: 2026-10-14（first published: 2026-10-14）
