Mili Garg

AI hallucinations are very real and increasingly relevant.  They happen when LLMs (large language models) confidently generate answers that are flat-out wrong.   The catch is – this tendency to ‘hallucinate’ is an inherent byproduct of how LLMs are trained.  They don’t “know” things the way we do. Instead, they predict what sounds plausible based on […]

What if your best sales rep never slept, never forgot a lead, and never missed a follow-up?  Sounds too good to be true? Only until now.  But first, let’s understand where most deals get stuck. It occurs when there’s a gap between interest and action.  A lead requests a demo… then disappears. A follow-up gets

AI is already changing how businesses work. However, for most, it remains working in the background as an assistant. You see it in forecasts, email suggestions, and automated support replies.   Helpful? Definitely. But mostly reactive.  However, there’s a transition happening. Across teams, AI is supporting communication and starting to own it. And not in a

Agentic AI is having its moment. It’s making decisions, taking actions, and collaborating with your tools.  Suddenly, your team has tools that can browse the web, write a blog post, fill out a spreadsheet, book a meeting, make calls, and update CRM.   Impressive? Absolutely.  But as with any emerging tech, there’s a gap between what

You’ve seen what AI can do. But what if it could do more than just assist? What if it could actually run the process? Most teams already use AI. It drafts emails, suggests content, supports customer service, and helps with faster decisions. Useful? Yes. But surface-level.  But there’s a difference between AI that assists and AI

AI might just be the upgrade your pitch has been waiting for.  Not too long ago, cold calling was all grit. You build lists, pick up the phone, and dial. Again, and again. Success came from volume and persistence.  And for decades, that’s how outbound worked.  However, that’s not how sales departments of fast-moving companies

Better insights. Smarter coaching. Higher conversions.  There’s a quiet revolution happening in sales teams across industries. And it starts with how we treat sales conversations.  Not long ago, reviewing a sales call meant scanning a CRM note, maybe skimming a transcript, or listening to three or four recordings a week. But today’s most competitive teams

AI used to wait for us. Now, it acts with us. Most people still think of artificial intelligence as something you prompt: ask a question, get an answer. It’s fast, efficient, and narrow. This traditional AI, built on machine learning models, excels at single tasks like sorting emails, detecting fraud, or recommending movies. But it doesn’t

Your customer calls are going to help you build the next winning business strategy.   These conversations happen daily, often hold insights most teams chase through surveys, support tickets, and brainstorming sessions. But here’s the problem: we record but rarely use them.  What are customers struggling with? What keeps coming up in objections? Which explanations actually

Your next breakthrough sales win is probably hidden in conversations you’ve already had.  Speed is essential in sales, but speed alone won’t close deals. Success depends on actionable insights gathered from agent-customer conversations.  Every call shows what prospects prioritize, the challenges they face, and the key factors influencing their decisions. Yet most sales teams review