The team that keeps your data clean.
The Data Manager Agents are the FP&Agents for data integrity: a growing team of autonomous agents that keep mappings, consolidations, and hierarchies clean so every team upstream works on facts.
The problem
Everything downstream inherits a mess.
When the foundation drifts, every report, forecast, and board number pays for it, and the team pays in cleanup weeks.
Mapping is a manual grind
Every new account, entity, and source system means hours of hand-mapping against the chart of accounts.
Bulk changes are risky
Mass edits across dimensions with no proposal step is how models quietly break.
The model drifts from the business
Reorgs and new products happen; hierarchies lag; every rollup slowly stops matching reality.
What the Data Manager Agents do
Every account mapped, every rollup right.
The Data Manager Agents are Cube's FP&Agents for data integrity: a growing team of autonomous agents that handle the mapping, consolidations, and upkeep behind the foundation every other team works on. Agents propose; finance approves; every action lands in the audit trail.
Mapping
Learns your chart of accounts and proposes mappings, scored by confidence.
Bulk Edit
Mass updates to dimensions and data from a plain-language request.
Bulk Task
Repetitive workflow tasks automated at scale.
Connection Setup
Source system onboarding, guided end to end.
Dimension Management
Keeps hierarchies aligned as the business changes.
Every agent here works under Charlie, the super agent: one question in, one decision-ready answer back.
Proposals, not surprises
Scored, queued, and approved.
Every proposed change carries a confidence score, and your team approves before anything lands.
The payoff
A foundation you never chase.
The grunt work, done for you
New accounts get matched, mass updates run, and hierarchies stay current without eating the week.
It suggests, with a confidence score
Changes arrive as suggestions with a score, like a careful analyst showing their work. Nothing applies silently.
You approve, everything is logged
Your team signs off before anything lands, and every change is recorded for the auditor.
First pass
Mapped before you sit down.
Mapping learns your chart of accounts and proposes; anything below your confidence bar queues for review. Cube proposes. Finance approves.
Cube MCP Server
Your AI reads it, and writes it back.
The Cube MCP Server gives Claude, ChatGPT, Copilot, and the agents you build read and write access to the same clean, decision-ready data the Data Manager Agents work on.
Read: decision-ready answers
Query mapping status, consolidation runs, dimension trees, and data freshness from Claude, ChatGPT, or your own pipeline agents, live and governed.
Write: work that lands in Cube
Propose mappings, dimension updates, and bulk edits from any endpoint; everything queues for finance approval and lands in the audit trail.
Use cases
Where the Data Manager Agents go to work.
New entity onboarding
A subsidiary lands in the ERP; mappings are proposed before the kickoff call.
Chart of accounts changes
New accounts mapped on arrival, low-confidence items queued for review.
Reorgs & dimension updates
The hierarchy changes once, and every rollup follows.
Multi-entity consolidation
Eliminations, currency conversion, and subsidiary rollups, run continuously.
See it on your own workflow.
Pick the data chore your team dreads most and watch the Data Manager Agents run it.
Give the grunt work to the agents.
Part of the FP&Agents: one super agent, four specialist teams.
