Prove the value, in numbers you control.
Cost per run, value per deal, and an AI ROI report you can put in front of a client.
Value you can trace back to the work.
Emerjent measures AI ROI from activity records, not estimates: time entries flagged as AI-assisted, cost attributed per agent run, and deal outcomes, tied together in the system that did the work. The report computes from what actually happened, so the number holds up when a client questions it.
Mark the work AI-assisted
Time entries carry an AI-assisted flag, so the share of a deliverable the AI touched is part of the record, not a guess after the fact.
Cost attributed per run
On the paths that route through an agent, each run carries its own cost. Spend rolls up by agent and by the work it ran against.
Reports from real figures
ROI reports pull from your actual time, deals, and attribution. The numbers come from what happened, so you can show a client the math.
Push metrics to your dashboards
Emerjent computes your operational metrics and pushes them to your own Databox account on a schedule, so they land in the dashboards your team already watches, with no database to expose.
A rough sense of the math.
Drag the inputs to see how influenced revenue and attribution shape the number. The confidence factor stays fixed here to keep it honest. Your real reports replace every value with your own.
Illustrative. Real ROI reports use your actual time, deals, and attribution, not these sliders.
Questions people ask about this.
How do you measure the ROI of AI?
Measure from activity records, not estimates. Emerjent flags time entries as AI-assisted, attributes cost to each agent run, and ties both to deal outcomes in the same system that did the work. The ROI report computes from what happened, so the math survives scrutiny.