Meet QuNeva — The First AI-Native Workforce Management Platform
A tour of QuNeva, the AI-first WFM platform for contact centers — forecasting, Erlang staffing, optimized schedules, real-time adherence, and an assistant that answers agents in Arabic and English.
Most workforce management platforms added an "AI feature" somewhere in the last two years. QuNeva did the opposite: it started from the assistant and built the entire WFM engine around it. This article is a quick tour of what that actually looks like on screen — every image below is the real product.

What does "AI-native" mean in workforce management?
In a traditional WFM suite, the intelligence lives in reports that a planner reads. In QuNeva, everyone on the floor can simply ask. An agent types "What's my schedule tomorrow?" and gets the exact shift, breaks and lunch — grounded in the published schedule, not generated from thin air.

Three design rules make this safe enough for an enterprise floor:
- A closed tool catalog. The assistant can only call a fixed set of read tools — my schedule, my leave status, my KPIs, team KPIs for leaders, coverage for planners. There is no free-form database access.
- The asker's own scope. Tools execute as the person asking. An agent can never see another agent's numbers; a team leader sees their team only.
- Numbers come from tools, never from the model. If the data isn't there, the assistant says so instead of guessing.
And it speaks the asker's language — the same question in Arabic gets a fluent فصحى answer:

The engine underneath: a real WFM pipeline
The assistant would be a gimmick without a serious engine behind it. QuNeva covers the full pipeline: historical volumes → forecast → Erlang staffing requirements per interval → capacity plans → shifts and rotations → an optimized, published schedule → live adherence.
The coverage heatmap is where planners live: scheduled versus required staff for every interval of every day, with weekends and Ramadan windows marked.

We wrote a full walkthrough of that flow in From Forecast to Published Schedule in Minutes.
What agents see
Agents get a clean self-service space: their published schedule with every segment, the full request lifecycle (leave, break changes, swap postings, overtime), shift preferences that feed the optimizer, and QuNeva Pulse — points, streaks and badges computed from real adherence.


Built for MENA from the first line
Arabic in QuNeva is not a translation pass — the entire interface ships in Modern Standard Arabic with native right-to-left layout, Hijri calendar awareness, prayer-time and Ramadan inputs to the forecast, and configurable Friday–Saturday weekends. The full story is in Workforce Management in Arabic — Built for MENA, Not Translated.
What it costs to start
Nothing. QuNeva is free to start — the working platform, not a stripped demo. The breakdown is in Free Workforce Management: What QuNeva Includes.
The short version
- One platform for the whole WFM pipeline, with an AI assistant wired into its permission system.
- Erlang staffing, three schedule-generation modes, real-time adherence and coverage.
- Complete Arabic + RTL, Hijri and Ramadan awareness — first-class, not bolted on.
- Free to start.
If you run a contact center and your agents still open tickets to learn their day off, that's the gap QuNeva closes.