X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention
In enterprise operations, the context required for an AI agent task is scattered across systems of record, static information stores, and communication channels. What is stored is system state, a lossy representation of the work that actually happened. The prevailing approach retrieves by matching request content to what is stored; for narrow requests this works well. But synthesis quality depends on knowing what to surface and how to interpret it: knowledge specific to each organization, team, and individual, present in behavioral patterns, absent from any retrieval index. For the agentic task of proposing enterprise-valuable leads to sellers, this approach breaks down: True Lead Rate is...
| Authors | Guruprasad Raghavan, George Nychis, Rohan Narayana Murthy |
|---|---|
| Primary category | cs.AI |
| Published | 15 May 2026 |
| Last updated at source | 20 May 2026 |
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