📒 Bookkeeper Controller
Bookkeeper Controller helps teams with analysis, invoices, forecasting, and compliance.
Problem
- The work still depends on a few people and is hard to repeat.
- Context is scattered across tools, so handoffs drop details.
Solution
- Map the workflow
- Connect the data
- Produce a result
- Review with a person
Live demo
Chat demo · Phase one is a simulation so you can check the interaction and the deliverable. It will not write to your live CRM, WeChat, or store.
Bookkeeper Controller Demo
SimulatedTry the inputs and deliverables. Outputs are demo data—no production systems or live publishing.
User
What can Bookkeeper Controller help with?
AI
Bookkeeper Controller is a simulated demo. It shows how the agent takes a request, uses your systems, and returns something a person can edit.
Workflow
- 01Take the input
- 02Understand the goal
- 03Call tools
- 04Produce a result
Architecture
Input
Business goal, Existing material, Constraints
Agent
Bookkeeper Controller
Tools
Business API
Output
Findings
Implementation: LLM + Tool Calling
Input
- Business goal
- Existing material
- Constraints
Output
- Findings
- Next steps
- A draft a person can edit
Stack
- LLM
- Prompt
- Tool Calling
- Document parsing
- Reconciliation
API
- Business API
GitHub
https://github.com/jnMetaCode/agency-agents-zh/blob/main/finance/finance-bookkeeper-controller.mdEstimate
Reference range ¥15,000 - ¥50,000. This estimate follows the current scope and changes with how deep the integrations go. It is not a market list price.
FAQ
Who is Bookkeeper Controller for?
Teams that need help with analysis, invoices, forecasting, and compliance.
How long does it take?
A reference timeline is 5-15 days. It changes with how many systems you connect.
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