Grow AI Adoption With Confidence
Automatically detect real usage across tools and teams so you can remove friction, guide rollout decisions, and expand adoption where it matters most.
See What’s Actually Happening
Get a complete, unbiased picture of AI activity across the org without manual reporting or guesswork.
Pinpoint Where to Intervene
Identify underused tools, teams, or workflows and focus enablement where it will have the highest impact.
Lift Adoption Across the Org
Learn which behaviors, tools, or teams are driving momentum and scale those patterns to accelerate maturity.
Thanks to Jellyfish, we now have granular AI adoption data and the ability to benchmark against non-Cursor users. With clear signals on where productivity gains are happening, we can take the learnings from the higher-performing teams and share them across the org so everyone can benefit.
Ciaran McAuliffe
SVP of Software Development at Hootsuite
Everything You Need to Grow AI Usage
Automate Exec Reporting
Get instant, high-level summaries that highlight progress, risks, and next steps, so you can make informed decisions quickly.
Understand Adoption Momentum
See how usage grows, plateaus, or dips over time to guide rollout pacing and focus.
Spot Friction Zones
Break down patterns by team, role, or segment to uncover pockets of friction and areas of lift.
See Agent Impact
Understand where autonomous agents are contributing value, and where effectiveness or adoption needs support.
Deep Behavior Signals
Reveal patterns across activity types, code areas, and workflows to understand where AI is adding value, or where users may need more support.
Flexible, Layered Views
Analyze adoption at any level—across the org, within specific tools, or inside targeted cohorts—to guide more precise and effective rollout strategies.
Integrate Your Full AI Tech Stack
Unify insights across assistants, review agents, and emerging systems without changing existing workflows.
AI Impact Research
In-depth frameworks and guidance to support adoption, measurement, and scaling of AI.