Adherence, occupancy, shrinkage, and forecast variance — computed from the Connect data you already produce, delivered as dashboards your supervisors will actually open at 7:55 on a Monday.
If you run 20–300 agents on Amazon Connect, you're likely too big to manage the floor by feel and too small to justify a six-figure WFM suite. So adherence lives in exports, shrinkage is a guess, and the forecast never gets scored against reality.
Built directly on Amazon Connect's contact records, agent events, and queue metrics — no new telephony integration project, no data entry.
Adherence, occupancy, shrinkage, and forecast variance — consistently defined, interval-level, trended, and explained in plain language.
Keep whatever you schedule with. wfms.ai answers the questions your current tooling can't: where the plan and reality diverge, and what it costs.
wfms.ai is built by Ethelytics — an independent contact-center analytics practice working in Amazon Connect telephony data, Snowflake, and Power BI every day. The product is being grown out of real consulting engagements: every metric definition in it has survived contact with a real operations floor.