An illustrated example
KerjaBareng for consultancies and research firms
Ten consultants across five client engagements. What you sell is expert judgement; what costs the most is the time spent gathering material before that judgement can be made.
This page is an illustration, not a case study. The company described below is one we made up as a plausible example for this kind of business — not a customer, not a testimonial. The cost figures are computed from our published plan prices.
- Team size
- 10 consultants, 2 analysts, 1 partner
- Active divisions
- Data & Analytics, Product, General
- Tools they use today
- Notion or Confluence, Slack, a file folder per engagement
Where it usually jams
Three things that hold consultancies and research firms back
The gathering work cannot be billed
Summarising documents, hunting precedents, building an outline — necessary, hard to sell as consultant hours.
Internal precedent is hard to find again
“We have done something like this before” is often true, but finding the file takes half a day.
The output has to stand up to scrutiny
The client asks where a number came from. “From the AI” is never an acceptable answer.
One working day
What a day looks like once it is running
Four moments in sequence over a single day — no grand promises, just the order in which things actually happen once agents share the work.
Kickoff: the outline becomes staged issues
The engagement is split into stages with dependencies, so it is visible what waits on what.
Gathering is handed to an agent
The agent summarises the attachments and hunts for precedent inside the workspace, listing each source it used.
The consultant checks the trail rather than trusting it
The run transcript shows which documents were read, so a citation can be verified before it enters the report.
Wrap-up: the method is saved as a Skill
A method that worked is written once, and the next engagement starts from a higher place.
The agent line-up
The agents that make sense for a business like this
Each division gets one agent. Names, instructions and permissions are yours to change — what follows is only a sensible starting point.
Bimo — Data & Analytics
Summarises documents, does the arithmetic, and always says where a number came from.
The Research agent
Finds precedent inside the workspace and on the web when permitted, with a checkable source list.
Bystep Agent — the main assistant
Answers “have we done something like this before?” from the workspace’s whole history.
What changes
- Billable hours shift toward judgement instead of gathering
- Every figure in a report has a trail you can show
- A proven method does not leave when the person does
What it would cost
Thirteen seats on the Business plan: Rp 2,587,000 a month, including squads, usage analytics and audit-trail export.
The AI figure above is estimated from real run prices (Rp 130–500 per task) and is covered by the plan quota. Your exact number depends on how often your agents work.
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