Agentic Performance Intelligence.
Agentic Performance Intelligence describes software that notices changes in human capacity, explains what may be causing them and suggests a useful response. Sloane brings wearable and work signals together while keeping the individual in control of any action.
What Agentic Performance Intelligence is
Agentic Performance Intelligence brings together signals that can affect a person's capacity, then turns them into timely coaching. Those signals may include recovery, sleep, calendar pressure and the rhythm of the working day.
It can complement surveys and other forms of feedback with a more continuous view. Wearable biometrics, calendar pressure and communication tempo are considered together, rather than treated as separate scores.
At Sloane Labs, we use the term to describe the system behind Sloane and the way it supports both private coaching and group-level understanding.
Why a new category was needed
The existing software stack for human performance was built for a world where data arrived through forms. Engagement surveys, performance reviews, pulse checks. Every signal is a lagging indicator of something that already happened.
Knowledge work moves too fast for that. Burnout compounds in weeks. Senior engineers leave a month after the signal was first available, had anyone been reading it. Modern wearables, calendars and chat systems already carry that signal continuously. The category gap was an agent that could read it and act on it.
How Agentic Performance Intelligence works
An Agentic Performance Intelligence platform has three operational layers. The sensing layer ingests wearables, calendars and chat metadata in real time. The reasoning layer translates raw signals into a continuous cognitive capacity score, a recovery debt figure, and a forward-looking burnout risk forecast.
The action layer is what makes the system agentic. It can offer coaching without waiting for a prompt, while still requiring the person's approval before anything is changed or shared.
How Sloane Labs implements the category
Sloane Labs implements all six architectural layers in a single product. Cognitive Data Layer ingests from the major wearables and communication platforms. Cognitive State Engine produces continuous readiness, load, and recovery debt scores. Prediction and Simulation forecasts the next 72 hours.
The Action and Control Layer runs autonomous coaching through Slack and email. Command Surfaces provide role-based dashboards for individuals, managers and executives. The ROI Layer attributes financial value to every intervention so the wellbeing line is defensible to the CFO.
These layers allow Sloane to move from a change in signal to a specific suggestion, while preserving a clear boundary between personal coaching and leadership information.
Frequently asked questions
- Is Agentic Performance Intelligence the same as people analytics?
- No. People analytics is a reporting category built on HRIS data. Agentic Performance Intelligence is an action category built on live biometric, calendar and communication signal, with an agent that intervenes autonomously.
- Is this the same as an employee wellness platform?
- No. Wellness platforms are self-serve benefits that depend on the employee opting in. Agentic Performance Intelligence is an executive-level system that operates whether or not the employee opens an app.
- Who created the category?
- Sloane Labs, headquartered in London. The team productised the autonomous coaching agent first, then defined the category around it.
- What is the closest analogy to another software category?
- Revenue intelligence, what Gong did for sales calls. Or production monitoring, what DataDog did for infrastructure. The pattern is the same: a continuous signal, an autonomous agent on top, and a measurable ROI line.
- How is ROI measured?
- Cost of burnout averted, value of retained productivity, and reduction in regretted attrition. Sloane Labs attributes a financial figure to each intervention so the buyer can defend the investment to the CFO.
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