Podcast Summary
Episode Overview
Podcast: Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
Episode: 91 – Using AI at Work to Create an Unfair Competitive Advantage with Jason Eubanks
Date: February 15, 2026
Host: Chris Daigle
Guest: Jason Eubanks, CEO and Co-founder of Oracel
In this episode, Chris Daigle speaks with Jason Eubanks about how businesses can move beyond incremental adoption of AI tools and embrace AI-native intelligent automation across go-to-market operations to create true, lasting competitive advantages. Eubanks shares practical examples, product innovations, and transformation stories to encourage business leaders to leave behind legacy mindsets and adopt AI in ways that fundamentally improve productivity, efficiency, and operational excellence.
Key Discussion Points and Insights
1. Moving Beyond Incremental AI Adoption
- [02:35] Jason's primary message: Leaders must "challenge themselves to think beyond an incremental approach, beyond a wrapper interface when they consider how to use AI at work."
- Current mindset focuses too much on adding chat-based interfaces to existing systems, rather than leveraging deeper, integrated automation possible with AI-native solutions.
- The real power of AI isn't just Q&A or chatbots—it’s in automating execution and operational processes at their core.
"Just take, throw away that scared incremental approach of putting chat wrappers on this and that...get past that. We’re past that. Technology is ready. Jump in with both feet."
— Jason Eubanks [03:26]
2. The Productivity Potential and Urgency
- [06:44] "You can unlock at least a 2x productivity gain with this capability. With AI-native intelligent automation powering true execution, not just serving up insights," says Jason.
- First movers ("full power of AI-native capabilities") will gain exponential advantages over incremental adopters, especially as technology keeps advancing.
- Traditional productivity model in B2B sales is unsustainable (80% of revenue from top 25% of sellers). Intelligent automation can bring bottom performers up, increasing overall output and reducing costs.
"Those who unlock that opportunity for a 2–3x gain in productivity first will have a tremendous advantage."
— Jason Eubanks [07:05]
- Customer Story: A large, established technology company is piloting an "all-in" AI-native sales approach with 150 of 2,000 sellers, benchmarking productivity and efficiency in a "start-up within a company" model [11:52].
3. Oracel Product Innovations: Simplifying Go-To-Market Tech Stacks
a) Decoupling AI-native Automation from CRM
- Oracel is launching a "go-to-market operating system" that overlays AI-native intelligent automation on top of legacy CRMs like Salesforce and HubSpot [15:08].
- This brings the benefits of AI-native platforms to enterprises unwilling or unable to completely rebuild their system architecture.
- Eliminates 14-20 additional tool integrations, bringing data and workflows into a single unified platform.
b) Agent Builder—Natural Language, Agentic Workflows
- Oracel introduces an agent builder:
- Users can create entire workflows and AI agents with simple natural language prompts—no code, no complex setup.
- Example: With a single sentence, a user can trigger a workflow to analyze user data, recommend features, create and send personalized outreach, and even generate training materials—all automatically [28:46–33:15].
- Agents can autonomously integrate new data sources, write connectors, and iteratively act without user intervention.
"We demoed: With two lines of natural language—'Hey Oracel, tell me which users are my top three, how do they use the product, recommend something additional, and send training.' The agent dynamically pulled in data, sent sequences, grabbed videos, and wrote new connectors—all zero user interaction."
— Jason Eubanks [31:57]
c) Removing Manual Toil and Onboarding Time
- Oracel’s approach removes the need for humans to “copy and paste,” freeing them to focus on high-value, human-centric tasks [21:39].
- Onboarding Impact: Customers average a 50% reduction in onboarding time for go-to-market teams. Jason notes that new SDRs are productive by day three versus industry norms of three to four weeks [22:45–23:20].
"Our customers on average are cutting their onboarding time by 50%. Our SDRs are booking meetings and productive on their third day."
— Jason Eubanks [22:45, 23:13]
- Increased Productivity: With fewer platforms and unified data, sellers spend less time in busy work (manual updates, data entry) and more time engaging prospects.
- Typical B2B seller spends only 24-30% of their time on selling activities. Oracel aims to free up nearly all their work hours for productive sales [26:48].
4. Emotional and Cultural Benefits
- Automation of administrative sales tasks removes friction for both sellers and managers, reducing attrition and emotional drag across sales and customer teams [27:39].
- Reduces manager and executive “chasing” of teams to update systems and follow up.
5. Real-World Examples of Agentic AI at Work
- Agent Example 1: Dynamic identification and nurturing of power users with personalized training (described above).
- Agent Example 2: In RevOps, a single prompt—“design a sales stage process and recommend sales frameworks for my company”—produces a tailored, executable sales architecture, with live configuration into the platform, bypassing lengthy manual setup [34:59–37:22].
"A Rev Ops person can say 'Design a sales stage process...'—we run the research, show visuals, and if you say go, Oracel builds and configures it for you. That's it."
— Jason Eubanks [36:24]
- Continuous, autonomous agent follow-up: Agents automatically respond to prospects, handle scheduling, and only involve humans when necessary, stitching together seamless customer interactions.
6. Accessibility and Adoption for Non-Technical Leaders
- Oracel’s mission is to democratize these advanced AI capabilities so that any business leader, even those less technical, can unlock cutting-edge productivity without needing to understand the infrastructure.
- Live demos and new explainer content are available to help prospective customers see the technology in action [38:09].
"Our technology...delivers kind of this magical moment for all Personas that we serve in their respective workflows, automated in a way that it doesn't require you to think about the infrastructure behind it...It's accessible to everyone."
— Jason Eubanks [41:18]
Notable Quotes and Memorable Moments
-
On urgency and first-mover advantage:
"Those who wait will not be able to catch up. You can't just work harder; the gap will become uncatchable."
— Chris Daigle [12:45] -
On the changed sales paradigm:
"I'm thinking about all the sales books, systems on follow-up—all out the window. Whole different paradigm now—all automated."
— Chris Daigle [25:06] -
On the ripple effect of reducing work friction:
"The ripple effect of toil on productivity and emotional drag goes through the organization like a tidal wave."
— Jason Eubanks [27:39]
Timestamps for Key Segments
- [02:35] – Jason’s core takeaways and mindset shift beyond chat-based AI
- [06:44 – 08:26] – Productivity gains: why now, and the business urgency
- [11:51 – 12:45] – Customer story: Established company pilots AI-native sales team
- [15:08 – 21:29] – Oracel’s product evolution: Overlaying AI-native OS on legacy CRMs
- [21:39 – 26:10] – Elimination of manual work, onboarding improvements, productivity uplift
- [28:46 – 34:11] – Live demo of natural-language agent building; new automation paradigm
- [36:24 – 37:22] – RevOps example: fully automated sales process design by agent
- [38:09 – 41:18] – Accessibility for non-technical users, lowering the intimidation barrier
- [41:07 – 43:10] – Closing thoughts on urgency and democratization of AI-native automation
Where to Learn More
- Jason is most active on LinkedIn: [Link in show notes] [40:18]
- Oracel product demos and explainer videos: Available via [www.oracel.com] (upcoming) and in the show notes [38:25]
- Host’s advice: “Go use AI!” [43:11]
Final Takeaway
Jason Eubanks urges business leaders to abandon incrementalism, embrace AI-native solutions, and leverage intelligent automation to achieve operational leaps that are now possible and soon will be table stakes. The organizations adopting AI at their core now are poised to create an “unfair competitive advantage” that will be unattainable for laggards in the years ahead.
"Assume everybody’s already playing with AI...now is the opportunity to really jump in...this is the moment to create a gap, a really unfair gap."
— Jason Eubanks [41:18]
