The Automated QC Assistant

Have you ever felt the pressure of catching every single mistake in a stack of documents before they are finalized? Join Eddie Montes Travis and Marylyn Lee Trotter as they explore how technology is changing the way quality control happens in the field by reducing human error.

• Error Detection: Automated software now scans for missing signatures and dates in real-time to prevent the most common mistakes before a file is submitted.
• Speed and Efficiency: Digital assistants significantly reduce the time spent on manual reviews, allowing paperwork to move through the pipeline much faster than traditional methods.
• Compliance Tracking: These specialized tools ensure that every document follows the latest legal requirements and industry standards without needing manual research.
• Data Integration: Modern QC assistants can sync directly with existing management software to keep all records updated and accurate across multiple platforms.

Integrating automation into your workflow helps eliminate the stress of manual checking and ensures a smoother process for everyone involved. Embracing these digital tools is the next step in modernizing your professional toolkit. Please make sure to subscribe and like the podcast.

Show Notes:
• Streamlining the review process with digital tools
• How automation identifies missing initials instantly
• The benefits of real-time error alerts for professionals
• Reducing document rejections through technology


Buy Becoming a Notary on Amazon

Notary Knowledge Reference Guide and Notary Bible on Amazon

Your Sunday Notary Reading:
Notary Public Foundation: Essential Guide to Core Duties, Ethics, and Commissioning on Amazon

Your Monday Notary Reading:
Notary Operational Excellence: Mastering Certificates, Journals, Ink, and Copy Certification on Amazon

Your Tuesday Notary Reading:
Notary Fraud Shield: Real-World Tactics, Red Flags, and Refusal Strategies on Amazon

Your Wednesday Notary Reading:
The Mobile Notary Blueprint: Launching and Managing Your On-Demand Business on Amazon

Your Thursday Notary Reading:
Notary Niche Navigator: Your Guide to Loan Signings, Apostilles, I-9s, and More on Amazon

Your Friday Notary Reading:
Notary Law & Liability: Understanding State Regulations, Insurance, and Avoiding UPL on Amazon

Your Saturday Notary Reading:
The Future Notary: Mastering RON, eNotary, and Complex Scenarios on Amazon

Quick & Easy Solutions: How to Increase Mobile Notary Business for More Success & Profit: with 37 Professional Tips on Amazon 


Executive Producer Derrick Spruill
Writers Marylyn Lee Trotter and Eddie Montes Travis
Graphics & Illustrations by Eddie Montes Travis
Music by Thomas Bynum
This Show is Produced by Magnificent Workz
Business Solutions

Transcript

SPEAKER_00 0:02

Need a blueprint to start your mobile notary business? Don't stumble through the process. You need an outline for success. Introducing the Mobile Notary Blueprint by Derek Sprugal. Build your thriving mobile business and protect yourself from costly mistakes with expert advice. Buy your copy of the Mobile Notary Blueprint by Derek Spruel from any Mine Bookstore, Amazon.com, Barnes and Noble Bookstore, Booksofmillion.com, Bookshop.org, Mobile Notary by DerekSprugle.com, or download from Kindle and build your successful notary business today.

SPEAKER_02 0:40

A staggering 25% of all loan files contain an error. Like think about that for a second.

SPEAKER_01 0:46

Yeah, that's one out of every four files.

SPEAKER_02 0:48

Exactly. And you know, a single missing signature on like page 142 of a massive stack of paperwork, that could cost a lender up to$500 to fix.

SPEAKER_01 0:59

Or worse. I mean, it could make an entire loan completely unsellable in the secondary market. Trevor Burrus, Jr.

SPEAKER_02 1:04

Right. But for decades, the industry just accepted this massive financial hemorrhage as the unavoidable cost of doing business.

SPEAKER_01 1:11

True.

SPEAKER_02 1:11

But today, the era of the stare and compare audit is officially dead. Welcome to Notary Knowledge.

SPEAKER_01 1:16

It is a phenomenal time to be examining this industry, honestly.

SPEAKER_02 1:19

Aaron Powell It really is. If you have been following our ongoing discussions, you know we have been closely tracking this broader evolution. Aaron Powell Right.

SPEAKER_01 1:26

We've spent significant time reflecting on how the profession is moving away from that traditional paper-heavy grind.

SPEAKER_02 1:32

It's stepping into a highly streamlined digital ecosystem.

SPEAKER_01 1:35

And that requires a completely new level of adaptability from professionals like you who are out there in the field.

SPEAKER_02 1:41

Which brings us to our mission today. We are exploring a very specific and frankly revolutionary part of that transition.

SPEAKER_01 1:49

The technological transformation of quality control or QC.

SPEAKER_02 1:53

Yes. We are going to take a depth into our source material to look closely at the rapid rise of the automated QC assistant and explore exactly how artificial intelligence is actively mitigating errors in document execution.

SPEAKER_01 2:07

It's a fascinating shift.

SPEAKER_02 2:08

It is. But before we get into the mechanics of how this technology actually works, a quick reminder for you to rate the show, subscribe, and share it with your professional network.

SPEAKER_01 2:17

Absolutely.

SPEAKER_02 2:18

And if you really want to stay ahead of the curve, we enthusiastically encourage you to buy the Notary Knowledge Books by Derek Sprohl.

SPEAKER_01 2:25

They are an absolutely incredible resource to further your professional journey.

SPEAKER_02 2:29

They really provide that foundational understanding you need to navigate these shifts. Because, you know, the shift we are discussing today is monumental.

SPEAKER_01 2:37

Oh, without a doubt. For decades, the entire concept of verifying a loan package was defined by that manual method you mentioned earlier. Right. Human auditors literally flipping through thousands upon thousands of pages, hour after hour, just to ensure every signature, every date, and every single official stamp was perfectly placed.

SPEAKER_02 2:57

And a standard real estate package isn't exactly a light read.

SPEAKER_01 3:00

No, not at all.

SPEAKER_02 3:00

You are looking at 150 to 200 pages of densely packed legalees, writers, deeds of trust, and closing disclosures.

SPEAKER_01 3:09

It's exhausting.

SPEAKER_02 3:10

I mean, manual QC sounds less like an audit and more like uh looking for a microscopic needle in a haystack of legal jargon.

SPEAKER_01 3:18

That is exactly what it is. Human fatigue is a biological reality. The sheer volume of paperwork creates an environment where flaws are just inevitable.

SPEAKER_02 3:27

Right.

SPEAKER_01 3:27

And as you mentioned at the top of the show, this isn't just a minor administrative annoyance for you or the lender, it is a severe financial liability.

SPEAKER_02 3:34

Yeah.

SPEAKER_01 3:34

When a loan becomes unsellable because of a missed initial, the lender is suddenly forced to hold that asset on their warehouse line.

SPEAKER_02 3:40

Your capital is tied up.

SPEAKER_01 3:42

Exactly. And the direct cost to remediate those errors is painful.

SPEAKER_02 3:45

Aaron Ross Powell Because remediation isn't just pulling a piece of paper out of a filing cabinet. You have to print and ship new documents, you have to contact the borrower, schedule a second appointment.

SPEAKER_01 3:54

Pay the notary to go back out there.

SPEAKER_02 3:56

Yeah. And then you have to pay an auditor for a manual re-review. That ranges anywhere from$140 to$500 per single loan.

SPEAKER_01 4:04

Aaron Powell It adds up incredibly fast.

SPEAKER_02 4:06

Aaron Powell But wait, let me stop you there because I want to play devil's advocate for a second.

SPEAKER_01 4:09

Okay, go ahead.

SPEAKER_02 4:10

If the financial stakes are that high, up to$500 per mistake, and a 25% failure rate, why in the world did this highly regulated industry tolerate such an incredibly inefficient system for so long?

SPEAKER_01 4:24

Aaron Powell Well, that is the core question you have to ask to understand this technological leap. The industry tolerated it because the technology to actually read and comprehend the context of those documents simply didn't exist until very recently.

SPEAKER_02 4:39

Oh, really?

SPEAKER_01 4:39

Yeah. For years we relied on traditional optical character recognition or OCR.

SPEAKER_02 4:44

Right, OCR.

SPEAKER_01 4:45

But OCR is incredibly fragile. It essentially just maps pixels to guess what a letter might be.

SPEAKER_02 4:50

So it's basically just looking at shapes.

SPEAKER_01 4:52

Exactly. If a page was scanned slightly tilted, or if, you know, a borrower's signature drifted outside the designated line and overlapped with the text, the grid broke. Wow. The system failed. It couldn't understand context. The industry was just waiting for a genuine technological leap. And that leap has finally arrived with the recent explosion of agentic AI.

SPEAKER_02 5:15

Okay, let's clarify that term because when I hear AI check in documents, part of me remains highly skeptical. I mean A AI hallucinates all the time. How can we trust a system to verify a legally binding half million dollar mortgage when a chat bot can't even get a chocolate chip cookie recipe right half the time?

SPEAKER_01 5:33

I know what you mean.

SPEAKER_02 5:34

Isn't agentic AI just a glorified spell checker?

SPEAKER_01 5:36

No. And that is a critical distinction you have to make. A spell checker is entirely reactive, it operates in total isolation on a single word.

SPEAKER_02 5:43

Okay.

SPEAKER_01 5:44

Agentic AI operates across what data scientists call state space and action space.

SPEAKER_02 5:49

Break that down for us. What does state space mean in the context of a loan file?

SPEAKER_01 5:54

State space means the AI understands the entire universe of the transaction. It doesn't just look at the piece of paper in front of it.

SPEAKER_02 6:01

So it looks at the bigger picture.

SPEAKER_01 6:02

Right. It reads the emails between the title officer and the lender. It reviews the internal messages. It looks at previous versions of the closing disclosure.

SPEAKER_02 6:10

Oh wow.

SPEAKER_01 6:11

It understands why the transaction is happening and what the final numbers are supposed to reflect. It has situational awareness.

SPEAKER_02 6:18

And the action space.

SPEAKER_01 6:20

Action space means it doesn't just put a red squiggly line under a mistake and wait for a human to fix it. It takes proactive action.

SPEAKER_02 6:27

Like what?

SPEAKER_01 6:28

Well, it can independently draft an email reply to a client clarifying a discrepancy. It can flag a missing seller concession that was mentioned in an email thread three weeks ago, but mysteriously omitted from the final closing statement.

SPEAKER_02 6:43

That's amazing.

SPEAKER_01 6:44

It can even order title searches autonomously to resolve a flag. It acts as a highly intelligent assistant fully embedded within the workflow.

SPEAKER_02 6:52

That is a massive paradigm shift. And the platforms we are seeing emerge from our sources are producing astonishing results. Take Snapdocs, for example. They introduced a funding QC tool that actually catches missing signatures, dates, and stamps in under two minutes.

SPEAKER_01 7:08

Under two minutes. For you as an industry professional, think about the cascading effect of that speed.

SPEAKER_02 7:15

Yeah.

SPEAKER_01 7:16

Snapdocs is saving lenders roughly an hour and a half of review time per single loan. They are reducing the sheer number of pages that require a human's manual review by 99%.

SPEAKER_02 7:27

Incredible. And Zion's Bank used this specific tool and saw their errors plummet by 80%.

SPEAKER_01 7:32

80%. It completely changes the operational timeline.

SPEAKER_02 7:36

It really does. And then you look at platforms like Qualia Clear, the sources mention they use Google's Gemini models.

SPEAKER_01 7:42

Yes.

SPEAKER_02 7:42

And during its beta phase alone, it processed over 100 billion tokens.

SPEAKER_01 7:46

Aaron Powell, which is just a massive amount of data. Aaron Powell Yeah.

SPEAKER_02 7:49

For those who aren't familiar, a token is essentially like a fragment of a word that the AI processes. Right. So processing 100 billion of them means the AI has basically consumed the equivalent of millions of encyclopedias.

SPEAKER_01 8:00

Aaron Powell Just to understand the semantic nuances of legal real estate text.

SPEAKER_02 8:04

Exactly. It conducts a 100% comprehensive file audit on every transaction.

SPEAKER_01 8:09

Aaron Powell And it yields incredibly tangible results. Like there is a specific case highlighted in our sources that perfectly illustrates this.

SPEAKER_02 8:16

Aaron Powell Oh, right. The HOA one.

SPEAKER_01 8:18

Yeah. So QualiClear was running a routine pre-closing checklist and instantly caught a complex mathematical error in the settlement statement.

SPEAKER_02 8:26

Trevor Burrus, which is usually a nightmare to find manually.

SPEAKER_01 8:29

Trevor Burrus Right. Had it gone through, a real estate agent would have been overpaid by$400, and the homeowners association would have been shortchanged by that exact same amount.

SPEAKER_02 8:39

Wow. I mean, think about the absolute panic that usually causes if you're sitting at the closing table and the HOA numbers are short by$400, the transaction just stalls.

SPEAKER_01 8:48

Completely stalls.

SPEAKER_02 8:49

The buyers are stressed, title is scrambling, phone calls are being made to fix a wire transfer. The fact that the AI quietly averted that crisis in seconds before anyone even sat down at the table is the real magic here.

SPEAKER_01 9:00

Aaron Powell Precisely. And we are seeing similar analytical leaps with platforms like Uptick. Right. They are cutting document review times from weeks to literally minutes by auto-classifying highly complex documents, you know, like IRS tax filings and multi-page bank statements.

SPEAKER_02 9:17

Aaron Powell That's incredible. And then there's Scry AI, which operates a platform called Colossio.

SPEAKER_01 9:23

Oh yeah.

SPEAKER_02 9:24

The sources say it utilizes over 40 distinct proprietary algorithms.

SPEAKER_01 9:28

Forty?

SPEAKER_02 9:29

Right. Just to extract entities like names, addresses, corporate IDs, and validate them across multiple related files to ensure total consistency.

SPEAKER_01 9:37

It's extremely thorough.

SPEAKER_02 9:38

It is. We were going to take a quick pause for a commercial break, but when we come back, we're looking at what happens when these errors are actually deliberate deception.

SPEAKER_01 9:45

You won't want to miss it.

SPEAKER_02 9:47

And we're back. So before the break, we clearly established that agentic AI is incredibly powerful at catching honest human mistakes.

SPEAKER_01 9:56

Yes. A missed initial, a mathematically incorrect HOA fee, a forgotten date.

SPEAKER_02 10:02

But that raises a much darker question. What happens when the errors in the documents aren't mistakes at all? Right. If this technology is so good at reading context, how does it handle deliberate deception?

SPEAKER_01 10:12

That brings us to the intersection of document integrity and identity assurance, which is arguably the most critical frontier in this industry right now.

SPEAKER_02 10:21

The scope of the fraud problem is almost unfathomable.

SPEAKER_01 10:24

According to the sources, real estate cybercrime resulted in over$173 million in adjusted losses in 2024 alone.

SPEAKER_02 10:34

That's a huge number.

SPEAKER_01 10:35

And Fincine, the Financial Crimes Enforcement Network, reports that fraudulent activity associated with impersonation is a$200 billion problem.

SPEAKER_02 10:44

Wow. A$200 billion problem. That is a number so large it's hard to even conceptualize.

SPEAKER_01 10:48

It really is.

SPEAKER_02 10:49

The sources break this down into three specific types of document fraud that every professional out there needs to understand.

SPEAKER_01 10:55

Right. First, you have altered documents.

SPEAKER_02 10:57

So these are legitimate files, like a real bank statement, where someone has subtly changed a balance or a date to qualify for a loan.

SPEAKER_01 11:03

Exactly. Second, you have fabricated documents.

SPEAKER_02 11:05

And this is where bad actors use generative AI to create completely fake tax forms or W-2s from thin air.

SPEAKER_01 11:12

Yes. And third, misuse documents.

SPEAKER_02 11:14

That's when someone borrows another person's legitimate ID or utility bill to misrepresent their own identity.

SPEAKER_01 11:20

And here's the terrifying reality about all of this.

SPEAKER_02 11:23

What's that?

SPEAKER_01 11:23

Manual review is practically defenseless against the sophistication of modern fabricated documents. Because if someone uses AI to generate a W-2, the fonts match perfectly, the margins are flawless, the tax calculations add up. A human auditor simply cannot spot the fake.

SPEAKER_02 11:41

Right.

SPEAKER_01 11:41

That is why risk screening software like Inscribe is becoming an absolute necessity.

SPEAKER_02 11:47

Yeah, the numbers on Inscribe are wild. It drops the review time for a complex document from 10 or 15 minutes down to just 72 seconds.

SPEAKER_01 11:55

But it's doing something a human simply can't do.

SPEAKER_02 11:57

Right. It's not just reading the text on the page.

SPEAKER_01 11:59

No. It is analyzing the hidden metadata embedded in the digital file. It is looking for microscopic pixel level edits that indicate an image was tampered with. Wow. It even compares network-based patterns across tens of millions of documents globally.

SPEAKER_02 12:14

Just to see if a specific, subtle, fraudulent template has ever been used before in another transaction somewhere else. It's exactly to use an analogy, it's like having a digital forensics lab that can instantly spot if a single number on a bank statement was pasted over. Yeah. Even if it looks absolutely flawless to the naked eye.

SPEAKER_01 12:33

That's a perfect way to look at it. And then consider companies like base64.ai. They take signature verification to an entirely forensic level. How so? Historically, verifying a signature meant a human looking at an ID card and glancing at the contract to see if the loops and squiggles somewhat matched.

SPEAKER_02 12:51

Right. The stare and compare.

SPEAKER_01 12:52

Exactly. Base 64's AI uses neural networks to analyze the specific angle, pressure, and orientation of the pen strokes.

SPEAKER_02 13:00

That's incredible.

SPEAKER_01 13:01

It verifies whether signatures match based on complex identifiable variables that a forger couldn't possibly replicate.

SPEAKER_02 13:08

And the sources also mention they validate cryptographic digital certificates. For those who aren't software engineers, is that essentially like a digital wax seal on a file?

SPEAKER_01 13:17

That is exactly what it is. When a document is digitally signed, a cryptographic certificate is embedded into the code of the file. If anyone tries to alter even a single space or comma in that document after it is signed, the digital wax seal shatters.

SPEAKER_02 13:32

So the system immediately flags the document as compromised.

SPEAKER_01 13:36

Right. Base 64 instantly reads those certificates to guarantee a document hasn't been tampered with post-signing.

SPEAKER_02 13:42

Now that level of institutional grade security makes perfect sense for massive lenders and enterprise title companies moving billions of dollars. Of course. But what I find truly transformative is how this technology is trickling down directly into the hands of the individual professionals out in the field.

SPEAKER_01 13:58

Oh, it is entirely empowering the solo notary signing agent. The mobile QC ecosystem is taking what used to be enterprise level server power and putting it right onto your smartphone or tablet.

SPEAKER_02 14:11

Absolutely. If you are an independent agent, you are probably looking at tools like signing OS. Yeah. Imagine sitting at the closing table in a borrower's dining room. You used to shuffle through 200 pages before leaving, praying you didn't miss a stamp.

SPEAKER_01 14:23

Right.

SPEAKER_02 14:24

Now, with an app like signing OS, you do an AI scan back review right at the table.

SPEAKER_01 14:28

It's so efficient.

SPEAKER_02 14:30

You snap photos of the package, and the tablet literally highlights a missing initial in green before you even stand up from the chair.

SPEAKER_01 14:37

Which protects your reputation and your bottom line. You don't have to drive all the way back across town the next morning to fix a preventable mistake.

SPEAKER_02 14:44

Exactly.

SPEAKER_01 14:45

Then you have administrative platforms smoothing out the rest of your business. Tools like notary assist, which uses AI to auto-import appointment details directly from your emails to prevent scheduling collisions.

SPEAKER_02 14:57

That saves so much time.

SPEAKER_01 14:58

And Closewise, which utilizes AI order inputs for much faster data entry and highly secure document handling.

SPEAKER_02 15:06

And we cannot discuss this mobile digital ecosystem without exploring remote online notarization or ARN Ron.

SPEAKER_01 15:12

The scale here is just massive.

SPEAKER_02 15:14

Right. Platforms like Proof have officially surpassed$640 billion in real estate transactions.

SPEAKER_01 15:20

That's billion with a B.

SPEAKER_02 15:22

Yes. And Proof, along with platforms like eNotary on call, are deploying highly advanced biometric liveness detection and facial geometry mapping.

SPEAKER_01 15:31

And that liveness detection is crucial.

SPEAKER_02 15:32

How does it actually work?

SPEAKER_01 15:34

Well, it asks the signer to move their head, it maps the contours of their face, it analyzes the reflection of light in their eyes.

SPEAKER_02 15:41

Wow, that's intense.

SPEAKER_01 15:42

It is. It actively stops deepfakes in real time, which ensures you are in strict compliance with complex state laws in places like Texas, Florida, or New York.

SPEAKER_02 15:51

Okay, I have to push back here on behalf of our listeners, because this usually prompts a very specific anxiety within the profession.

SPEAKER_01 15:58

Oh, I know exactly what you're gonna say.

SPEAKER_02 16:00

If the AI is doing the biometric liveness check and cross-referencing the government IDs against global databases and verifying the forensic pen strokes, why am I there?

SPEAKER_01 16:12

Right.

SPEAKER_02 16:12

Does this technology ultimately make the human notary obsolete? Are we looking at the end of the profession?

SPEAKER_01 16:18

I can answer that firmly and unequivocally, no.

SPEAKER_02 16:21

Really?

SPEAKER_01 16:21

Really. The AI does not make the human notary obsolete. You have to look at the AI as a powerful copilot, not a replacement.

SPEAKER_02 16:29

Okay, that's a good way to frame it.

SPEAKER_01 16:30

Yes. The technology handles the heavy lifting of the background data audit and the forensic fraud detection. But the highly trained human notary still fundamentally controls the session.

SPEAKER_02 16:43

Right. You are the one who looks the signer in the eye and administers the legal oath.

SPEAKER_01 16:47

Exactly. You are the one who confirms the signer's willingness to sign and ensures they are not under duress or coercion.

SPEAKER_02 16:54

And you apply the official digital seal.

SPEAKER_01 16:56

Yes. The AI is your safety net. It allows you to focus on the human element of the transaction.

SPEAKER_02 17:02

That makes a lot of sense. Let's take one more quick commercial break and then we will dive into the massive ROI of this AI integration.

SPEAKER_01 17:09

Sounds good. We will be right back.

SPEAKER_02 17:11

Welcome back. So if the human isn't being replaced, if you are still the essential core of the transaction, what is the ultimate impact of all this automation on the industry's bottom line?

SPEAKER_01 17:22

It's a great question.

SPEAKER_02 17:23

How does it actually change your day-to-day life and earning potential?

SPEAKER_01 17:26

The impact is profound, and the return on investment is undeniable across the board. We can look at institutional examples to see exactly where the individual level is heading. The sources highlight Animac, a mortgage lender that integrated Snapdocks' AI. They save 35 minutes of review time per single loan.

SPEAKER_02 17:45

Imagine that at scale. Multiply 35 minutes by hundreds of loans a month, and you are reclaiming weeks of human capital.

SPEAKER_01 17:53

Exactly. And then look at the law firm Thomas and Weber.

SPEAKER_02 17:56

Okay.

SPEAKER_01 17:56

They had a brilliant psychological approach to this tech. They actively positioned Qualia Clear not as software, but as a personal assistant for their team.

SPEAKER_02 18:06

Oh, I love that framing.

SPEAKER_01 18:07

By doing that, they increased their closure capacity by 33%. Wow. And they deferred$117,000 in annual salary costs that would have otherwise gone to hiring part-time manual assistants just to stare at paperwork.

SPEAKER_02 18:21

Incredible.

SPEAKER_01 18:21

And most importantly, they achieved this immense growth without burning out their existing staff.

SPEAKER_02 18:26

It's about sustainable growth. You aren't just working faster, you are working smarter.

SPEAKER_01 18:30

Exactly.

SPEAKER_02 18:31

And this isn't just a domestic phenomenon confined to U.S. real estate. The international impact is equally compelling. Oh deck. In Indonesia, a tool called Nodopopos is being utilized to reduce the drafting time for complex legal deeds known locally as ACTA by 80%.

SPEAKER_01 18:48

80% is massive.

SPEAKER_02 18:50

Right. They are doing this by using direct ID integration and AI drafting templates to eliminate the manual data entry that slows down legal proceedings.

SPEAKER_01 18:59

It's like a global shift toward efficiency. And as we look to the immediate future, the process gets even more deeply integrated.

SPEAKER_02 19:06

Definitely.

SPEAKER_01 19:07

Consider Stabby's use of MISMO smart docs. They're utilizing ENotes and XML data layers.

SPEAKER_02 19:13

Let's explain XML data layers because that sounds, you know, highly technical.

SPEAKER_01 19:17

It does.

SPEAKER_02 19:17

Essentially, instead of a document being a flat digital picture of a piece of paper, the document itself contains structured data. Right. It knows where the signatures go, it knows what the financial values are, and it communicates with the software.

SPEAKER_01 19:30

Exactly. The documents themselves are essentially smart.

SPEAKER_02 19:33

So what does that mean in practice?

SPEAKER_01 19:34

What this means is that as this technology becomes the absolute standard, the software won't even allow a document to be finalized if a required signature is missing.

SPEAKER_02 19:44

Wait, really? It just stops it.

SPEAKER_01 19:46

Yeah, the system actively prevents the error from existing in the final state.

SPEAKER_02 19:50

That stops the problem at the root. It makes the physical shipping of documents and the endless rounds of manual corrections the exception rather than the rule. Right. When you reflect on all of this, the shift is incredible. Yes, the technological barrier to entry for a notary is undoubtedly higher today than it was 10 years ago.

SPEAKER_01 20:09

For sure.

SPEAKER_02 20:09

You need to be deeply familiar with RON platforms, you need high-speed mobile scanners, dual tray laser printers, and an understanding of how biometric security functions.

SPEAKER_01 20:19

But because these AI tools are removing the tedious, soul-crushing manual. You are evolving. You're moving from being a manual processor of paper to a strategic facilitator of highly secure digital transactions.

SPEAKER_02 20:38

Which leaves us with something to really ponder. As MISMO, smart docs, XML data layers, and tamper-proof cryptographic seals become the absolute norm across every jurisdiction. What happens when AI becomes so perfectly integrated into the creation and execution of our agreements that the very concept of a physical document ceases to exist entirely?

SPEAKER_01 20:59

Wow.

SPEAKER_02 20:59

Are we moving toward a future where there are no pages to sign, leaving only pure, verified streams of data continuously authenticating our agreements? It's a wild thought, but we are closer to it than ever.

SPEAKER_01 21:10

It is a profound shift in how we define a legal contract itself.

SPEAKER_02 21:14

Email your questions to Derek at dereksbruel.com. We will try to answer as soon as possible at the end of our shows.

SPEAKER_01 21:20

Executive producer Derek Sprill. Lead writer Marilyn Lee Trotter. Graphics Eddie Montez Travis. Music Thomas Bynum. Produced by Magnificent Works Business Solutions.

SPEAKER_02 21:30

Don't just be listeners of the knowledge, be doers of the knowledge. This is notary knowledge. Until next time.

SPEAKER_00 21:49

Build your thriving mobile business and protect yourself from costly mistakes with expert advice. Buy your copy of the mobile notary blueprint by Derek Scrugal from any online bookstores. Amazon.com, Barnes and Noble Bookstore, Booksofmillion.com, Bookshop.org, Mobile Notary by DerekScruel.com, or download from Kindle and build your successful notary business today.