Sidekick / Your AI overviewTurn client sessions into work your clients can use.
Three possible uses based on your answers, with a finished example you can try.
See the finished example
What your answers point to
The work after a client conversation is a promising place to start. Use the same notes to prepare client deliverables and update the delivery plan. Keep public writing separate, drawing on your expertise without exposing client details. Your existing instructions give this a useful starting point.
Three ways to put AI to work
The starting example addresses work you named. It helps turn customer conversations into useful action.
- Prepare the next stage of client delivery
- The work
- After a workshop or client call, AI can use the notes and project plan to prepare the findings, client materials, action plan and next meeting brief. It can also identify missing approvals and questions that could delay delivery.
- What changes
- Less work left after the client session, and a clearer path from the conversation to the promised deliverable.
- Turn meeting decisions into a working plan
- The work
- AI can combine a meeting transcript with the current project plan, identify changed decisions and prepare the follow-up, task list and revised brief. It can show where a new deadline conflicts with unfinished work.
- What changes
- The team leaves with work prepared and conflicts visible, instead of another set of notes someone must turn into a plan.
- Produce the newsletter and its companion content
- The work
- AI can use your rough ideas, source material and past writing to prepare a newsletter, companion posts and a reader resource. Once the voice and format are established, the same process can support the next issue.
- What changes
- Your time goes into the point of view and final edits, rather than rebuilding every piece from a blank page.
See the finished work
Illustration · Fictional operations adviser
The client receives something the team can use at its next handover, together with a plan for learning whether it helps.
Client findings
Requests enter through chat and a paper list, so teams lack one shared view at shift change. The manager has approved trying the existing shared spreadsheet for two weeks. A shared list may reduce missed ownership; the workshop alone does not establish that result.
See the complete output
Handover template
| Request / next action | Owner | Due / urgency | Status |
|---|---|---|---|
| Example: order 104: confirm collection time | Name required | Today / urgent | Awaiting customer |
| Example: order 108: check missing carton | Name required | Next shift | Needs warehouse check |
Two-week trial
- Before starting: manager names the trial owner and review date, then shares three anonymized missed-request examples.
- At each handover: outgoing staff update open requests; incoming staff confirm who owns each next action. Keep the four template fields short.
- Trial owner records missing owners, requests absent from the list and questions staff cannot resolve. Record observations, not guesses about time saved.
- At the review: inspect those cases with staff. Keep, simplify or change the method based on what happened.
Client email: ready for approval
The findings, trial plan and handover sheet are ready for review. The trial uses your existing spreadsheet and keeps the handover to four fields. Before your team starts, please name the trial owner, confirm a review date and share the three anonymized examples discussed. We can then check the sheet against those cases. No new software is needed for this trial.
See the source material and try it
This is a worked illustration with fictional inputs. The output was produced and edited for this example; your AI tool may produce a different version.
Copy this fictional example
Copy the notes and instructions into an approved AI chat.
Check the result
Use the existing spreadsheet. The trial is agreed, but its owner and date are not. Separate illustrative template rows from real customer work.
Before trying this with real work, confirm that the AI tool may use those records and that someone can check important mistakes. Otherwise, keep using fictional details.
Try notes and scope from a completed client session. Compare whether the package contains what the client needed next, with no added promises.
Before using real work
Check the limits first: you said the work involves a lot of private information.
For work with private information, use made-up examples until this use is approved. Keep each client's information separate.
Check the facts and figures in AI answers before acting on them. A person must approve messages, spending and promises. Set a spend limit.
Check who can read saved data and when it is deleted. Keep instructions you can move and use without a coach.
Make this useful in your work
Check which AI tools your Google setup allows for this work. Use the finished example to find one remaining preparation step AI could help with. Keep the checks that already work.
Try the example in a lunch break. Copy the example, then change only the fictional details.
A starting point, not a business audit
Based on your answers, not a business audit. Your files, software and permissions have not been checked; results are not promised.
With help, you keep the setup and instructions. Coaching ends; software costs and upkeep remain.