In this episode of The AI Powered Seller, host Jake Dunlap, CEO of Skaled and co-founder of Meet Journey and Rev Optics, takes you inside the daily workflow of a modern AI powered sales professional.

Jake breaks down how today’s top reps are transforming their routines using assistants, agents, and automation to reclaim hours of lost productivity and focus on what really matters: high quality conversations that close deals.

From pre-call research to follow-up emails and social selling, Jake walks through a tactical, play-by-play guide of how AI is changing every step of the sales day. You’ll learn:

• What an AI powered day really looks like and how it differs from the old Google and LinkedIn grind
• How to use tools like RepGPT, Journey, and Outbound Meeting Co-Pilot to prep faster and sell smarter
• Why automations and assistants, not just prompts, are the real edge in modern sales
• The small daily habits that separate traditional sellers from their AI enabled peers

If you’ve ever felt buried under research, logging, and admin work, this episode will show you how to turn those hours into impact.

In a world where every seller is told to “automate everything,” how do you stay authentic? In this episode, host Jake Dunlap sits down with David Abbey, CEO and co-founder of Endless and Penny AI, to explore the future of human connection in a Gen AI-powered sales world.

David was building AI solutions long before it became mainstream—helping sellers and creators strengthen relationships, not replace them. Together, Jake and David dive into what it really means to balance automation and authenticity, where AI adds value (and where it destroys it), and why being “more human” might just be your ultimate competitive advantage in 2025 and beyond.

You’ll learn:

• How AI can surface insights to make your interactions more personal and meaningful
• The red flags of “too much automation” and how to avoid losing your human touch
• Why the future belongs to sellers who master context and creativity
• How influencer marketing and digital avatars are reshaping trust and communication

Whether you’re a rep looking to up your game or a leader rethinking your team’s AI strategy, this episode is packed with real talk, tactical advice, and future-forward insights.

Tune in to learn how to use AI to amplify authenticity—not replace it.

Imagine logging in and your day is already in motion: target accounts analyzed, buyer signals surfaced, follow-ups drafted, and deal risks flagged—while you slept. That’s the reality we dive into as we map the jump from connected workflows to automated insights and, ultimately, an AI-first go-to-market hub where digital teammates handle the grind and you double down on the human edge.

We start by grounding the maturity model: most teams sit in the Wild West or early assistant stages, with scattered tools and no roadmap. Then we show how stage four flips the script. Instead of waiting for prompts, your AI scouts LinkedIn updates from key buyers, ingests annual reports, compares year-over-year changes, and suggests targeted actions with one-click approvals. For managers, we go beyond checkbox scorecards to true deal intelligence: auto-scored calls, focused coaching on executive presence or financial acumen, and Slack nudges that cut through the noise so you can coach where it counts.

From there, we pull back the curtain on stage five: AI as the operating system for revenue. Reps log into the AI hub before the CRM. Overnight, a network of digital teammates researches accounts, composes context-rich outreach, syncs notes, and builds a morning brief. Marketing adjusts campaigns based on live pipeline signals. Leaders stop asking the same 20 questions and start acting on precise recommendations with clear guardrails. We outline how to get unstuck—assign owners, ship small wins weekly, codify what “good” looks like, and train reps and managers to build lightweight agents—so adoption grows from the front lines and compounds.

If you’re ready to trade busywork for real conversations and build a moat your competitors can’t buy off the shelf, this guide lays out the path. Subscribe, share with your team, and leave a review telling us which task you’ll hand off to your first digital teammate.

Most teams say they “use AI,” yet few can prove ROI. We dig into why that gap exists and lay out a practical roadmap any sales org can follow to move from ad hoc prompts to automated, connected workflows that save serious time and lift performance.

We start by reframing generative AI as a foundational shift, not another tool in the stack. Then we map stages 0–3 of AI maturity. Stage zero is AI curious: lots of interest, little action. Stage one is the Wild West: tools without guardrails, inconsistent results, and off-brand outputs. Stage two introduces emerging assistants—specialized AI that handles repeatable jobs like account research, messaging co-pilots, call reviews, and deal strategy. Finally, stage three connects those assistants into end-to-end workflows that trigger on real events: calendar invites that auto-generate dossiers, transcripts that draft proposals, and notes that update the CRM with zero manual effort.

Along the way, we share concrete examples and time-saved math that translate to real headcount efficiency—think sixty-plus hours reclaimed per month on a 20-rep team. You’ll hear how to pick the first bottleneck, standardize use cases, build or adopt assistants, and stitch them together with no-code and low-code tools in weeks, not quarters. We also include a quick checklist to self-assess your current stage and define the next step, whether you’re a frontline seller, a manager, or a VP building the roadmap.

Ready to trade copy-paste chaos for measurable impact? Subscribe, share this with your team, and leave a review to tell us which assistant or workflow you’ll build first. Your feedback helps us shape part two, where we explore the next levels of AI maturity and scale.

Most sales teams don’t have an email problem—they have a relevance problem. Spray-and-pray activity chases quota while buyers tune out anything that doesn’t speak to their world. We bring on Brandon Bornancin, founder and CEO of Seamless AI, to unpack a simple but powerful fix: combine persona, industry, and trend to deliver outreach that earns attention, and use AI to get to version one faster without removing the human touch.

We walk through a practical system you can deploy this week. Start by obsessing over personas: goals, KPIs, constraints, and dream outcomes. Add an industry lens to reflect real differences between SaaS, manufacturing, finance, and healthcare. Layer current trends—labor markets, tech stack shifts, budget cycles—to show you understand what’s changing right now. Then put AI to work: build rich profiles from job postings and public data, enrich accounts with signals like job changes and funding, and generate first-draft emails and call scripts with tight prompts that skip fluff and get to the point. Keep a human in the loop to edit for tone and truth, and use discovery that blends open-ended questions with multiple-choice options to surface priorities quickly.

Brandon shares how Seamless AI helps teams move “data to deals,” automating the invisible work—list building, enrichment, and drafting—so reps can focus on high-value conversations. We dig into why scale doesn’t mean full automation, how to avoid AI’s telltale patterns by swapping models and editing, and the skills that now matter most: curiosity, strategic thinking, and empathy. If you’re tired of 0.02% reply rates and want a playbook for high-quality meetings, this conversation lays out the path: persona-first, industry-aware, trend-informed, and AI-accelerated.

Enjoyed the conversation? Follow, share with a teammate who needs a new outbound playbook, and leave a quick review with your biggest takeaway. Your feedback helps us bring more tactical, high-signal conversations to your feed.

Stop asking AI for answers and start letting it act. We break down how OpenAI’s Agent Kit flips sales from reactive prompts to proactive, multi-step workflows that coordinate CRM, email, calendar, and call intelligence like an orchestra under a single baton. I walk through what launched, why it’s different from traditional automation, and how a visual Agent Builder, Chat Kit for human-in-the-loop feedback, and built-in evals make it practical for frontline reps—not just ops and engineering—to build production-ready agents in minutes.

We get specific with three high-impact use cases you can clone: an inbound orchestrator that checks Salesforce, enriches with public insights, drafts a reply, and summarizes in Slack; a deal health sentry that monitors engagement, multithreading, and silence windows, then escalates with context; and a proposal producer that pulls your last call, maps to your statement-of-work template, asks clarifying questions, and outputs a Google Doc v1. Along the way, I share a story from my early career about finding conversion “quiet pockets” and how the same insight now takes thirty minutes to automate end-to-end.

There are guardrails: keep the human touch for tone and senior outreach, expect occasional connector changes, and invest time upfront to define quality. But the upside is real and immediate—sellers who learn agents can 2–3x output and build compounding advantage. If you’ve ever felt buried in follow-ups, prep, and proposals, this is your way out through orchestration, not hustle theater. Subscribe, share this with your team, and tell me the first workflow you’ll automate. And if you want hands-on help, join our AI certification and leave with working agents and a repeatable playbook.

Most sellers say they “use AI,” but the real question is: is AI actually running your sales workflow? We pull back the curtain on what true AI proficiency looks like, why dabbling won’t keep you competitive, and how to jump from basic prompts to digital teammates that own the work. This isn’t a tool tour—it’s a working blueprint for transforming prospecting, research, coaching, and follow-through so you win more deals with less manual drag.

We map the five levels of AI proficiency, from ad hoc user to multiplier, with crisp examples you can copy today. You’ll hear how a “New Account Research” teammate can scrape signals and context before you even open your CRM, how a pricing-objection specialist can produce competitor-aware responses in seconds, and how manager-trained GPTs can review call transcripts and give targeted coaching using your actual playbook. Then we zoom out and show what happens at the agent level: calendar-triggered prep, Slack clarifications, automated recaps, and draft SOWs that land in your docs without you lifting a finger. The numbers are real—a 47% productivity lift, roughly 12 hours a week back—translating into more selling time, better personalization, and cleaner pipelines.

If you’re at level one, we lay out a fast track to level three: convert your best prompts into assistants, feed them product and persona context, and standardize outputs so quality is consistent. Leaders get a roadmap to become multipliers by setting a GenAI backlog, prioritizing high-impact workflows, and rolling out shared assistants across the team. Hiring is already shifting; candidates who can show live AI workflows will outrun those who “know ChatGPT.”

If this guide helps, subscribe, share it with a teammate, and leave a review so more sellers find it. Want to level up faster? Explore the AI certification for sellers and frontline leaders, and test-drive the MeetJourney assistants tailored for sales teams.

Your champion just went silent. That 90% deal just died — and it wasn't killed by the person you were talking to. It was derailed by stakeholders you never knew existed.

Host Jake Dunlap sits down with Gal Agha, CEO of Aligned, to break down why traditional sales methodologies like MEDPIC are failing in today's complex buying environment. With clients cutting sales cycles by 30% and increasing win rates by 15%, Gal reveals what he calls "buying process as a service."

What You'll Learn:

• Why MEDPIC is built for 1950s buyers, not today's complex stakeholder groups
• How to use AI for scenario planning and competitive intelligence
• The difference between hierarchy and "powerarchy" in modern deals
• Why 95% of buying happens without you — and how to influence it
• Tactical frameworks for accommodating vetted, educated, and self-service buyers

Key Takeaway: The future belongs to sellers who deliver "buying process as a service" — becoming an extension of the buyer's team rather than an obstacle to navigate.

Check out:

• The Innovative Seller: https://a.co/d/cbh8hM3
• JourneyAI: https://meetjourney.ai

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Remember: AI won't replace sellers — sellers who know how to use AI will replace those who don't.