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Unstructured Data Stalls B2B Deals: Can Agentic Commerce Fix Carts?

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  For nearly two decades, B2B digital transformation meant converting analog friction into digital self-service where portals replaced catalogs, online forms superseded phone orders, and search engines became the primary engine for buyer research. Yet, despite these digital investments, enterprise buying cycles have hit an operational wall. Buyers now spend most of their purchasing journey conducting independent online research before ever speaking to a sales representative. They accumulate context across dozens of fragmented touchpoints, reading whitepapers, evaluating specs, and comparing vendors. However, this shift toward self-guided discovery has exposed a critical execution gap: finding information is no longer the bottleneck, taking action is. While research has digitized, the transaction mechanics remain stubbornly manual. Modern buyers are forced to act as human middleware. They research via one channel, manually aggregate product codes, cross-reference pricing tiers again...

How Can CRM Managed Services Stop Your AI Token Bills From Exploding?

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  More automation and higher token bills: that is the contradiction quietly showing up in enrichment budgets across revenue operations teams. A workflow gets connected to an LLM, a spreadsheet of 10,000 contact or account rows gets queued for cleansing, and the invoice at the end of the month tells a different story than the one the pitch deck promised. The assumption was simple: automate row-by-row enrichment, remove manual labor, and cut cost. What actually happens is that a system prompt gets sent again, and again, and again, once for every single row, because raw API calls carry no memory between requests. Each row pays for context it already paid for a moment ago. This blog traces where that cost actually comes from, why it compounds instead of flattening, and what an orchestration layer changes about the economics of CRM data enrichment . Why does processing 10,000 rows get more expensive with every batch, not cheaper? Raw LLM calls are stateless by design. Every request to a...