CueBench is a platform that quantifies how effectively employees use AI in their daily workflows, turning AI spend into measurable skill metrics. It identifies high‑performing users, highlights wasted token usage, and provides data‑driven upskilling recommendations, enabling enterprises to demonstrate and improve AI ROI.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to determine whether their investment in AI tools translates into productive employee performance, often relying on license counts or vague usage metrics that hide inefficiencies and skill gaps.
Solution
CueBench offers an enterprise platform that quantifies how each employee leverages AI in their daily workflows. A lightweight background agent runs on work laptops and reads session logs from AI assistants such as Claude Code, Cursor, Pi, and Codex, without requiring IDE plugins or workflow changes. The system scores usage at the session level, highlighting users who generate high value from AI and identifying token consumption that does not advance work. These insights enable managers to target upskilling, reduce wasted AI spend, and present concrete ROI figures to leadership based on measurable skill metrics.
Target Audience
Primary customers are enterprise IT and people‑operations teams responsible for AI tool adoption, as well as business leaders seeking measurable returns on AI investments.
Features
- Silent background agent that captures AI session logs from multiple assistants without altering user workflows
- Session-level scoring algorithm that evaluates the effectiveness of AI usage and token efficiency
- Dashboards that surface high-performing users, underutilized employees, and areas of token waste
- Actionable recommendations for targeted upskilling and habit coaching backed by evidence
- ROI reporting tools that translate AI spend into quantifiable skill and productivity metrics