HiveShow the value of the pilot
Measure time, quality, and cost without overstating the benefit.
Compare the same work
Measure the existing workflow before comparing it with the pilot. Include the time spent preparing inputs, reviewing results, correcting mistakes, and handling exceptions.
If the workload or complexity changes, explain that difference rather than attributing everything to the AI employee.
Track a small set of useful facts
- Completed work that someone verified.
- Human time spent before and during the pilot.
- Errors, rework, and escalations.
- Response time or another relevant business KPI.
- Model, computer, tool, and review costs.
Use your own target and review period. Hive does not prescribe a universal threshold for a successful pilot.
Keep estimates visible
Example: a team measures that a report now requires less preparation time. That is saved capacity. Do not call it reduced payroll unless spending actually falls.
Similarly, a sale after a follow-up generated by an AI employee is not automatically revenue caused by the AI employee. Describe the evidence for attribution and any uncertainty.
Use Mission Control honestly
Mission Control is being designed around KPIs, operating cost, and useful company events. Sample charts remain sample data until connected to real sources. Do not use them to justify a purchasing or staffing decision.
Decide the next investment
Expand a workflow when its measured benefit exceeds the effort and cost of running it at the quality your team requires. If it does not, revise the task or stop the pilot. A negative result is useful information.