Welcome to Deployed w/ Denis Rhomays & Ivo Schipper, hosted by entrepreneur, founder, and content creator Denis Rhomays. On this podcast you’ll hear what's happening in the AI Space, how to build profitable SaaS solutions, and the many failures and lessons Denis & Ivo have learned on their path from building Nedzo AI from $0 to $100M in enterprise value.
Two co-founders. Opposite minds. One mission.
Denis Rhomays has spent over a decade in customer communications, from running a call center to building a multi six-figure marketing agency to now leading a software company that's processed over 20 million AI-powered conversations. His thinking is customer-first, operator-aware, and usually 6 to 12 months ahead of the market.
Ivo Schipper comes from cybersecurity and enterprise IT. Analytical, execution-focused, and grounded in what's actually buildable today.
Together they co-founded Nedzo AI, and every week on Deployed, they bring that tension to the table. What AI means for businesses, how it actually impacts the operator, the user, and the end customer, and what it's really costing them to build Nedzo into a $100M company.
Raw takes. Real decisions. The "behind the scenes" nobody talks about.
Tune in and enjoy.
Deployed: Prompt Engineering Still Matters? | Ep 9
Denis Rhomays and Ivo Schipper discuss why prompt engineering still matters when building conversational AI agents, especially when quality, tone, and conversion performance matter.They use a real client example to compare a first-pass, LLM-generated prompt with a carefully customized one, showing how prompt design can significantly change an agent’s behavior.
Chapters:
00:00 - Introduction
00:37 - Why the ‘Prompt engineering still matters’ in 2026
02:26 - Optimizing AI Agents
05:42 - Experience vs. Prompt Engineering
09:00 - Conclusion
Connect with us: www.linkedin.com/company/nedzo-ai (http://www.linkedin.com/company/nedzo-ai)
5 Oct 2026
Deployed: The AI Implementation Trap | Ep 8
This episode breaks down a real AI deployment that went off track and turns it into a practical warning for anyone selling or implementing AI agents. Denis Rhomays and Ivo Schipper explain why projects fail when expectations are vague, integrations are messy, and too many stakeholders get a vote.They also discussed a bigger question: when does it actually make sense for a small or mid-sized business to adopt AI at all, and when is the process too chaotic to automate?
Chapters:
00:00 - Introduction
01:00 - The AI Implementation Trap
01:40 - Why Most AI Deployments Fail
08:54 - Why Too Many People In a Conversation Can Break The Flow
16:28 - Why Most Small Businesses Shouldn’t Get AI Implemented
21:57 - The Technical Founder Trap
28:25 - Final Takeaway: If you are building, you don’t have to perfect it.
Connect with us: https://www.linkedin.com/company/nedzo-ai/ (https://www.linkedin.com/company/nedzo-ai/)
26 Aug 2026
Deployed: The Culture & Process Behind AI in CX | Ep 7
“If your process is broken, if your systems don’t communicate with each other, if the knowledge inside your organization is not organized, don’t even try.” - Ladislau Batalha
This episode explores how customer experience changes across regions, why culture still matters even in a globalized world, and why AI succeeds only when it is built on solid processes. Ladislau Batalha shares lessons from 25 years across telecom, banking, retail, and fintech, with Denis Rhomays and Ivo Schipper connecting those ideas to conversational AI, automation, and outcome-based support.
Chapters
00:00 - Introduction
01:41 - How Culture Shapes Customer Experience
10:20 - Why Customers Care About Outcomes
14:46 - Measuring Empathy, Effort & Resolution
16:37 - When KPIs Drive the Wrong Behavior
18:59 - AI Amplifies Broken Processes
24:48 - The Challenge of One Journey View
30:15 - AI, Research & the Loss of Human Rationale
31:34 - What Empathy Means in the AI Era
36:44 - Training AI on Broken Knowledge
38:53 - Using AI to Capture Process Knowledge
46:15 - Why Regulated Industries Need AI Discipline
51:43 - What to Fix Before Implementing AI
54:08 - Why Broken Automation Destroys Trust
55:39 - Final Advice: Start With What Works
Connect with Ladislau:
https://www.linkedin.com/in/ladislau-batalha-812218/ (https://www.linkedin.com/in/ladislau-batalha-812218/)
16 Aug 2026
Deployed: The Myths of AI in Customer Centricity | Ep 6
In this episode, Horst Remes shares why great service can’t depend on heroic employees fixing broken systems, and how AI can either make companies more generic or help them create experiences customers genuinely remember.
His biggest takeaway: don’t start with the most frequent customer interactions. Start with the moments that carry the most emotion — complaints, mistakes, uncertainty, and the need for peace of mind.
Chapters
00:00 — Meet Horst Remes
02:53 — The biggest myth in customer centricity
06:58 — Why broken complaint processes lose trust
09:46 — Why one-size-fits-all frameworks fall short
13:56 — When incentives break the customer experience
17:22 — AI as the great equalizer
20:32 — Why technology alone doesn’t improve service
23:15 — Measuring the business value of customer experience
26:50 — The data problem behind AI adoption
29:37 — Can AI memory feel more human?
39:16 — When personalization becomes creepy
41:54 — Where companies should begin with AI
Connect with Horst:
https://www.linkedin.com/in/horstremes/ (https://www.linkedin.com/in/horstremes/)
6 Aug 2026
Deployed: Why AI Fails in Pharmacies | Ep 5
What if AI could take repetitive work off a pharmacy team’s plate, without sacrificing patient care?
In this episode of Deployed, Joe McKamey shares how he’s approaching AI adoption in an independent pharmacy: start small, test carefully, bring the team along, and use automation to create more time for the work people do best.
Key insight: The strongest AI implementations aren’t about replacing people—they’re about reducing friction, improving consistency, and giving teams more capacity to serve customers well.
Chapters
00:00 — Meet Joe McKamey
01:08 — Why healthcare data makes AI more complex
03:36 — Innovation as a driver of patient care
06:15 — Measuring ROI beyond the dollar
09:40 — Improving and measuring patient experience
12:36 — Managing employee concerns around AI
16:21 — A phased approach to implementation
18:59 — The “magic wand” vision for pharmacy automation
22:00 — Setting realistic expectations for AI
24:18 — Data access, legacy systems, and innovation
27:27 — Pharmacist with a business vs. businessperson with a pharmacy
31:56 — Joe’s advice: Don’t fear AI, start small and learn.
Connect with Joe McKamey:
www.linkedin.com/in/joe-mckamey-40250018 (http://www.linkedin.com/in/joe-mckamey-40250018)
Business:
www.marcromspharmacy.com (http://www.marcromspharmacy.com)
16 Jul 2026
Deployed: Founder Tips | Ep 4
In this episode, Denis Rhomays and Ivo Schipper, discuss how they hire, build teams, and manage their time as founders scaling an AI company.
The conversation covers what to test for in AI-era hires, how to spot real expertise vs. surface-level AI fluency, balancing product and sales as a founder, and lessons learned the hard way, including a security breach that reshaped how they operate.
Chapters:
00:00 Introduction to Deployed
00:25 Hiring in an AI-first world
09:27 Traits that predict sales success
12:29 Resource debt and how to avoid it
14:44 Founder Focus: Product, Sales, Team
16:11 Maker vs. manager
21:47 Evolving security practices
25:02 Watching Nedzo adoption grow
Listen to more from Deployed: Podcast Playlist (https://youtube.com/playlist?list=PLtG_FYjaPLh89PJ2CnZCn5AR40k8DZ1tT&si=yjuUCtsRjAqQjOQi)
Learn more about Nedzo: nedzo.ai (http://nedzo.ai)
5 Jul 2026
Deployed: The Launch of Ned AI | Ep 3
The conversation covers the evolution of Nedzo's AI agent, challenges in the physical economy, the importance of customer experience, the outcome-based pricing model, technical improvements of Ned AI, and the decision to seek outside investment.
Takeaways
Evolution of Nedzo's AI agent
Challenges in the physical economy
Chapters
00:00 Introduction to DePlot
06:02 Importance of Customer Experience
16:02 Outcome-Based Pricing Model
21:10 Technical Improvements of Ned AI
26:19 Seeking Outside Investment
5 Jun 2026
Deployed: AI Models & Real Costs | Ep 2
This episode covers recent AI model updates, their implications for businesses, and strategic considerations for deploying conversational AI. Hosts Denis Rhomays and Ivo Schipper share insights on model efficiency, cost management, and the importance of implementation over technology choice.
Key Topics
AI model updates and efficiency improvements
Cost management in AI deployment
Strategic considerations for conversational AI
Impact of AI ecosystem and ecosystem lock-in
Chapters
00:19 Introduction to AI in Business
01:34 Updates on AI Models: Anthropic's Opus 4.8
05:26 Practical Applications of AI in Development
08:50 Exploring AI Design Tools
11:11 The Importance of Workflow in AI Tools
13:32 The Competitive Landscape of AI Models
17:09 Cost Considerations in Conversational AI
21:58 The Role of Implementation in AI Success
26:50 Deployment Strategies for Voice AI Agents
32:26 The Future of AI and Human Collaboration
25 May 2026
Deployed: The Big Pivot | Ep 1
The first episode of Deployed covers the journey of Nedzo AI, including a significant pivot, product evolution, and the challenges of bootstrapping a software company.
The hosts discuss their partnership, decision-making process, and the impact of long-term vision on their business strategy. Additionally, they touch on the topic of AI model providers and their pricing strategies.
Takeaways
Pivoting and evolving a business requires strategic decision-making based on data and long-term vision.
Bootstrapping a software company involves making decisions with a focus on customer support, success, and product experimentation.
Partnerships in business require complementary skill sets, ethical alignment, and a shared long-term vision.
AI model providers' pricing strategies can impact developer usage and platform adoption, influencing the overall market dynamics.
Chapters
00:00 AI Model Providers and Pricing Strategies
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