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Webinar: How Non-Technical Teams Can Use Agentic AI to Close the Decision Gap

Host: Andy Karuza (NachoNacho)

Guest: Isaac Sarfo (Co-founder & CEO, Papermap)

Introductions

Andy Karuza: Good afternoon, everybody, and welcome to another Nacho Tuesday. I have Isaac here today with Papermap. Without further ado, Isaac, we would love for you to introduce yourself and your company and tell us what you guys do over there.

Isaac Sarfo: Hey, Andy. Thanks for having me; it's a pleasure to be here. My name is Isaac, and I'm one of the co-founders and the CEO at Papermap. We are building a new kind of AI-native data platform purpose-built for business users to query structured data deterministically.

How we differ from existing solutions is that we help users solve technical decisions where existing solutions expect them to hire technical people to solve. We abstract away the complex elements like building pipelines, data engineering, and cleaning data. All our business users have to do is query it using natural language.

Andy Karuza: Very interesting. When did you start the company?

Isaac Sarfo: We started around mid-2025. The origin story is actually quite funny; it was born out of the frustration of my co-founder and CTO. He was constantly getting requests from the marketing team to write SQL queries just so they could see what was happening with users.

We initially built an inventory management platform layered with AI, but we realized the analytics side was a much bigger opportunity. Eventually, we decided to build this AI-native data platform. The inventory platform was just one of the pipelines a business needs for holistic analytics. Today, we sit a step above that, bringing in data across various sources so users can query their data holistically.

Andy Karuza: I can certainly resonate with that as a marketing person who has to ask the technical team for data all the time. It sounds like your platform might alleviate some of those requests so I don't have to annoy them!

Understanding Agentic AI

Andy Karuza: For those who haven't heard the term, can you explain what Agentic AI is and how companies can better utilize it?

Isaac Sarfo: Currently, the market is split into two extremes. On one end, you have consumer AI, like ChatGPT or Grok. On the other end, you have enterprise data platforms like Databricks or Snowflake that help large enterprises leverage internal data.

In the middle, there are growth-stage businesses that have outgrown Excel sheets but struggle to leverage AI. If these businesses don't execute on an Agentic AI strategy, their employees often end up throwing proprietary data into ChatGPT anyway, which is a security risk.

We built a solution for growth-stage businesses to leverage Agentic AI on their proprietary data securely. Our platform is SOC 2 and HIPAA compliant. We use enterprise APIs, so your data is never used for training. This allows businesses to achieve "data at the speed of business." Instead of spending days wrangling Excel sheets, you make decisions the moment the data comes in.

Closing the "Decision Gap"

Andy Karuza: Do you think this "decision gap" affects different teams disproportionately?

Isaac Sarfo: The decision gap is the time between a "data event" happening (data hitting your backend) and the business actually acting on it.

This disproportionately affects businesses between $10 million and $100 million in revenue. Most modern data tools were not built for them. To use Snowflake or Databricks, you don't just pay for licenses; you have to hire a dedicated data team and buy BI tools like Tableau or PowerBI. Many companies are simply priced out.

With Papermap, an operations manager doesn't need to hire a technical person. They already know the "semantic information"—the context of the business—better than anyone. We’ve built agents that transform natural language into data queries, pull from the right tables, and visualize the results instantly.

Andy Karuza: What are some common use cases you see?

Isaac Sarfo: The most common is the "Excel nightmare," where a team has five different versions of a spreadsheet and no one knows which one is the "source of truth." We provide version-controlled, access-controlled data.

We also see many marketing use cases. For example, we are helping an apparel brand combine ad data across platforms with their sales and inventory data. They can now iterate quickly to see which SKUs are performing best and when they need to restock.

AI and the Future of Data Roles

Andy Karuza: Will Agentic AI tools replace technical roles, or just augment them?

Isaac Sarfo: I don't think they will replace them, especially in data. Statistics show that 80% of the world's data was generated in just the last two years. Data is expected to double every four years. We aren't going to run out of a need for expertise.

However, the role will change. It will look less like a coder and more like a conductor. A data engineer will become a "Data Engineering Manager," orchestrating agents to handle the repetitive work of writing queries. The focus will shift to architecture and solving business problems rather than manual labor.

Advice for Founders

Andy Karuza: Any lessons you would offer to entrepreneurs starting their first company?

Isaac Sarfo: It is vital to talk to customers. We often have a hunch about an opportunity, but you must listen to their daily workflows to see how your solution actually fits.

Also, focus on your Unique Selling Proposition (USP). In a world where you can spin up an MVP overnight, the true "moat" is your ability to connect with customers and solve a specific problem better or more affordably than existing options.

What’s Next for Papermap?

Andy Karuza: What does the next few years look like for you?

Isaac Sarfo: We are drilling down on our growth-stage business audience. We are also very excited about our embedding products. For instance, a Fintech company could embed a Papermap agent so their merchants can not only collect payments but also use that payment data to inform business decisions directly within the app. Eventually, we want to move toward orchestration—where the AI doesn't just report data but automates the follow-up, like emailing a supplier when inventory is low.

Andy Karuza: It sounds like you have a great vision. Where can people learn more?

Isaac Sarfo: You can visit papermap.ai or find us on LinkedIn and X. We are also hosting a live demo this Friday at 2 PM.

Andy Karuza: Awesome. Reach out to Isaac if you have questions. NachoNacho is a proud partner of Papermap, and you can find them in our B2B SaaS and AI marketplace. Isaac, I look forward to seeing you at our next founder-VC happy hour in New York!