Prompting Revenue

About Prompting Revenue

Prompting Revenue is the podcast for anyone using AI to grow something: a business, a team, a career, or a body of work. Hosted by Brett Jansen, CEO and Chief Growth Officer of Cresera AI Partners, the show brings you honest takes on where AI is taking the work. Brett has closed more than $175M in enterprise deals and helped founders raise over $310M. Her perspective comes from the field, where she ships AI into real revenue teams every single week. Every week you get three things: The AI news that matters. Filtered for operators, executives, and founders who need to know what changed before Monday morning. No list of every model release that dropped. Company spotlights. Close reads on the operators, incumbents, and AI-native challengers being reshaped by AI. What they are doing, what is working, what is breaking, and what you should steal or avoid. Workflows that work. Reusable prompts built with Brett's CRTO framework, taught live, and downloadable so you can run them for your role this week. If you are accountable for a number, running a team, or building something real with AI, you are in the right place.

Publisher

Brett Jansen

Category

business

Language

en

Explicit

No

First episode

8 Jun 2026

Latest episode

22 Oct 2026

Latest episodes

20 episodes in the feed.

1. 

   22 Oct 2026

   EP20: AI Pipeline Generation: The Sales Workflows That Actually Move Revenue in 2026

   A healthcare technology company was losing deals it should have won not on product, not on price, but on response time. A competitor was following up with qualified prospects within four minutes of initial contact. This company's average was eleven hours. By the time their follow-up landed, the prospect had already taken a demo with someone else. Then they made one AI workflow change. Response time dropped from eleven hours to under six minutes, and pipeline conversion improved 31% the following quarter. In this episode, Brett Jansen breaks down why response speed has become a structural competitive advantage in sales, and which AI-enabled changes actually move revenue versus which ones just produce the appearance of activity. Key Takeaways AI isn't replacing salespeople, it's eliminating the administrative drag. The revenue teams seeing real results right now are the ones who understood that distinction early. CRM updates, call logging, meeting summaries, and proposal drafting are being automated, freeing reps to focus on the human judgment that actually decides whether a deal closes. Speed is now a structural advantage, not a nice-to-have. The probability of qualifying a lead drops more than 80% if follow-up takes longer than five minutes after initial contact. Most sales teams aren't within a mile of that threshold without AI assistance. Time saved isn't automatically time reinvested. Gartner found AI is already saving sellers nearly five hours a week, but 72% of sales organizations are failing to reinvest that time into high-value selling activity. What the rep does with the time saved is what actually determines whether AI moves the number. Automation volume isn't the goal, pipeline acceleration is. A sales team generating twice the email volume at the same conversion rate hasn't improved its commercial position. A sales team that's cut its average sales cycle by three weeks has. The sales divide is already here, and it's widening. Top-performing reps are 1.7 times more likely to use AI prospecting tools than underperformers, and that gap grows every quarter, compressing the window slower competitors have to catch up. Who This Matters To Sales leaders and VPs of Sales: This is a board-ready framework for talking about AI as a revenue strategy rather than an IT initiative, along with the specific metrics, response time, sales cycle length, revenue per selling hour that actually prove ROI. RevOps and sales enablement: The distinction between AI workflows that compress pipeline and ones that just generate more activity without moving conversion. Founders and revenue-focused executives: A clear look at why response speed is becoming a durable competitive moat, and why the gap between AI-adopting and non-adopting sales orgs is widening rather than closing. Individual reps and account executives: A practical picture of how the job is changing, less time managing systems, more time managing relationships and reading the room. Connect with Brett LinkedIn: linkedin.com/in/brettjansen YouTube Channel: youtube.com/@buildwithbrettjansen Website: creseraai.com

2. 

   7 Oct 2026

   EP19: Why 90% of RevOps Teams Aren't Seeing ROI From AI

   Your CRO walks into the Monday pipeline review. The forecast says $4.2 million for the quarter. But three "likely to close" deals haven't had activity in 23 days. Two "healthy" accounts have declining product usage. And the rep who owns your largest opportunity just gave notice. Every one of those signals was sitting in the data the whole time, none of them surfaced in time to act. In this episode, Brett Jansen breaks down why RevOps is becoming the strategic engine connecting sales, marketing, customer success, and finance and why so few organizations are actually seeing ROI from the AI they're deploying on top of it. Key Takeaways RevOps has changed jobs. It's no longer CRM admin or pipeline reporting, it's the connective tissue linking sales, marketing, customer success, and finance around one revenue goal. AI has shifted RevOps from steward of process and data to governor of intelligent systems. Adoption is high, impact isn't. 75% of high-growth companies will run a RevOps model in 2026, and 96% of revenue leaders expect their teams to use AI tools. But fewer than 10% of RevOps organizations are seeing measurable ROI from it. Five AI applications are driving real results. Conversation intelligence (Gong, Chorus) for deal risk and coaching, AI forecasting (Clari, Forecastio) for pipeline accuracy, CRM data enrichment (Clay, People.ai) for clean records, agentic pipeline management for autonomous monitoring, and intent data platforms (6sense, Demandbase) for prioritizing outreach. Clean data is the unlock. Organizations with clean data foundations report 40% higher sales efficiency and 22% less deal slippage. At one company in the research, 80% of renewal opportunities had to be manually cleaned before any analytics were even possible. Who This Matters To RevOps leaders: The data says fix your foundation before adding another tool, the ROI is in the boring work, not the next platform. Sales and GTM executives: Ownership and accountability, not more tools, is usually the reason AI hasn't moved the needle yet. CROs and revenue leaders: The signals you need are already in your CRM, the question is whether your systems surface them in time to act. Teams building RevOps from scratch: Nearly 40% of RevOps teams were established in just the past two years, so the sequence of data, process, ownership, then AI matters more than speed. Connect with Brett LinkedIn: linkedin.com/in/brettjansen BUILD Community: build.brettjansen.ai Website: brettjansen.ai Podcast: brettjansen.ai/prompting-revenue

3. 

   23 Sept 2026

   EP18: Agentic AI And The Future Of Companies

   Most of us think of AI as an assistant, you ask, it answers, and then it waits for the next prompt. Agentic AI is a different category entirely: instead of waiting to be asked, it takes a goal and figures out the steps to get there on its own, planning, deciding, using tools, and coordinating across systems until the job is done. In this episode, Brett Jansen breaks down what actually changes when AI stops assisting work and starts operating workflows and why the technology is moving faster than the governance structures built to manage it. Key Takeaways Agentic AI is an operator, not just an assistant. It plans, acts, and completes multi-step tasks independently coordinating across tools and systems, adapting based on outputs (not just inputs), and carrying persistent memory across sessions. Adoption is accelerating fast. In Q1 2026, 80% of enterprise applications shipped or updated already embedded at least one AI agent up from 33% in 2024. Gartner and Digital Applied project 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from under 5% in 2025. Governance is the real bottleneck, not the technology. 72% of enterprises now have agentic AI in production, but 60% have no formal governance framework to manage it. Only 33% of organizations have reached McKinsey's level-three AI Trust Maturity or higher. The risk is concrete. Gartner estimates over 40% of agentic AI projects are at risk of cancellation by 2027 if organizations don't establish governance, observability, and ROI clarity. The ROI is already showing up. FifthRow and McKinsey found a median ROI of 171% globally (192% for US enterprises) among organizations deploying agentic AI at production scale, with payback in 7–9 months and top-quartile deployments exceeding 540% ROI within 18 months. Who This Matters To Executives and strategic planners: 72% of enterprises already have agentic AI in production, but 60% have no formal governance framework to manage it, meaning oversight, not capability, is the current competitive risk. Finance leaders: Global enterprise AI agent spend is projected to reach $1.4 trillion by 2027, and median ROI on production deployments is already 171% globally. This is a budgeting conversation now, not a future one. Operations and technology leaders: Agentic systems coordinate across tools and adapt based on outputs, not just inputs, changing what needs to be built, monitored, and escalated when something goes wrong. Founders and leaders at small or mid-market companies: Turnkey agentic solutions are letting smaller organizations build AI-native operations from scratch, while larger enterprises are stuck retrofitting agents into legacy systems, a starting-position advantage worth acting on early. Connect with Brett LinkedIn: linkedin.com/in/brettjansen BUILD Community: build.brettjansen.ai Website: brettjansen.ai Podcast: brettjansen.ai/prompting-revenue

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Apple Podcasts (US)

5.0 / 5

3 ratings

Spotify

5.0 / 5

2 ratings

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