Docebo has launched Docebo Knowledge and Docebo Agents, now available to customers using its Learn platform.
The rollout adds a knowledge search layer and a set of AI agents to Docebo's workforce learning software. The tools are designed to draw on learning records, skills data and approved company information held across systems including SharePoint, Confluence, Google Drive and Slack.
The launch comes as companies increase spending on AI tools while still building the systems needed to manage skills, knowledge and workflow context. Docebo cited findings from its 2027 Skills Intelligence Report showing many businesses are adopting AI faster than they are putting those foundations in place.
Docebo Knowledge is designed to let employees search training material and connected business systems from a single interface. It indexes content from Docebo's own platform, including SCORM and xAPI packages, and returns answers, procedures, videos and source links based on approved material.
Users can then move from an answer to a related course, certification, practice exercise or workflow. The system also carries over permissions set in each connected source, so users only see information they are authorised to access.
Agent workflows
Alongside the knowledge tool, Docebo has introduced AI agents that automate tasks linked to learning and upskilling. The agents use information such as a learner's history, identified skills gaps and organisational taxonomies, and can act across Docebo and connected systems.
Four pre-built agents are available at launch. They cover course creation from source material, learner support inside a course or learning plan, post-course reinforcement through practice sessions, and content sourcing from third-party providers.
Docebo is also offering a no-code tool for customers that want to create their own agents. It allows organisations to set an agent's goal, instructions and permitted actions without writing software code.
More than 50 customers in sectors including transportation, retail, distribution and food service took part in pilots before the launch. Docebo said the tests produced early signs of time savings in administration and support.
One international electronics distributor used the Marketplace Agent to reduce manual content curation by about five hours a month for each administrator. A global restaurant operator used the Reinforcement Agent to save store managers about 10 hours a month on training follow-up, while the Tutor Agent handled 25% of frontline training questions without an administrator.
A retailer that recruits 2,500 new employees a year built its own onboarding agent during the pilot. Docebo said the business expects the tool to save sales managers between one and two hours per new hire.
Control measures
Docebo said it has built approval and oversight functions into the new agent system. Administrators can decide which agents operate, who can use them and which actions require human sign-off before completion.
Each action is logged and follows existing user permissions. Customers can also track AI credit usage to monitor costs as use expands.
The launch also extends Docebo's effort to make learning tools available outside its own interface. Through Model Context Protocol, customers can connect its system to AI assistants and workplace tools including Microsoft Copilot, ChatGPT and Claude.
That means employees can search for content, check progress and enrol in courses without opening the Docebo platform. Administrators can also handle tasks such as reporting and enrolments through connected tools.
Alessio Artuffo, President & Chief Executive Officer at Docebo, said the changes reflect how businesses are beginning to manage both staff and software agents in day-to-day operations.
"Every organization is about to run two workforces: its people and the agents working alongside them," said Alessio Artuffo, President & Chief Executive Officer at Docebo. "Both need the same things to perform well: trusted knowledge and an accurate picture of skills. That's the foundation Docebo is now built on. Agents run through the platform, taking on the manual work that has held learning teams back for years. Every employee gets development shaped around their own skills and goals. Less time on administration. Less budget spent on work that doesn't move the business. More capability where it counts."