Spotlight on Quality: How Doc AI Cuts Material Report Processing from Days to Minutes

Amara

Welcome to , where we explore real-world AI breakthroughs making work faster, smarter, and better. I’m Amara.

Ravi Kumar

And I’m Ravi, CTO at Aekam AI. Today, we’re putting the spotlight on how Doc AI helped transform a global manufacturing client’s quality documentation process—cutting days of manual work down to minutes.

Amara Lawson

So Ravi, before we dive into the "wow," let's rewind. What was life like before Doc AI came into the picture?

Ravi Kumar

Picture this: suppliers sending Material Test Reports—or MTRs—in every imaginable format. PDFs, Excels, Word docs... and because each supplier has their own way of reporting, nothing was structured.

Amara

So no standard format? No easy way to match data?

Ravi

Exactly. No unique identifiers either. No common fields tying everything together across reports. The process? A manual admin army : 1)Collecting certs from suppliers 2) Manually extracting data into spreadsheets 3)Building pivot tables to align product details 4)Then generating customer certificates, trying to cross-check against regulatory requirements.

Amara

Oof, that sounds like a nightmare. So, no unique identifiers either? Like, nothing tying one report to another?

Ravi

Exactly. There wasn’t a single, consistent element—no heat codes, no purchase order cross-references, nothing like that. Instead, all of this dumped into a workflow that was—well—completely manual.

Amara

I mean, even just hearing this gives me secondhand stress. What was the process like for teams?

Ravi

Painful. Picture an admin army collecting certificates, manually extracting data, plugging it into spreadsheets, creating pivot tables to align product details... then cross-checking it all against regulatory standards. Not only slow, but prone to error.

Amara

And the compliance risk here seems massive—like, one small typo could delay everything.

Ravi

That’s exactly what happened more often than not. And for industries that require Material Test Reports to ship products, any delay meant compliance risks right out of the gate. Worse, there were so many hand-offs—procurement, quality teams, data folks—it was, honestly, a ticking time bomb.

Amara

Wow, that’s rough. Actually, it reminds me of this one supplier I worked with—they were always scrambling to fix certificates at the last minute because of manual entry errors. One mismatch in a chemical composition field pushed orders back by weeks.

Ravi

Exactly! I mean, when I I hear stories like that, I'm not surprised. Manual entry isn't just slow—it’s unreliable. And for industries where precision is everything, those errors can lead to huge delays or, worse, compliance failures.

Amara

Alright, so that’s the before picture—total chaos, unstructured data, risky workflows. But now, we get to the cool part. How does Doc AI step in and... clean it all up?

Ravi

Picture this: suppliers upload their certificates directly into a portal or app. Doc AI’s agentic structure engine takes it from there. It’s trained on hundreds of formats—everything from PDFs to Excel—and it automatically recognizes the structure of each document.

Amara

Wait, hold on—so the system can analyze hundreds of different formats and just... make sense of them? Like, no manual tagging or anything?

Ravi

That’s right. It identifies and extracts the key fields—chemical compositions, mechanical properties, certification dates, heat codes, you name it. From there, it validates everything against industry standards—ASTM, for instance—and saves it into a centralized database.

Amara

That’s... so efficient. And then it generates what—customer certificates? Fully validated, good to go?

Ravi

Yep, it creates fully traceable, regulatory-grade customer certificates. What used to take days? Now takes only minutes.

Amara

Wow, that’s a game changer. So with all this efficiency and accuracy in place, let’s talk results. You mentioned this pilot program—how did it go?

Ravi

Amazingly well. In just the first month of deployment, Doc AI autonomously processed over 900 Material Test Reports. And get this—turnaround time dropped from five days to just a few minutes per certificate.

Amara

Few minutes? That’s—that’s such a drastic shift. What about accuracy?

Ravi

Near-perfect. The system’s trained so well on these formats that errors are practically non-existent. And that level of precision? It’s critical for industries where compliance is everything.

Amara

And I bet the quality team wasn’t complaining either, right?

Ravi

Oh, not at all. They went from spending hours—sometimes days—cleaning and aligning data, to actually focusing on quality initiatives. We’re talking about moving from reactive work, like error corrections, to proactive improvements in product and process quality.

Amara

Honestly, that shift alone is massive. The mental space and time saved must’ve been game-changing.

Ravi

Exactly. And it’s not just about saving time—it’s about enabling teams to use their skills and expertise for things that actually add value. I remember a similar project we implemented at Aekam a few years back. That client—also in manufacturing—used automation for supplier quality audits.

Amara

Oh, this sounds interesting—what were the results like there?

Ravi

Well, they went from manually auditing supplier compliance—spending weeks on paperwork—to a fully automated workflow that flagged non-compliance issues instantly. Within months, they saw reduced supplier defects by over 30 percent, just from the efficiency and insights automation brought in.

Amara

Thirty percent. Wow, okay, so not only are errors and delays getting cut down, but this kind of tech can make businesses seriously competitive.

Ravi

Totally. It’s a ripple effect—the time and accuracy improvements trickle down through production, compliance, and even how quickly products get to market. That’s why innovations like Doc AI are such game-changers for industries that rely heavily on precision and compliance.

Amara

Hearing all this, Ravi, it’s clear that Doc AI is transforming operations in profound ways. With such impressive results, expanding its reach across operations seems inevitable. What’s the plan for scaling up?

Ravi

Absolutely. The aim is scalability. By the end of Q3 2025, the client plans to implement Doc AI across multiple product lines. This includes high-volume operations where speed and accuracy are critical. And as the deployment expands, we’re projecting even greater efficiency gains—both in terms of time savings and error reduction.

Amara

It feels like this could redefine quality processes altogether. But let’s step back for a second—what does this mean for the broader manufacturing landscape?

Ravi

That’s a great question. When you think about it, innovations like Doc AI are raising the bar for compliance, accuracy, and speed. For global supply chains, this sets a new operational standard. Manufacturers can achieve real-time data validation, eliminate manual bottlenecks, and streamline their workflows to lower costs. And the ripple effect? More agile, responsive supply chains that meet market demands in record time.

Amara

So basically, industries are being pushed to evolve or risk falling behind.

Ravi

Exactly. And it’s not limited to big players anymore. Smaller manufacturers can adopt ecosystem-friendly AI tools, like Doc AI, to level the playing field. Imagine a small supplier—normally buried under paperwork—suddenly freeing up resources to innovate and compete globally. These tools aren’t just for giants anymore.

Amara

That’s a game-changer for smaller operations. But I feel like adoption is still a hurdle, right? What advice do you have for companies just starting to navigate AI integration?

Ravi

Start small. Focus on specific pain points—like automating manual data workflows—and expand gradually. It’s about building confidence in the technology and ensuring teams are on board with the change. Also, lean into partnerships. Proven platforms like Doc AI provide pre-trained models that reduce the need for extensive custom development.

Amara

So, a combination of targeted impact and trusted tech makes the journey smoother.

Ravi

Precisely. And the key, honestly, is just starting. AI isn’t the future anymore—it’s the present. The earlier companies embrace these tools, the faster they can prove their value and outpace competitors.

Amara

And on that note—it feels like we’ve come full circle today. From cutting days of manual work to minutes, to unlocking new possibilities for manufacturers big and small... Doc AI really is reshaping what quality means.

Ravi

It truly is. It’s exciting to see the shift happen in real time, and I can’t wait to see what’s next.

Amara

Me neither. Well, that’s all for today’s deep dive. If you’re ready to transform your workflows and streamline your operations, don’t wait—visit aekam.ai and book a demo. Let Doc AI work its magic.

Ravi

It’s been a pleasure. Until next time!