Post by Martin Kihn

SVP Strategy @ Salesforce | 4x Bestselling Author | Keynote Speaker | Podcast Host (PaleoAdTech) | ex-Gartner, Publicis, MTV | AI Data Scientist

πŸ’₯ A sizzling agentic AI acquisition -- this one called Qualified -- on top of a recent spree tells us what Salesforce is building for #Agentic AI. it's ambitious: πŸ‘‰ *Qualified* is a B2B lead management tool that turns site visits (and phone calls) into Agent conversations, back and forth, answering questions, booking meetings. It's grounded in CRM if you've seen the visitor before - past interactions, firmographics, etc. so the messaging is targeted to the company, user, role and product interest. Qualified is a major acquisition compared to the others (except Informatica and Own Company, which were more about data integrity) ... founded in 2018 by former Salesforce execs w/ $163M in funding, incl. from Salesforce Ventures. So what does it bring to Agentforce? A person who uses both Qualified and AF said: "Qualified is like an Agentforce 'light' optimized for sales and marketing ..." Easier to deploy, more narrowly focused. so it can be turned in a 24/7 SDR to capture leads while Agentforce does everything else like reanimating ghosts. It has an AI SDR Agent called Piper (as in Pied I assume) that captures and nurtures leads using web chat, 2-way email; and text, voice, video on the site itself. It was always integrated w/ Salesforce so it's a natural fit. What about the other Agentic AI acquisitions? Here's why they go: πŸ‘‰ Spindle AI - models different scenarios, predicts what will happen, and recommends better scenarios. it uses what's called a neuro-symbolic approach to quickly build and improve impact forecasts for things like pricing & packaging changes, sales mix, etc. πŸ‘‰ Apromore from Salesforce - also provides "process intelligence" simulating and optimizing processes. this is designed more to provide real-time view of actual business processes in action (like a BI command center) that can help identify opportunities for automation (via #Agentforce) and impact on KPIs πŸ‘‰ Regrello - can be used to actually create the automations identified above. so it's kind of like Robotic Process Automation (#RPA) for the Age of Agentic AI (AAA). its founder said Regrello's goal is to "eliminate the friction" πŸ‘‰ Wail - meanwhile, you can improve all your Agents and processes with better SQL, right? Wail builds a "semantic layer" of enterprise metadata so it gets connections and governance rules; then uses this to let users describe what they want in natural language, turning it into SQL, knowing where the data sits, its connections, who can use it. πŸ‘‰ Convergence AI practical spin, this can be called an "adaptive system" that helps AI agents do things that humans do in real (digital) life. things humans do well but bots don't like handle pop-ups, weird interactions, errors, site changes. πŸ‘‰ Zoomin - and behind the scenes, Zoomin makes unstructured data available from manuals, articles, APIs etc. to provide accurate and complete product info. (it doesn't have to be product info but that's their focus.)

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