The Agentic Revenue Brief Podcast

The Agentic Revenue Brief Podcast AI agents are moving beyond demos and into the work of running a revenue team. In this episode, Tim Cortinovis looks at what it takes to make that work reliable, governed and profitable—from choosing the right model for each task to measuring the cost of a completed workflow. Why listen? Understand the economics: Learn why SAP’s model-routing approach puts cost per useful outcome—not cost per prompt—at the center of the AI conversation. Its projected efficiency gains are not results already achieved. Put guardrails around action: Explore how ServiceNow and Oracle are connecting agents to identities, permissions, approvals and business systems. Find a pilot worth measuring: Get practical ideas for testing quote workflows, deal plays, campaigns and AI Search against cycle time, errors, qualified pipeline and margin. News covered in this episode SAP: Routing work across more than 70 AI models, with over €2 billion in projected AI-driven efficiency gains. Source: Reuters Google: Expanding ads in AI Mode internationally and introducing multi-turn advertising in the US. Source: TechCrunch ServiceNow: Launching a cross-vendor Control Tower Alliance for agent discovery, identity, security, usage and controls. Source: ServiceNow Newsroom Oracle CX: Introducing applications for territory planning, service optimization and quote accuracy as CPQ configurations change. Source: Oracle Salesloft: Introducing Agentic Playbook and reporting that only 20.6% of surveyed US revenue leaders have production AI deployments with measurable outcomes. Source: GlobeNewswire Oracle Fusion: Introducing tools that route business goals expressed through supported AI interfaces into governed workflows and approvals. Source: Oracle Sprinklr: Opening a beta that connects customer signals to campaign creation, localization, governance and budget decisions. Source: Nasdaq AI crawler preferences: Major AI companies backing a proposed shared robots.txt signal for content-access choices. Source: The Verge EU AI Act: The European Commission updating its enforcement overview—a prompt to review applicable disclosures, audit trails and accountability. Source: European Commission The takeaway: Pick one workflow, define what the agent can do and what requires human approval, then measure whether the outcome earns its place in your revenue process. A Practical Book for Putting AI Agents to Work in Sales. Less manual work. Better preparation. More time with customers. In AI Agents in Sales, Tim Cortinovis shows you how to build simple AI agents that research leads, prepare meetings, draft follow-ups, keep CRM data current, and help you learn from lost deals. You don’t need an in-house development team or a months-long IT project. With the practical A.G.E.N.T. framework, you’ll learn which tasks to hand over, how to design your agents, and how to connect individual automations into a smarter way of working. Start with one task. Build your first agent. Give your team more time for the customer conversations that move business forward. Get your copy of AI Agents in Sales and put what you read to work.

The Agentic Revenue Brief Podcast with Tim Cortinovis AI in sales is moving beyond what agents can do to what they should do—and whether their actions improve results. This week, Tim Cortinovis explores the customer context, commercial rules, permissions, and human oversight needed to turn automation into trustworthy revenue execution. Why listen? See the bigger picture: Understand how CRM, conversations, and real-time engagement are coming together to inform the next customer action. Build safer workflows: Learn why agents need bounded permissions, consistent pricing rules, approval gates, and human owners. Measure what matters: Get practical ideas for testing follow-ups, voice agents, and AI-search visibility against business outcomes—not activity counts. News covered in this episode Salesforce and Braze: Salesforce agreed to acquire Braze for approximately $5.66 billion. The deal has not closed, but it signals a push toward combining customer records with real-time engagement. Salesforce News Forrester on revenue enablement: Frontline-manager adoption was the weakest area in the customer sample Forrester examined—a reminder that new features alone won’t change coaching habits. Forrester Zoom’s Unified Context Layer: Zoom is connecting meetings, calls, chats, and applications so customer conversations can inform follow-up actions. Feature availability varies. Zoom Blog Forrester’s CPQ Wave: Shared product, pricing, and configuration rules are becoming essential for reliable AI-assisted quoting. Forrester Research Microsoft’s agent governance: Agent identities, task-scoped permissions, risk controls, and supervisory agents point toward a crucial principle: intelligence does not grant authority. Microsoft Security Blog AI search and third-party credibility: A TopRank Marketing and Ascend2 survey found an association between integrating influencer programs with AI-search optimization and reported AI citations—not proof of pipeline impact. PRWeb Europe’s AI readiness gap: AWS estimates reported by Reuters suggest AI use is widespread among European businesses, while strategy, governance, and operational redesign lag behind. Reuters Technology SAP’s cloud results: SAP reported 26% cloud revenue growth, underscoring continued investment in the data and process foundations commercial agents need. The result does not establish how much growth AI caused. SAP News Center Harmony’s voice agents: The monday.com-backed company reported a customer result suggesting potential for lead follow-up. Tim explains why vendor-reported gains call for controlled tests, consent safeguards, and human handoffs. monday.com Blog The takeaway: Pick one workflow. Give it reliable context, limited authority, and a human owner. Define success before you automate it. A Practical Book for Putting AI Agents to Work in Sales. Less manual work. Better preparation. More time with customers. In AI Agents in Sales, Tim Cortinovis shows you how to build simple AI agents that research leads, prepare meetings, draft follow-ups, keep CRM data current, and help you learn from lost deals. You don’t need an in-house development team or a months-long IT project. With the practical A.G.E.N.T. framework, you’ll learn which tasks to hand over, how to design your agents, and how to connect individual automations into a smarter way of working. Start with one task. Build your first agent. Give your team more time for the customer conversations that move business forward. Get your copy of AI Agents in Sales and put what you read to work.

Agents Gain Identity, Budgets and Live Context What happens when an AI agent becomes a member of your sales team? In this episode of The Agentic Revenue Brief Podcast, Tim Cortinovis looks beyond clever answers to the permissions, oversight and business outcomes that make agents useful—and trustworthy. Why listen? Find a practical starting point: Learn how to pilot one revenue workflow with a clear owner, limited permissions and approval checkpoints. Separate targets from results: See why agent counts, projected savings and hours saved don’t tell the whole ROI story. Prepare for new channels: Explore how live account context, AI-assisted discovery and buyer agents could change the path to pipeline. News covered in this episode Google makes Gemini a persistent work agent. Its private-preview agent brings persistent context, cross-app work and coworker identities into focus. Read the announcement. Deutsche Telekom quantifies its AI business case. The company targets €2.5 billion in AI and automation savings and €800 million in non-US business AI revenue by 2030—targets, not achieved results. Read the announcement. The European Commission examines AI control failures. Scientific experts are looking at loss-of-control incidents and the questions they raise for developers. Read the update. ZoomInfo earns AI management certification. Its independent ISO/IEC 42001 certification offers evidence of management practices, not a guarantee that every workflow is safe. Read the announcement. Live account intelligence arrives in ClickUp. ZoomInfo’s MCP connector lets ClickUp agents query revenue context where teams work. Read the announcement. Microsoft links B2B ads to CRM outcomes. A HubSpot integration and larger LinkedIn company lists create new opportunities to measure advertising against pipeline, not just clicks. Read the update. Agentic commerce meets access barriers. In a limited Jefferies spot-check, Meta Muse was blocked on about one-third of tested commerce and travel sites and challenged on another third. Read the report. Orange Spain scales employee-built agents. Google reports that the company has deployed more than 1,000 Gemini agents across functions including sales and service—raising important questions about ownership and measured value. Read Google’s report. ChatGPT advertising draws more participants. Adthena observed a roughly 65% rise in weekly advertisers between July 9 and August 31. Growing interest is not yet proof of profitable returns. Read the analysis. This week’s challenge: Choose one revenue workflow. Name its owner, define its permissions, set one business outcome and test how it fails. A Practical Book for Putting AI Agents to Work in Sales. Less manual work. Better preparation. More time with customers. In AI Agents in Sales, Tim Cortinovis shows you how to build simple AI agents that research leads, prepare meetings, draft follow-ups, keep CRM data current, and help you learn from lost deals. You don’t need an in-house development team or a months-long IT project. With the practical A.G.E.N.T. framework, you’ll learn which tasks to hand over, how to design your agents, and how to connect individual automations into a smarter way of working. Start with one task. Build your first agent. Give your team more time for the customer conversations that move business forward. Get your copy of AI Agents in Sales and put what you read to work.

The Agentic Revenue Brief: Useful Autonomy Needs Boundaries Tim Cortinovis | 12 October 2026 AI agents are gaining the context and connections to work across sales tools. But before you give an agent access to your CRM, inbox, or budget, you need to decide what it can do—and how you’ll know it’s helping. Tim Cortinovis looks at this week’s developments and a practical way to start. Why listen? See how persistent agents and connected account intelligence could improve meeting preparation and sales handoffs. Learn why permissions, approvals, independent assurance, and real-world testing matter more than a polished demo. Get a simple plan for piloting one workflow and measuring its effect on time, costs, and pipeline. News covered Google introduces a universal Gemini work agent with persistent context, cross-app execution, model routing, and coworker identities. It is in private preview. Deutsche Telekom sets AI targets for 2030: €2.5 billion in AI and automation savings and €800 million in non-US business AI revenue. These are targets, not achieved results. The European Commission convenes scientific experts to examine frontier AI loss-of-control incidents and questions for developers. ZoomInfo announces independent ISO/IEC 42001 certification for its AI management system—useful procurement evidence, but not a guarantee about every agent action. ZoomInfo’s MCP connector lets ClickUp agents query live account intelligence, bringing sales context into the workspace where teams operate. ChatGPT advertiser numbers reportedly grew roughly 65% over the summer, while Microsoft tied B2B advertising to CRM outcomes—signals that AI discovery is becoming a commercial channel. Meta Muse was reportedly blocked on about a third of tested sites, illustrating the access barriers that still affect agentic buying. The supplied source HTML ends partway through the ClickUp item; it does not include source URLs for the final three bullets. This week’s challenge: Choose one cross-system workflow. Give the agent a clear identity and limited permissions, add spending caps where relevant, and require approval before customer-facing actions. Then measure preparation time, correction rates, and downstream pipeline impact. A Practical Book for Putting AI Agents to Work in Sales Less manual work. Better preparation. More time with customers. In AI Agents in Sales, Tim Cortinovis shows you how to build simple AI agents that research leads, prepare meetings, draft follow-ups, keep CRM data current, and help you learn from lost deals. You don’t need an in-house development team or a months-long IT project. With the practical A.G.E.N.T. framework, you’ll learn which tasks to hand over, how to design your agents, and how to connect individual automations into a smarter way of working. Start with one task. Build your first agent. Give your team more time for the customer conversations that move business forward. Get your copy of AI Agents in Sales and put what you read to work.

AI agents just crossed a line—from helpful tools to accountable digital teammates. In this week’s episode of The Agentic Revenue Brief, Tim Cortinovis breaks down the biggest shift in the market: persistent AI agents are entering the enterprise as an operating layer for revenue, while AI visibility, trust infrastructure, and agent economics become must-manage disciplines for modern GTM teams. Learn what changed this week—and why it matters now. Tim unpacks OpenAI’s new always-on “dots,” ZoomInfo’s acquisition of DoubleO.ai, Contentstack’s Canoe launch, Accenture’s AI readiness signal, and the Federal Reserve’s warning on trust in agentic commerce. Get practical guidance you can apply immediately. This episode shows you how to choose one high-impact revenue motion, assign ownership, define agent autonomy limits, install approval gates, and measure both performance and cost. Stay ahead of the next GTM architecture shift. If you lead sales, RevOps, marketing, or revenue transformation, this episode will help you rethink your stack around context, orchestration, action, governance, and margin—not just automation. Covered in this episode: OpenAI launched “dots”: persistent, always-on AI agents with cloud workstations, app integrations, permissions, and approval workflows—signaling a move from task automation to goal-oriented digital colleagues. https://openai.com ZoomInfo acquired DoubleO.ai: a major signal that the GTM stack is consolidating around shared context, orchestration, and end-to-end execution—not just data or isolated agents. https://venturebeat.com Contentstack launched Canoe: a new AI visibility platform that helps brands measure how generative AI engines describe, cite, and recommend them against competitors. https://www.contentstack.com Accenture reported $22.2B in bookings: with nearly 100 new advanced-AI client projects in the quarter, reinforcing that enterprise AI demand is strong—but readiness is still the bottleneck. https://investor.accenture.com The Federal Reserve spotlighted trust barriers in agentic commerce: authentication, authorization, liability, and recourse are emerging as the gating factors for scaling AI-led transactions. https://www.federalreserve.gov Key takeaway: Don’t try to automate everything at once. Start with one revenue motion. Give it a clear owner. Define where agents can act, where approvals are required, and how success will be measured—both in outcomes and in economics. If your team is building the future of revenue with AI, this is the episode to help you lead from the front.