Introducing Autonomous EnablementOS

The First Autonomous People Development System

Autonomous means the work gets done for you. You set the outcome; agents learn your organization's context, build the enablement, and coach your people in the flow of the work they're already doing.

See how it works

Built on the platform 3.5M+ learners and 500+ enterprises already use.

Trusted by teams at

Learning tied to outcomes

Learning that moves the numbers you are measured on

Autonomous Enablement OS works on the outcomes your business cares about, not course completion. It helps sellers ramp faster, drive more revenue, and get people ready for their next role.

Autonomous Onboarding Autonomous-Onboarding

Autonomous Sales Enablement Autonomous Sales-Enablement

Autonomous Talent Development Autonomous-Talent-Development

How it works

Define the outcome, it runs the play

You do not build another program. You set a business outcome, and Autonomous Enablement OS builds on your organization's own context, puts its agents to work, and delivers learning right where people already are.

Define the outcome

Not a course to run. A business result to hit, with a number and a deadline.

Get 200 new advisors productive in 30 days.

Get 500 reps ready to pitch the new product by launch.

Example outcomes

It builds on your context

It reads your Context Graph: roles, products, processes, and what good looks like in the business. Every action is grounded in a real business context.

It deploys the agents

The right agents go to work, some you see, some in the background: coaching, roleplay, assessments, turning your docs into lessons.

It delivers where people work

Learning reaches each person in the flow of their day, in their own language, in the apps they work in. Then it measures against the outcome and calibrates.

WhatsAppMS TeamsVoiceIn-app

You stay in the loop, the whole way

You see what the agents plan to do and why, before anything reaches an employee. Approve it, change it, or hold it.

All of it runs on your Context Graph

One living map of your organization: who each person is, what they got wrong, what a winning conversation sounds like, what actually closed. It is built from your data, not a general model, it gets sharper every time, and because it is yours, no competitor can copy it.

The agents at work

An army of agents, orchestrating the outcome

Each agent owns one job and works toward the outcome you set, some working directly with your people, others running in the background, all drawing from the same Context Graph.

Sales Coach

Coaches sellers on real calls and scores them on what actually closed the deal.

AI Roleplay

Lets people practice tough conversations in realistic scenarios, then provides a score and feedback for improvement.

Document to Learning

Turns your SOPs and product docs into short, usable lessons in hours, not weeks.

SOP Coach

Keeps people current on the latest process, and checks they can actually follow it.

Skills Architect

Maps roles to the skills they need, and shows where each person stands against them.

Assessment Builder

Builds role-relevant assessments automatically and measures readiness against the skills that matter.

App Coach

Guides people through your own tools in the moment, right where the work happens.

Built by enterprise L&D experts

The idea is new. The company behind it is not

Autonomous Enablement OS is a new way to enable your workforce. It is built by Disprz, the team that already runs learning and skilling for some of the world's largest enterprises.

500+

enterprises

3.5M

learners

25+

countries

10+ yrs

in enterprise L&D

Organisational learning works best when it is relevant, personalised, and accessible. For us at Piramal Finance, our focus is on building the right capabilities and enabling our people to perform at their best. AI allows us to move beyond traditional, cohort-based learning and embed contextual learning into operational workflows. Through Autonomous Enablement, we see a meaningful opportunity to bring personalised coaching closer to individual needs, further aligning with everyday business situations. We are excited to partner with Disprz as we build a more adaptive, continuous, and meaningful approach to enterprise skilling ecosystem.

Parneet Soni

Head HR, Retail Finance

Piramal Finance

See it work on your own onboarding

Autonomous Enablement OS is rolling out to a first group of teams. Get early access.

See how it works

Frequently asked questions

What is an Autonomous Enablement OS?

Autonomous Enablement OS is a self-improving system that runs the execution of workforce enablement for you. You define the business outcome, and AI agents use your organization’s context to determine what people need to know and do, build the learning and practice required, and coach employees in the flow of work. The system learns from performance data and continuously adjusts what it delivers. Your L&D team sets the strategy, guardrails, and priorities; the OS handles the execution.

How is Autonomous Enablement OS different from Disprz LMS and LXP?

Disprz LMS and LXP are learning platforms built to manage and deliver learning. As AI takes on more of the work, specialized agents can extend that capability beyond the platform. For example, Sales Coach for seller coaching, App Coach for application guidance, or SOP Coach for procedural practice. The Autonomous Enablement OS connects these capabilities into one system.

It brings together your learning platform, AI agents, enterprise data, and workplace systems, understands the business outcome you are trying to achieve, and determines what needs to happen across them. It can trigger the right learning, send an employee into practice with an agent, deliver coaching in the workflow, capture the resulting performance signals, and use those signals to determine what should happen next. Because the OS is platform-neutral, it can coordinate Disprz or another LMS/LXP with the AI agents and enterprise systems already in place.

How is Autonomous Enablement OS priced for enterprises?

Autonomous Enablement OS is priced based on the scope of the deployment, the capabilities you need, and the scale of your organization. Since each enterprise may use a different combination of agents, integrations, and workflows, pricing is tailored to the specific use case and business requirements. Get in touch with our sales team to discuss your requirements and find the right approach for your organization.

Is it in the pilot phase or has it been launched?

Autonomous Enablement OS is already launched and LIVE with multiple enterprises globally. These organizations are already using the OS and its agentic capabilities across real business use cases. We are now scaling it across more enterprises, expanding the range of use cases and capabilities as adoption grows.

What use cases can it solve in L&D?

Enterprises are currently adopting Autonomous Enablement OS across priorities such as onboarding, sales enablement, and talent development, where the need for continuous, outcome-driven enablement is especially strong. These represent some of the applications gaining traction today, while the OS can be applied more broadly wherever L&D needs to connect capability building, execution, and business outcomes.

How does it deliver learning in the flow of work?

The OS acts as the control layer between business context, learning, AI agents, and employee workflows. It takes signals from systems such as your CRM, HR platform, LMS, or workplace tools, determines what capability or performance needs those signals point to, and triggers the right intervention.

For example, if a sales rep is preparing for a new product launch, the OS can identify the relevant capability requirement, pull the required learning from the LMS, trigger Sales Coach for targeted practice, and deliver that support through the rep’s workflow. It then captures performance signals and uses them to determine the next intervention. In this way, the OS continuously connects business needs to learning and action, rather than simply delivering content.

Is our data used to train AI models, and where is it stored?

Your organizational data, learner information, and content remain protected within the Disprz environment. Customer data is not used to train AI models, and data handling follows established security, privacy, and access controls. Disprz is designed to keep enterprise data secure while enabling AI agents to work with the context they need to deliver personalized enablement.