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Recently, while on the ground in Austin, Texas, attending ZohoDay 2026, I had the pleasure of sitting down with   Vaibhav Dani , the CEO of   Map Communications . In the enterprise software ecosystem, we talk endlessly about digital transformation, but it is always refreshing to ground those lofty concepts in reality by speaking directly with the leaders navigating these complex implementations. Our conversation touched on a surprisingly common, yet notoriously difficult challenge: harmonizing a homegrown operational tech stack with off-the-shelf enterprise software. Map Communications’ journey with the Zoho ecosystem provides a masterclass in pragmatic architecture, the age-old "buy versus build" dilemma, and the foundational data hygiene required to actually make artificial intelligence work. TL;DR     If you do not want to read this, here’s the full length   video interview . Everybody else, please read on. The Business Context: Bespoke Service at Scale ...

During ZohoDay 2026 in Austin, I had the opportunity to sit down and chat with Tony Thomas, the head of   Zoho   US. Tony has been in this role for just over a year, navigating an economic and technological landscape that got ever more complex. Our conversation covered everything from shifting macroeconomic realities and Zoho’s upward trajectory into the mid- and enterprise market, to the fundamental ways generative and agentic artificial intelligence are challenging the traditional economics of software implementation. With software pricing already being under pressure, it is more than likely that implementation costs are next. I said it before, the time-and-material billing that SI’s are still favoring is probably   going the way of the Dodos . What became abundantly clear during this conversation was that Zoho continues to forge its own contrarian path, adapting to market pressures by continuing to rethink how software value is delivered. One could even say that Zoho’s...

The News On February. 25, 2026, Salesforce announced a pricing and metrics update . During the company’s Q4 FY2026 earnings call, CEO Marc Benio ff, together with CMO Patrick Stokes , unveiled the Agentic Work Unit (AWU). Positioned as a metric to quantify the labor performed by autonomous digital systems, Salesforce defines an AWU as one discrete task accomplished by an AI agent. According to Salesforce, this discrete task represents the exact moment " raw intelligence is converted into real work ". It is not a fixed unit but measured as a processed prompt, a completed reasoning chain, or an invoked tool. Salesforce explicitly designed the AWU to move the industry conversation away from the raw consumption of Large Language Model (LLM) tokens. As Benioff noted, tokens only measure "how much an AI talks," whereas the AWU is intended to measure actual business execution. The scale of this rollout is massive. Salesforce reported that its platform has already processe...