The easy story goes like this: hand one experienced person a few AI agents and she becomes a company. As we discussed in our recent CRMKonvo with Kristy Tupper , founder of OCSI and a business, product and AI strategy advisor, the capacity half of that story holds up. The company half does not. What Kristy has built is disciplined, and the discipline shows why it is not a company. TL;DR If you want to watch the full CRMKonvo, please go ahead here (optimized for smartphones) or here (optimized for tablets/computers). Else, be my guest and continue to read. Or do both … A Division of Labor Is Not a Delegation of Judgment Kristy's roster reads like an org chart. Chad (ChatGPT) runs marketing. Claude is research assistant, junior business analyst and admin. Phil (Perplexity) is the deep research department. Gemma (Gemini) is the graphics department and the second reader, provided she gets a very long prompt. Doing all of this without AI, Kristy says, would take five or six peo...
Zoho rebuilds Zoho Analytics around an ontology, a semantic layer and a multi-agent Ask Zia. The move lands in a market where everybody, from SAP to Microsoft, now fights over business context. AI agents without business context are confident guessers. They do not know what "revenue" means in your company, which customer record is the right one, or which supplier belongs to which purchase order. With its new release of Zoho Analytics, Zoho draws the consequence and builds the context first, then the agents on top. What Zoho announced On October 28, Zoho announced a major new version of Zoho Analytics. Zoho now calls it an Agentic Analytics platform and positions it as the trusted intelligence layer for businesses. The release rests on four pillars: Trusted data and business context. A new ontology models canonical business entities such as customers, orders and invoices, their relationships and their mapping to source tables. A semantic layer , which Zoho calls a busines...