Matt Serna: The End of Manual CRM Updates | Ep 1273

Summary

Podcast Summary: Matt Cerna - The End of Manual CRM Updates | The Digital Executive, Ep 1273

Date: June 25, 2026
Host: Brian (Coruzant Technologies)
Guest: Matt Cerna, Head of Go-to-Market at Lightfield

---

Episode Overview

This brisk yet insightful episode centers on the transformation of CRM (Customer Relationship Management) platforms with AI, specifically highlighting the end of manual CRM updates. Matt Cerna discusses his career motivation for joining disruptive AI companies and the structural revolution AI-native CRMs like Lightfield are bringing to sales and customer engagement. The conversation also delves into challenges with legacy CRMs, why simply adding AI "features" falls short, and offers a vision for the future of go-to-market teams as AI shifts the boundary between human and machine work.

---

Key Discussion Points & Insights

1. Career Motivation: Seeking Energy Through Big Swings

[02:28]

• Matt Cerna shares his guiding career philosophy: gravitating towards "big markets that are ready to be disrupted," where AI can "improve the lives" of many if the mission succeeds.
• Previous roles at Notable (AI-driven healthcare automation) and Replicant (AI for customer service) gave him a first-hand view into replacing complex manual workflows with AI.
• At Lightfield, the draw is the ambition: "to do in the AI world what Salesforce did for the cloud world."
  Quote:

"Taking massive swings in big markets that are ready to be disrupted... that's what gives me energy."
— Matt Cerna [02:28]

---

2. The Problem with Manual CRMs and Data Quality

[04:32]

• Traditional CRMs were designed for management and finance—not for salespeople—resulting in incomplete, outdated, or missing data.
• Without incentive for regular input from sellers, "you end up with a lot of incomplete, old, or stale data."
• AI has huge potential to automate and optimize sales, but only if it's given clean, comprehensive data—the opposite of most legacy CRMs.
• The resulting data quality gap is "absolutely massive."
  Quote:

"The agents are smart enough to go perform almost any go-to-market task... But it can only do that if it's given the right context and the right data, which you just don't have with a pre-agentic CRM."
— Matt Cerna [05:11]

---

3. AI as a Core System, Not a Feature

[06:38]

• Most “AI CRMs” are merely AI features bolted onto broken foundations; if the database is empty, the AI can’t generate real value.
• Lightfield’s breakthrough is building AI into the DNA of the CRM, so the system itself captures, organizes, and maintains records automatically.
• The sales approach is “show, not tell”—offering prospects a hands-on sandbox of Lightfield that can be up and running within 30 minutes via AI-powered migration from legacy systems.
• This experiential approach counters skepticism among buyers who’ve been “burned by an AI feature that didn’t deliver."
  Quote:

"When you try and add an AI feature to an old system, you run into many of the problems... The entire system of record has to change in order to realize the benefits of AI."
— Matt Cerna [06:38]

---

4. The Future of CRM: Agents Take the Lead

[08:53]

• The next five years are unpredictable, but Matt sees rapid disruption: companies leveraging AI scale faster, and “every business is up for grabs.”
• He estimates “over 70%” of a salesperson’s daily tasks can already be automated—“researching, prospecting, summarizing, updating records, following up, drafting proposals, drafting RFPs—these are all things that agents can do better than humans instantly."
• Businesses slow to adopt agentic AI will lose out to those who do: "the majority of work done that is customer-facing... will be done by agents, not humans."
• Companies figuring this out now have a “decisive competitive advantage.”
  Quote:

"It's much easier to scale agents than to go and hire the people that you need to grow your business."
— Matt Cerna [09:36]

Quote:

"Their competitors are either going to have to figure it out themselves or are going to go out of business because the advantages to operating your business in such a way are just so dramatic."
— Matt Cerna [10:40]

---

Notable Quotes

• On Career Philosophy:

  "Taking massive swings in big markets that are ready to be disrupted... that's what gives me energy."
  — Matt Cerna [02:28]

• On AI CRM Foundation:

  "When you try and add an AI feature to an old system, you run into many of the problems... The entire system of record has to change in order to realize the benefits of AI."
  — Matt Cerna [06:38]

• On Automation Potential:

  "Over 70% of [sales tasks] are tasks that can be completed by AI... researching, prospecting, summarizing, updating records, following up, drafting proposals, drafting RFPs..."
  — Matt Cerna [09:25]

• On Competitive Advantage:

  "Companies have a decisive competitive advantage... their competitors are either going to have to figure it out themselves or are going to go out of business."
  — Matt Cerna [10:40]

---

Timestamps for Key Segments

• 02:00 — Matt's introduction and career journey into transformative AI companies
• 04:32 — Deep dive on CRM data quality issues
• 06:38 — “AI feature” vs. core AI-native system: why foundation matters
• 07:54 — Demo-driven sales and rapid migration with AI-powered onboarding
• 08:53 — The future of CRM: automation, agentic systems, and disruptive potential
• 09:25 — Breakdown of sales tasks ripe for AI automation
• 10:40 — Urgency for businesses to adapt to AI or risk obsolescence

---

Memorable Moments

• The “show, not tell” sales strategy makes the AI-native CRM’s superiority instantly tangible for customers.
• The estimate that 70% of a salesperson’s day could be automated by AI, with a warning that slow adopters risk irrelevance.
• Matt’s passionate rationale for joining disruptive companies, citing energy and real-world impact.

---

Episode Tone

Direct, energetic, and pragmatic. Matt speaks with the optimism of an innovator but grounds his perspective with hard business realities, while Brian guides the conversation with thoughtful, informed prompts.

---

Summary

This episode of The Digital Executive offers a crisp primer on why legacy CRM systems are holding businesses back in the AI era, and why building AI into the core of these platforms—rather than patching it on top—will change the competitive landscape. Matt Cerna delivers insider insight on both technical and practical fronts: outlining the scope of the data problem, the future facing go-to-market teams, and issuing a call to action for companies to embrace the “agentic” revolution or risk falling behind.

Transcript

[Matt Cerna]

Where is Daredevil a minor?

[Brian]

Don't miss the return of Marvel Television's Daredevil Born Again. So what's next? I feel liberated.

[Matt Cerna]

We're gonna take this city back over

[Brian]

medicated in an all new season.

[Matt Cerna]

Now streaming only on Disney.

[Brian]

They're hunting us. It's time we started hunting them.

[Matt Cerna]

I can work with them.

[Brian]

This should be tons of fun.

[Matt Cerna]

Marvel Television's Daredevil Born Again now streaming only on Disney Study and play come

[C]

together on a Windows 11 PC and for a limited time, college students get

[Matt Cerna]

the best of both worlds.

[C]

Get the Unreal College deal. Everything you need to study and play with select Windows 11 PCs. Eligible students get a year of Microsoft 365 Premium and a year of Xbox Game. Pass ultimate with a custom color Xbox wireless controller. Learn [e-mail] studentoffer while supplies last ends June 30 terms@ aka mscollegepc foreign.

[Brian]

Welcome to Coruscant Technologies, home of the Digital Executive Podcast. Do you work in emerging tech? Working on something innovative? Maybe an entrepreneur? Apply to be a guest at www.corazon.com brand welcome to the Digital Executive. Today's guest is Matt Cerna. Matt Cerna is head of Go to Market at Lightfield, the fastest growing AI native CRM. At Lightfield, he focuses on working with startups to deploy agents that help acquire, engage and retain new customers. Prior to Lightfield, he served as Chief Marketing Officer at Replicant, a market leader in AI customer service, and at Notable, a healthcare AI company that automates millions of back office workflows for healthcare providers. Matt works with transformative category defining AI companies to accelerate their growth. Well, good afternoon Matt. Welcome to the show.

[Matt Cerna]

Happy to be here.

[Brian]

Awesome Matt, thank you so much. I appreciate it. Traversing Globes the globe today a little bit just from San Francisco to Kansas City. Not a big deal, but I appreciate you making the time. And Matt, if you don't mind jumping into your first question here, you've built a career going from Mulesoft to Notable to Replicant and now Light Field. Each a category defining AI company at an earlier and earlier stage. What draws you to these inflection point companies and what made Light Field the right next chapter?

[Matt Cerna]

It's a great place to start. Brian. At the end of the day as I reflect back on my career and how I decide the companies and the people I want to work with, ultimately I look at what's going to give me the most energy and what's going to help me do the best work I can and really that's that comes down to taking massive swings in big markets that are ready to be disrupted where there's a lot of people whose lives can be improved if we can be successful in our mission. That's what gives me energy. And so reflecting back on on those companies notable we were taking on all of the manual paper filled, fax filled back office healthcare workflows and replacing that with AI to make healthcare more accessible and affordable for folks to replicant where we were helping a lot of large consumer brands replace old school customer service where you wait on hold for 20 minutes to talk to somebody to with AI agents where you can instantly have your question or inquiry resolved to to Lightfield, which is the category leading agentic CRM which is poised to do in the AI world what Salesforce did for for the cloud world. And that's what I'm so excited to talk about today.

[Brian]

That's awesome. Really appreciate that. And I liked the really your your career philosophy philosophy when you jumped into this. You made that statement what's going to give you the most energy, right? And you tackle those problems that were notable and meaningful and truly making the world a better place which obviously fulfills you. And of course now working at Lightfield, which is awesome that as you mentioned that category leading agentic AI system and I know you guys built that from the ground up so that's awesome and we'll get right into that. Matt, your traditional CRMs were essentially built on the assumption that humans would manually log everything. Lightfield's premise is that AI should automatically capture every customer interaction from calls, emails, meetings, messages and structure them into a living system of record without anyone touching a field. How big is the data quality problem in legacy CRMs and how much revenue is left on the table because of it?

[Matt Cerna]

Oh, it's absolutely massive. And if you think back about the real purpose of the CRM pre AI it was used more as a tool to understand and manage the business for management layers and finance to forecast how a business is growing. But it didn't really do anything for the people that are actually selling the product and without any incentive as the person selling the product, talking to customers to go and engage with the system, you end up with a lot of incomplete old or stale data. And in a world where AI agents are so powerful and the models get better every single day, it's become a real missed opportunity. Because what we've seen is that conceptually, theoretically the agents are smart enough to go perform almost any go to market task from researching accounts, writing follow up emails, managing your pipeline for you. But it can only do that if it's given the right context and the right data, which you just don't have with a pre agentic CRM. And that's really the problem that we've invested in solving a light field.

[Brian]

Amazing. Really appreciate that. And you're absolutely right. I don't know how many CRMs have come and gone but. And there's some big ones and everybody's trying to get that market share. But the pre AI CRMs definitely just where there is a knowledge base for many of the departments except for those in sales. Right. So I like how agentic AI is very powerful and it's able to do a lot of the tasks and tie different tables, databases or companies together to be able to fully serve the person that is serving the customer at the time. So thank you, Matt. You've made the case that most AI CRMs are just a layer on top of a broken foundation and that if the underlying database is empty because humans never entered the data, the AI has nothing to work with. How do you explain that structural difference to a skeptical buyer who's already been burned by an AI feature that didn't deliver? And what's the moment in a demo where it really clicks?

[Matt Cerna]

That's a great question. Where I would say it actually it's. I think the phrase you use AI feature actually explains everything. What we have found is that when you try and add an AI feature to an old system, you run into many of the problems I talked about where you have the AI reasoning off of incomplete context or structure or missing data. And this is why we really believe that the, the entire system of record that you use to. To. To manage your business has to change in order to realize the benefits of AI. In terms of how I explain the difference, I'm actually a believer of show, not tell. And recently one thing we've been doing is we actually set up an environment for the people we're talking to to experience the power of light field prior to ever entering into a financial engagement with us. Agents are so powerful now that they actually very quickly set up an environment and move data over from a legacy CRM. And that's really given, you know, transformed our go to market so that it's. I'm not in the business trying to convince people why we're a better product. I'm in the business of giving people our products to touch and feel and play with, to see that difference and experience it directly for themselves.

[Brian]

That's awesome. And I was reading about your migrations from existing platforms into Light Field. And it is amazing you talked about that just now with that the power of AI and what it can do and how fast it can migrate and it's just really, you're telling the Customer, hey, in 30 minutes, maybe a little more, you'll be working right in your new CRM. And I think that's amazing. And you're right about this AI feature. We've been talking about this now for three years at least. It's a buzzword and it might sound sexy, but many times AI is just bolted onto an existing system and in Lightfield's case, completely different. And I really appreciate your thoughts on that. And Matt, as we look ahead to the future, right, as AI matures and the boundary between human and machine action and sales continues to learned, where do you see the CRM category in 5 years? And what does the winning AI native platform need to get right today to define what that future really looks like?

[Matt Cerna]

Well, I think five years is probably a longer time horizon than that I can forecast. If you think back to five years from now, 2021, the world was a very different place and I'm sure the world will be a very different place five years from now. What I can say is I don't think in the five year time horizon. I think it right now every, every business is up for grabs and the companies that are able to leverage AI to scale are going to outcompete those that are not. I believe it's the single most important thing that a company can invest in. And the reason why is because the. If you actually break down, you asked about boundaries in human and machine, if you break down the actual tasks that a sales professional engages in in their day to day, I would venture to guess that over 70% of them are tasks that can be completed by AI. Researching, prospecting, summarizing, updating records, following up, drafting proposals, drafting RFPs. These are all things that agents can do better than humans instantly. And the businesses that realize this are going to be able to scale much more quickly because it's much easier to scale agents than to go and hire the people that you need to grow your business. And so I believe that we are very quickly moving towards a world where the way in which companies go to market changes, where the majority of work done that is customer facing in a company will be done by agents, not humans. The reason I believe this is because there are already companies figuring this out, Brian. I work with them every single day and these companies have a decisive competitive advantage over people who have not figured this out yet their competitors are either going to have to figure it out themselves or are going to go out of business because the advantages to operating your business in such a way are just so dramatic.

[Brian]

Amazing thank you and I would agree with you there Matt you said five years probably too long to make any accurate predictions at this point the way AI is completely just flipping things upside down overnight I like the stat used up to 70% of day to day tasks by salespeople absolutely can be automated I can see that today and it's only going to get better in the future obviously easier to scale agents versus traditional processes or teams and right now's the time and if you're just now thinking about AI I think you'll probably already be behind the eight ball so I appreciate your insights and Matt it was such a pleasure having you on today and I look forward to speaking with you real soon.

[Matt Cerna]

That's awesome thanks Brian bye for.