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The partner still has to sit in the room
Consultants can use AI to structure a slide story, synthesise a long pack, and turn interview notes into themes. That is useful on Sunday night. It is not the engagement. The engagement is the insight the client has not already written, the fact you can point to in their file, and the recommendation you will still own when the steering committee pushes back. ChatGPT will happily produce a pyramid, a 2x2, and a confident next step. It does not know whether the number is from the client data room, whether the interview is on the record, or whether the recommendation will survive contact with operations. A named partner still walks in.
If you cannot name the client fact, the insight, and the partner who will present, do not generate the deck yet. You are still arranging furniture.
Four consulting jobs ChatGPT can do, and one it cannot
It can turn your outline into a storyline with empty cells for missing proof. It can cluster interview notes into themes with pointers back to quotes. It can shorten a verbose exhibit into a title that states the finding. It can list the questions a sceptical CFO will ask. It cannot know the politics of the room, whether the data room figure is still current, or whether the client will accept a recommendation that costs jobs. Give it the pack you are allowed to paste, the decision the meeting must take, and the bans: no invented benchmarks, no unnamed peers, no legal advice. Ask it to mark gaps. Then you fill the gaps from the workpapers.
| Deliverable | Let ChatGPT | You keep |
|---|---|---|
| Storyline | Page titles from your outline | The insight and the ask |
| Interview synthesis | Themes with quote pointers | What you will actually say |
| Exhibit rewrite | Clearer title and shorter bullets | The number and the source date |
| Q and A pack | Likely challenges from the draft | The answer you will stand behind |
Synthesise the pack. Do not invent the finding.
Paste only the workpapers you are allowed to paste in an approved workspace. State the reader: CEO, CFO, or operations. Ban benchmarks, peer names, and recommendations you have not decided. Ask for a storyline with [missing] where the file is silent. Then open the source exhibit. If the draft cites a percentage you cannot find, delete the percentage. If it recommends a restructure you have not modelled, delete the recommendation. Keep a small set of saved briefs: storyline, interview clustering, exhibit titles. Edit those, not a blank chat. Consulting is repeating structure on new facts. A stable brief is how quality stays when three streams land on Friday.
Role: You are drafting a client artefact a partner will present.
Task: Produce the storyline, synthesis, or exhibit titles I specify from the pack I paste.
Context: Reader, decision required, and what they already know.
Constraints:
- Do not add benchmarks, peer names, or recommendations I did not state.
- If a figure is not in the pack, write [missing] instead of guessing.
- Separate client facts from inferences.
Output: The artefact, then a list of claims a sceptical CFO would challenge.
Quality checks: Which lines would be wrong if one exhibit is dated last year.If the critique list shows a benchmark or a recommendation you did not intend, you have already been saved a bad room. That list is the point of the prompt. Save it in a shared note so the next consultant does not start from find the answer. Keep the version that survived partner review, and retire the one that filled gaps with a 2x2 from nowhere. Five briefs the team uses beat a private trick.
Borrowed frameworks, undated figures, and a recommendation nobody will own
Borrowed frameworks are a trust leak. Clients notice when every deck looks like a public blog. Put back the client's noun, the constraint, the ugly process name. Undated figures are worse: a market size, a peer percentage, a saving that never sat in the data room. If it is not in the pack, it does not go on the slide. The third failure is a recommendation with no owner in the room. ChatGPT will write implement, transform, and accelerate because verbs sound like value. You still have to name who does the work, what it costs, and what you will stop. Fluency is not an insight. The partner still has to sit there when the client says no.
| Mistake | What it looks like | What to do instead |
|---|---|---|
| Find the answer | No pack, no decision, no ban | Paste workpapers and name the ask |
| Invented benchmark | Industry average 23 percent | Client file or [missing] |
| Framework filler | A 2x2 with no evidence | One finding and one exhibit |
| Orphan recommendation | The client should transform | Owner, cost, and what stops |
A slide that invents a benchmark is not a draft. It is a faster way to brief a client on a fact you cannot show in the data room.
Related reading on StudyGrid
Read next: How to Summarize Documents with AI Writing Someone Will Sign How to Fact-Check ChatGPT. Those essays sit beside this one. Use them when you need the neighbouring skill, not as a substitute for the check you still have to make.
What to do this week
Take one live pack this week. Synthesise only from workpapers in the approved tool. Require [missing] on blank proof. Check three figures against the exhibit before the dry run. Keep the brief if the partner did not have to rebuild the insight, and share it with the next associate. Drop it if they still invent a benchmark in the room. That is how AI for consultants stays a clerk, not a witness.