Context Graphs Have a Blindspot: The Human Reasoning Needed for an Agentic Enterprise
Context Graphs have become central to the conversation about why Enterprise AI succeeds or fails. Join Klarity’s Co-Founder & CTO, Nischal Nadhamuni, for a deep dive to understand why human judgment is a blindspot for most context graphs today, and how to leverage the Klarity platform to capture human decision traces scalably to build context graphs that power truly effective AI agents.
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When and where
Context graphs are critical to enterprise AI but most miss the most important layer: human reasoning. In this webinar, Klarity’s CTO & Co-Founder, Nischal Nadhamuni, explores why capturing tacit knowledge is the missing link between AI experimentation and real operational transformation.You’ll learn how to:
- Close the human knowledge gap: Understand why system logs and documentation miss the “why” behind decisions and how that limits agent performance.
- Capture decision traces at scale: See how work artifacts, workflow observation, and AI-led interviews work together to build a living, continuously updated Process Index.
- Activate the agentic enterprise: Enable agents to traverse a human-centered context graph — surfacing insights, reducing bottlenecks, and unlocking measurable efficiency gains.
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