AI that keeps your people qualified. Not just engaged.

Valamis AI monitors skills data, assessment results, and learning activity continuously — so compliance gaps are visible by role, team, or location before they become audit risks. When regulations change, the system identifies which content needs updating and which learners need to be reassigned. Role changes trigger automatic gap detection. Every AI-generated compliance asset goes through human review before publication, so subject matter experts and legal teams stay in control of what employees are certified on.

Yes. Valamis supports connections via Model Context Protocol (MCP), the open standard for connecting AI agents to enterprise systems. Current integrations include Microsoft Copilot and Copilot Studio, Claude by Anthropic, and ChatGPT by OpenAI. Gemini integration is in progress. This means AI agents can query compliance status, training records, skills data, and learning recommendations directly from Valamis without anyone needing to open the platform.

A headless LMS is a learning platform where data and functionality are accessible via API or MCP, independently of the user interface. Instead of requiring users to log into a portal, other systems and AI agents can call learning data directly. Valamis supports a headless architecture: compliance status, certification records, skills data, and learning completions are all available via API and MCP to authorised enterprise systems. This matters most in regulated industries where compliance data needs to be accessible across the enterprise stack, not locked inside a single platform UI.

Valamis has significantly expanded its live AI capabilities — more than quintupling the number of live AI features in the platform in a single year. Independent analysis places Valamis above market average across all five functional areas of the learning systems model: Learning Experience, Learning Management, People Development, Workplace Learning, and People, System & Architecture. Particularly strong areas include Search, Analytics & Reporting, and Extended Enterprise AI capabilities.

Valamis includes AI for learning recommendations (matching employees with relevant content based on role, skills, and history), content creation assistance (drafts, summaries, and translation), and skills intelligence (identifying where gaps are forming across teams from assessment and activity data). For Microsoft 365 users, the Valamis Copilot Connector extends these capabilities into the tools employees already work in. These capabilities are part of the platform, included by design.

Valamis processes learning data within the platform. Employee data stays inside your Valamis environment and is not used to train external AI models. The personalization engine works from your organization’s own skills framework and learning history. The same security and access controls that govern the rest of the platform govern AI-processed data.

Yes. Valamis AI assists with course outlines, learning objective drafts, assessment question suggestions, and first-draft module text. AI Translations adds multilingual versions of that content within the same authoring environment, with glossary control for terminology consistency. Every AI-generated piece goes through human review before it reaches learners. In practice, the first 60–70% of content creation time is reduced, so L&D professionals spend their time on accuracy, relevance, and quality review.

Valamis AI analyzes assessment results, learning completion patterns, and skills profile data to show where gaps are concentrated: by role, team, location, or business unit. Periodic skills audits go stale before anyone acts on them; Valamis gives L&D and HR leaders a continuous view of where the organization is behind on the skills it needs. The AI Skills feature can also auto-generate skill frameworks from role and industry context, feeding more accurate gap data into the system. That data informs both learning priorities and workforce planning.

AI capabilities are integrated into the Valamis platform. Personalized recommendations and skills intelligence are part of how the platform operates, included in the core product. Content creation assistance features may vary depending on your plan configuration; your Valamis contact can confirm exactly what is available in your environment.

Every AI-generated output in Valamis is reviewed by a human before it is published. Publishing requires human approval; the AI drafts, people decide. In regulated environments, where compliance content must be legally accurate and defensible, this review step is a hard requirement built into the workflow. Valamis AI reduces time spent on drafting so subject matter experts can focus on what only they can verify.

Valamis AI monitors skills data, assessment results, and learning activity continuously — so compliance gaps are visible by role, team, or location before they become audit risks. When regulations change, the system identifies which content needs updating and which learners need to be reassigned. Role changes trigger automatic gap detection. Every AI-generated compliance asset goes through human review before publication, so subject matter experts and legal teams stay in control of what employees are certified on.

Yes. Valamis supports connections via Model Context Protocol (MCP), the open standard for connecting AI agents to enterprise systems. Current integrations include Microsoft Copilot and Copilot Studio, Claude by Anthropic, and ChatGPT by OpenAI. Gemini integration is in progress. This means AI agents can query compliance status, training records, skills data, and learning recommendations directly from Valamis without anyone needing to open the platform.