Jeff Edwards

Legacy phone systems weren’t built for AI agents. Most outbound calls still hit IVRs that expect keypad input. “Press 1 for Sales. Press 2 for Support.” Until now, that ended AI agent calls. So we rebuilt how Vapi handles DTMF. You can now: • Dial on the telephony keypad mid-call • Parse user keypresses and branch logic • Navigate IVR trees like a human operator This unlocks banks, insurers, and public agencies with legacy systems. Now supporting DTMF natively, so your agents can handle the real world. Read more: https://vapi.sh/7eD5ZPC

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How do we break down the barriers stopping agents from collaborating? In our upcoming session on 🗓️ 7/31—Beyond Protocols: AGNTCY for Multi-agent Software—Papi Menon, Outshift’s VP of Product Management, will illustrate AGNTCY’s role in providing the building blocks for the Internet of Agents to enable the full multi-agent software development lifecycle. Whether you're just starting out or already far into development, this session is designed for everyone and will: 🔹Explain why multi-agent software requires a new OSI model, along with key requirements 🔸Explore the Internet of Agents architecture and its core components, giving you a clear understanding of its structure and how it enables agent-to-agent collaboration 🔹Show how AGNTCY components are being built to support all protocols, including Model Context Protocol (MCP) and Agent-to-Agent (A2A), allowing for seamless integration and collaboration across diverse systems 🔸Discuss real-world examples of multi-agent workflows already transforming critical areas like IT operations, security response, and customer support ➡️ Register now: http://cs.co/60484CMmr #InternetOfAgents #A2A #MCP #AGNTCY #OpenSource

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How do you prepare reps for the real pressure of a live discovery call? Nathan Irby at Snowflake put Yoodli to the test: ✅ Uncovering a customer’s architecture in real time ✅ Whiteboarding while screen sharing ✅ Asking smart questions to extract technical details ✅ Staying professional under pressure His takeaway: this is the closest he’s seen to replicating the real challenges of technical discovery. With Yoodli, teams can practice those skills—before it really counts. https://lnkd.in/g8QEK4yr

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Instead of post-call analysis, agents can now get live support during conversations—leading to immediate results: 📉 20-25% reduction in average handle time 📈 30% improvement in first-call resolution ⏱️ 50% less after-call work How it works: real-time speech transcription feeds AI models that analyze sentiment, ensure compliance, and surface relevant knowledge instantly. Agents can focus on empathy and problem-solving while AI handles information retrieval. We just released a technical walkthrough explaining real-time agent assist and showing how to build your own system using AssemblyAI's streaming API: https://lnkd.in/era5Dzk8

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If your sales ops team is still building comp plans in Excel, it might be time to ask yourself some questions. 🟦 How much time are you spending updating formulas instead of improving performance? 🟦 What’s the cost of every payout dispute that delays trust, or worse, payment? 🟦 Can your current tools scale as your business evolves? 🟦 Are you making decisions based on real-time insight, or chasing last quarter’s numbers? #SalesCompensation #SalesOps #NoCode #EnterpriseAutomation #Optymyze

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With the complexity of B2B sales, the challenge of aligning disconnected buying groups on a decision is a major obstacle for sellers. Watch AJ Olander's insights on how to overcome internal buying committee disconnects here. >> https://bit.ly/42y7As0

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35% connection rate. 15% increase in win rate. With declining connect rates and slow data fulfillment from ZoomInfo, momentum was slipping for Alleyoop. But they didn’t just switch data providers. They leveled up performance. Here's the complete story. https://hubs.ly/Q03xBSrT0  As a Service leader, Alleyoop relies on speed, accuracy, and scale to keep its SDR engine running. So they ran a head-to-head test with the three big players. SalesIntel came out on top. Faster data. More conversations. Better outcomes. In Gabe Lullo 😎’s words, “These were phenomenal results for us.” And now? Alleyoop’s SDRs are connecting faster, converting more, and operating with confidence. #b2bsales #salesdevelopment #outboundprospecting

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From “just a database” to a true go-to-market engine. Jeremy Melius from Impartner, shares how ZoomInfo Copilot helps their sellers move deals forward - and ultimately increase win rates - by surfacing what they don’t know. With Copilot, the team can: 🔍 Spot and unblock bottlenecks across the sales cycle 👥 Identify and engage the full buying committee (not just an ICP) 📧 Draft effective, personalized emails that resonate 🚩 Leverage real-time intent signals beyond what’s in Salesforce Hear Jeremy’s take on how Copilot accelerates speed-to-market and drives better outcomes for Impartner.

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Sovrn is turning audience insights into revenue gains. By unifying siloed data, Sovrn achieved: • 70% cost savings after migrating EMR workloads • 5x faster data pipelines delivering insights more quickly • 30% increase in publisher yield with smarter targeting Supporting 6,000+ publishers, Sovrn is proving how better access to insights drives stronger results across the open internet. https://lnkd.in/g2vp_6kJ

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Kristen Gouldthorpe, VP of Enterprise Sales at UKG, is unlocking a new level of precision in how her team sells 🔍✨ With Clari Copilot’s AI-powered call summaries, action items, and follow-up suggestions, UKG isn’t just keeping CRM data clean — they’re boosting forecast accuracy and expanding coaching capacity across the board. The payoff? Managers can ramp new AEs faster, coach with confidence, and keep every deal moving in the right direction. That’s how Clari turns every conversation into a catalyst for revenue growth 🚀

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NVIDIA's Sr. Director of Enterprise Revenue Marketing, Aristomenis Capogeannis, reveals how they use propensity modeling to predict buyers before they even know they're ready to purchase in ⬇️ 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟏: 𝐏𝐫𝐨𝐩𝐞𝐧𝐬𝐢𝐭𝐲 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝟏𝟎𝟏 - How NVIDIA uses buyer behavior data to reshape their entire marketing approach  - The difference between traditional scoring and true propensity modeling  - Practical steps to implement this in your organization Real strategies. Real results. No guesswork. Get the full agenda & save a seat: https://lnkd.in/exsTWs7B

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We pulled data from 224 B2B SaaS companies to answer one simple question: What actually makes a lead convert? The answer surprised us...and it changes how GTM teams should think about pipeline. We put everything into a new research report: “What Does It Take for a Lead to Convert?” Check it out below or via the link in the comments.

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Consent only works if your platform does. And not all CMPs are built for enterprise-level pressure. The latest G2 Grid Report breaks down how the major players actually perform where it matters—implementation, usability, scalability, and real user outcomes. If you’re evaluating your CMP stack (or planning to in 2025), this report gives you the data that your internal stakeholders will actually trust. A better consent strategy starts with better information.

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Thirty years ago, sales automation software did not exist. Reps worked every lead manually, every call was a shot in the dark and every coaching session was anecdotal. Fast forward to today: GTM teams are swimming in tools, with many CROs reporting that their sellers juggle a dozen or more platforms. But which AI investments actually deliver returns? It's still unclear. Based on conversations with 50+ CROs across company stages and GTM motions, Battery Business Development Partner Scott Goering and Operating Partner Bill Binch created this playbook to help CROs take a disciplined, prioritized approach to AI investment. Read it here: https://okt.to/PoZUpG

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Analytics told us where things were breaking down. Coaching is what fixed it. This case study shows how identifying gaps in real sales conversations — and then working directly with agents to address them — led to stronger conversions, higher order values, and momentum during a season that usually slows teams down. See how data and coaching worked together to drive results → https://lnkd.in/gVHWscF2

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A 2025 commissioned Forrester Consulting Total Economic Impact™ study found that Semarchy Data Management delivered a three-year 315% ROI and a payback period of under six months for enterprise customers. These results highlight how Semarchy drives significant user productivity, technology cost savings, and faster time-to-value—proof that a modern, agile data management platform is a true business accelerator. Learn more about the study’s findings and quantified benefits for data projects at Semarchy.com. https://lnkd.in/e2vDSRNA #DataManagement #MDM #ForresterTEI #Semarchy

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Vic DeMarines outlines how to access monetization data from Revenera. See how to gain insights into renewals, churn risk, and adoption, and learn about the power of Conditional Notifications >>> https://lnkd.in/euFMSqK6

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