

Session 2 — The Context Gap: What AI Agents Need to Work Across the Enterprise
Session 2 of 4 in The Agentic Enterprise, a WORK-SELF webinar series on turning agentic deployments into measurable ROI.
Giving an AI agent access to a model, CRM, knowledge base and workflow platform does not mean it has enough context to act correctly.
Agents also need to understand the task, the employee responsible for the outcome, the operating rules around the work and the point at which human judgement is required.
This session explores the enterprise context stack and the architecture needed to deliver that context to agents at the moment of work.
What we’ll cover
Why access to enterprise tools and data is not the same as situational context
The role of enterprise data, workflow state and human operating context
How semantic retrieval, interoperability and MCP support dynamic context delivery
How context infrastructure can be applied inside a real enterprise workflow
Speakers
Wolf Magdelinic, CEO and Co-founder, WORK-SELF
Guest speaker to be announced
Who it’s for
CIOs, CTOs, CDOs, CAIOs, enterprise architects, AI platform leaders and integration leaders responsible for deploying agents across the enterprise.
Part of The Agentic Enterprise, a four-part WORK-SELF webinar series.