The Challenge
Effort data is fragmented and anecdotal. Teams do not know if time is going to the right work.
GreyMonk uses AI to analyze engineering effort patterns. It shows how time is allocated across features, refactors, fixes, and reviews. Leaders see where effort drives output and where it gets stuck.
Effort data is fragmented and anecdotal. Teams do not know if time is going to the right work.
GreyMonk aggregates signals from the engineering workflow and uses AI to classify effort and tie it to delivered results.
GreyMonk AI
Transforming gut-feel into data-driven decisions for engineering teams worldwide.
Expose hidden bottlenecks
Balance time across feature and quality work
Increase throughput without burnout
Defend priorities with data
Reduce unplanned work
Improve forecast accuracy
Partner with us to design, prototype, and deploy.