Context Graphs Have a Blindspot: The Human Reasoning Needed for an Agentic Enterprise
Most context graphs miss the most important layer: human reasoning. Explore why capturing tacit knowledge is the missing link between AI experimentation and real transformation.
Context Graphs have become central to the conversation about why Enterprise AI succeeds or fails — but most miss a critical gap: the absence of human reasoning. This session 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 process maps 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.
Speakers
Nischal Nadhamuni
CTO & Co-Founder
Klarity
Activate Your Change Agents
Discover how Klarity can empower your team to make work better, continuously.
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