Most companies buy AI the way they used to buy software licenses: a handful of enthusiasts get access, a pilot runs in a corner, and the rest of the organisation keeps working exactly as before.
That is not a force multiplier. That is a hobby.
A real force multiplier reaches everyone — the person drafting the client email, the analyst cleaning the spreadsheet, the ops lead chasing approvals. When AI only helps the already-technical, you widen the gap inside your own company.
What a force multiplier looks like
Drag the team size. Watch output with dabbling AI versus AI for everyone.
- Dabbling lift
- +18%
- Everyone lift
- +2.4×
- Hours returned / week
- 96
Google Workspace is the delivery system
People already live in Gmail, Docs, Sheets, and Meet. That is where AI should show up — not only in a separate chat window they forget to open.
When we integrate AI into Workspace, the multiplier sits on the path of real work: drafting replies, shaping agendas, turning notes into actions, summarising threads before the meeting starts.
Workflows beat prompts
A clever prompt helps once. A designed workflow helps every Tuesday.
- Map the handoff that always stalls.
- Automate the boring middle with Claude, OpenAI, or both.
- Leave a human at the judgment points that matter.
The goal is not to remove people from the loop. It is to remove the busywork that keeps them from doing the work only they can do.
Top 1% is a habit, not a tool list
Companies in the top percentile of AI use do not necessarily have the flashiest stack. They have rituals: shared prompt libraries, clear review standards, training that reaches every function, and metrics that track time saved and quality kept.
That is the consultancy work we care about — providing everyone with a force multiplier, then making sure it sticks.
