Make workforce readiness part of your enterprise infrastructure.

For your team, this is not four systems to secure and integrate separately—it is one. Docebo brings Learning, Skills Intelligence, Knowledge, and Agents together in a single Workforce Readiness Platform, so a readiness gap can move to recommended learning, relevant knowledge, and measurable progress without stitching together point solutions or managing four sets of permissions.

Docebo Knowledge does not require a new repository or a redesign of your access controls. It connects approved enterprise sources to permission-aware search and AI-powered answers, so people find trusted information while your team keeps source ownership and existing access controls in place. Knowledge also connects to Skills, Learning, and Agents, so an answer can lead to a course, certification, skills update, or escalation without a separate system in the loop.

Docebo runs as a SaaS platform on AWS, with API-driven services, load balancing, autoscaling, multiple availability zones, and regional hosting and disaster recovery options that support your resilience and data requirements. Your architecture team can review deployment patterns, data flows, and identity controls during evaluation, with Docebo specialists available for deeper technical review.

Every control is documented so your team can validate it, not take it on faith. The Trust Center, architecture documentation, and security questionnaires cover encryption in transit and at rest, annual SOC 2 Type II audits, ISO 27001 certification, third-party penetration testing, incident response, and disaster recovery—so your security team can assess what matters on its own timeline.

AI operates within the governance standards your team applies to enterprise technology: what data is accessed, who can access it, what AI can do, and how activity is monitored. Admins control which AI capabilities are enabled and what data they can reach. Every AI experience is limited to content a learner is authorized to view, and customer data never trains Docebo models or is shared with a broader language model.

You choose the integration pattern. Docebo connects through native integrations, REST APIs, webhooks, Docebo Connect, scheduled SFTP exports, and Learn Data pipelines into your data lake or warehouse. Use APIs and webhooks for real-time exchanges, scheduled pipelines for recurring transfers, and Docebo Connect where prebuilt connectors reduce integration effort.

Identity stays under your control. Docebo supports SAML and OpenID Connect, along with just-in-time provisioning and scheduled or API-based sync from your HRIS, directory, or CRM. It can support separate authentication experiences for employees, customers, partners, and members when your operating model requires it.

Yes. It is designed to standardize governance, not create another layer of exceptions. Learner, power user, and super administrator roles work with granular permissions for administrative tasks, while branches, groups, user fields, and automated rules assign the right experience and access to every audience across business units, regions, brands, and partner communities.

The goal is a platform your team can operate and extend after launch—not one that depends on Docebo indefinitely. Implementations move through discovery, configuration, data migration, integration, enablement, launch, and post-launch support in a phased rollout or broader launch based on your capacity. Your team can build with guidance, engage an implementation partner, or use a blended model.

One platform supports employees, customers, partners, members, and other extended-enterprise audiences, so scale does not require a new instance or vendor for every audience. Branches, groups, permissions, and catalogs manage complex organizations, while autoscaling, global content delivery, and regional hosting help map the design to user populations and rollout strategy.

Your reporting architecture—not a fixed one. Use in-platform reporting for operational insight, APIs and webhooks for event-based data, scheduled exports for recurring transfers, and Learn Data pipelines for broader analytics. Audit information tracks every change and shows exactly who updated a record and when.