Distributed Operations AI
An AI operating system for distributed service businesses, connecting finance, HR, sales, talent, clients, communications, tasks, and business search in one permission-aware platform.
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The business operated across multiple systems: finance platforms, payroll/vendor payments, email, messaging, sales tools, client records, project workflows, and team activity. Critical operational questions required manual spreadsheet work, context switching, and institutional knowledge.
A custom operations platform that unifies financial reconciliation, HR and talent management, client records, sales workflows, tasks, documents, communications, meetings, and reporting. The system includes role-based permissions, audit logs, integrations, dashboards, and workflow tools.
AI lets users ask operational questions in plain English, generate daily activity summaries, summarize meeting transcripts, explain entity activity, and surface risks or anomalies. AI access is permission-scoped so users only see information they are authorized to see.
CitronLab can build deep internal systems where AI must respect permissions, financial accuracy, user roles, operational nuance, integrations, auditability, and real workflows.
- 9 roles · 44 granular permissions
- Permission-scoped natural-language data search
- Daily AI reports + entity activity summaries
- Meeting transcript summarization
- AI usage and cost logging
- Integrations across finance, comms, sales, and tasks
Building something like Distributed Operations AI?
If this case study resembles a problem you're solving — or sparks an idea for something adjacent — let's talk. Most useful AI systems start as a half-formed thought about a specific workflow.