General-purpose AI or Launchpad: individual workspace versus repeatable consulting delivery
First, the credit due
What General-purpose AI does well
The decision in one sentence
What is actually being compared
A consultant with a general assistant is an individual capability; Launchpad turns how the firm works into repeatable delivery — the method, the client boundary and the review step carried by the system rather than by each person’s habits.
The honest split
When General-purpose AI is enough — and where the cost begins
General-purpose AI is likely enough when…
Coordination starts to cost real time when…
Day to day
The same six moments, in both workflows
| Moment | General-purpose AI | Launchpad |
|---|---|---|
| Set up | None — open a chat and start. That is the appeal. | Open the client engagement — specialists, method and prior context are already in place. |
| Start a task | Brief the assistant from scratch or from your own notes; the quality of the brief is the quality of the start. | Give the delivery team the task; the briefing is carried by the engagement, not rebuilt. |
| Update the method | Tell people the standard changed and rely on everyone’s next prompt reflecting it. | Update the specialist, team or firm knowledge once; engagements use the current version from then on. |
| Review | Each person judges their own output; a senior reads the result cold. | A critic challenges the reasoning and a validator flags unsupported claims before senior review. |
| Deliver | Copy the good parts into the document and finish it by hand. | Shape the editable report, then generate the client-facing deliverable from the version you approved. |
| Return later | Scroll the chat history — if the work was yours; if not, start by asking around. | Reopen the engagement — anyone with access picks up the context, decisions and report as they stand. |
Tradeoffs
What adopting Launchpad costs
Decision guide