
Knowlee is an AI platform that acts as a company brain, connecting procedures, shared knowledge, and approval rules to automate recurring work. It runs processes across sales, recruiting, delivery, and operations, preparing updates and flagging decisions for team review. The system surfaces cross-departmental insights, such as margin gaps between sales promises and delivery execution.
Funding
Funding not disclosed
Founders
Product
Problem
Companies lose margin and efficiency when knowledge and procedures are scattered across departments, causing conflicting decisions and missed risks. Teams struggle to see how sales commitments, delivery execution, and operational processes interact, leading to repeated preparation work and delayed action.
Solution
Knowlee provides a company brain that centralizes procedures, shared memory, and approval rules, enabling AI to run recurring work autonomously. The platform uses company context to research, prepare updates, and flag issues that need attention, while actions requiring approval are queued for human review. It connects how a company sells, hires, delivers, and prices, giving each team visibility into cross-departmental impacts. The workload model combines declared work volumes and estimated effort to identify automation opportunities, and recorded sessions in the cockpit allow teams to review AI-prepared work before making decisions.
Target Audience
Primary users are operations leaders, department heads, and team managers in mid-sized companies who need to automate recurring workflows and align cross-functional decisions.
Features
- Centralized company memory that stores procedures, decisions, and outcomes for reuse across teams
- AI workforce that runs recurring processes in sales, recruiting, delivery, and operations with minimal human input
- Approval workflow system that queues actions for team sign-off before execution
- Cross-departmental insight engine that surfaces conflicting decisions and margin gaps between sales promises and delivery execution
- Recorded session playback in the cockpit for reviewing AI-prepared work and decision context
- Workload model that quantifies declared work volumes and estimated effort to prioritize automation targets