The Real Reason You’re Not Moving Faster!
There’s a reason your team feels like they’re always working but never really getting ahead.
It’s not a lack of effort. It’s not poor planning. And it’s definitely not your people.
It’s the weight of manual data entry, slow, repetitive, and silently expensive. Every contract that needs rekeying, every form that has to be double-checked, every PDF that gets opened just to grab a few numbers, these moments seem small. But they add up. Over time, they drain energy, slow decisions, and stall progress in ways most businesses don’t even notice. And the worst part? You’ve likely normalized it.
Let’s pull back the curtain and dive deep into the hidden cost of manual data entry and what you can do to eliminate it for good.
What is Manual Data Entry?
Manual data entry refers to the process of manually inputting information from one system, document, or format into another, typically involving repetitive tasks like typing values from PDFs, emails, spreadsheets, or scanned forms into internal software systems. While it might seem harmless, this routine activity is one of the biggest hidden productivity drains in modern businesses.

Is this happening in your team?
- Still opening PDFs just to grab a few fields?
- Copy-pasting invoice line items into Excel?
- Fixing the same formatting errors every week?
- Training new hires on data cleanup instead of process logic?
If yes then you’re not alone. And you don’t have to keep doing it.
What You Lose Every Time You Manually Enter Data?
Manual data entry has become one of those unspoken “business as usual” problems. It’s always been there, so it’s easy to overlook. But in today’s fast-moving environment, where agility and speed are everything, this one silent inefficiency is quietly killing your momentum.
And it’s more common than you think. Nearly 48% of manufacturing companies still rely on spreadsheets or other manual data entry documents.
Forbes reports that companies lose up to 30% of their revenue each year due to inefficient processes. It’s not just lost time, it’s lost opportunity.
The damage runs deeper than a few wasted hours.
When someone types in data by hand, errors are inevitable. And those errors have ripple effects like missed payments, compliance violations, and frustrated customers. According to Quality Magazine, the typical error rate for manual data entry is around 1%. That may not sound like much until you're handling thousands of documents every week.
Add to that the fatigue, boredom, and burnout that come with repetitive, low-value work, and you’re not just slowing down your workflows. You’re draining your talent.
According to the 2021 Level Research Payables Insight Report, the average cost of manually processing a single invoice is $15.97, once you factor in labor, routing, and correction delays.
1,000 invoices/month = $15,970 in processing costs
12,000 invoices/year = $191,640 burned on manual entry
In healthcare and insurance, it’s no better. The 2023 CAQH Index reports:
- A manual claim status inquiry costs between $12 and $16 per transaction
- Common healthcare admin tasks like eligibility checks or prior authorizations average $3–$6 each when done manually
Even basic data entry roles, according to the U.S. Bureau of Labor Statistics, pay around $17.07/hour and most of that time is spent copying, pasting, or validating information that AI could handle instantly.
Multiply that across teams, processes, and geographies and manual data entry becomes a six-figure drag on growth.
The Hidden Costs of Manual Data Entry
Manual document entry doesn’t scream for attention. It doesn’t show up on budget lines or team dashboards. But it’s there, dragging down productivity, increasing risk, and draining talent. Here’s how the hidden cost adds up:
1. Time That Disappears in Plain Sight
What seems like a few harmless tasks - opening a PDF, copying numbers, checking a field, repeat across dozens of employees and thousands of documents.
A single invoice may take 10 minutes to review and rekey. Multiply that across teams, vendors, and daily volume? You’re burning hours, days, even weeks on work that should’ve never required human input in the first place.
Manual document handling isn’t just slow, it scales poorly.
2. Errors You Can’t Afford
Manual data entry isn’t just tedious. It’s risky. According to Quality Magazine, the typical error rate for manual entry is 1%. That may not sound like much until you're handling thousands of documents every week. In industries like mortgage, insurance, and finance, that error could lead to a missed closing date, a compliance breach, or a costly payout.
Manual work invites mistakes. And mistakes invite consequences.
3. Burnout Beneath the Surface
No one takes a job in operations, finance, or underwriting because they love copying and pasting.
When teams spend their day bouncing between documents and systems, morale erodes. Engagement drops. Turnover rises. And your best people end up doing their worst work.
Repetition kills motivation. Manual work wastes talent.
4. Decision-Making That’s Always Waiting
Every leadership decision is only as good as the data behind it.
But when that data is locked inside documents, and your team is still manually verifying it, decisions get delayed. Opportunities are missed. And what should take minutes takes days.
Slow workflow = slow business.
5. Compliance Gaps Waiting to Happen
Manual processes leave no audit trail. That means missing documents go unnoticed. Inconsistent entries slip through. And compliance flags aren’t raised until it’s too late.
Whether you're in a regulated industry or just want to protect your reputation, manual work introduces risk you can’t afford.
What isn’t trackable, isn’t defensible.
6. Lost Opportunities You’ll Never See
Here’s the real tragedy: while your team is buried in busywork, your competitors are outpacing you with automation. Manual document work doesn’t just slow down what you're doing now, it keeps you from doing what’s next. From innovating. From scaling. From winning.
You’re not just losing time. You’re losing the advantage.
7. Zero Visibility, Zero Control
When documents are processed by hand, you lose clarity. There’s no instant visibility into what’s complete, what’s missing, or where things stand. That lack of transparency leads to poor planning, inconsistent reporting, and decision-making based on guesswork, not facts.
You can’t manage what you can’t see.
The hidden cost of manual document work is more than operational friction. It’s a silent tax on your time, your talent, and your ability to grow. And so it all boils down to…
But, Manual Data Entry Isn’t a People Problem
It’s tempting to think your team can just work harder. That with a few extra hours or a new hire, you can keep up. But even your best people can’t outrun broken systems. Manual work keeps them stuck in firefighting mode, chasing down files, fixing mistakes, and losing sight of what really matters. And the longer they stay in that loop, the more disengaged they become.
Manual Data Entry vs Automated Data Work
From Manual Chaos to Automation: 3 Steps to Get Started

1. Identify High-Volume Pain Points
Start by listing documents that consume the most team time like invoices, closing disclosures, or claims.
2. Run a Test with Real Documents
Upload a few of your toughest files to Infrrd. See how our IDP platform extracts and validates data, no setup needed.
3. Go Live, One Workflow at a Time
Integrate with your ERP, LOS, or CRM. Automate one process, prove the ROI, then scale it across teams.
The Smart Shift to Touchless Workflows
Embracing automation is no longer a future concept, but a competitive edge.
Infrrd’s Intelligent Document Processing (IDP) platform is designed to eliminate the burden of manual document work completely. It doesn’t just extract data, it understands your documents, validates critical fields, flags inconsistencies, and moves the clean data exactly where it needs to go.
By eliminating manual data entry, Infrrd frees your team to focus on what actually drives results, not just shuffling numbers around
Infrrd: Don’t Touch That, We’ve Got it.
Here’s what you get when you automate with Infrrd:
Smart Preprocessing
Even if your documents are messy, unstructured, or scanned in multiple formats, Infrrd prepares them for clean, accurate processing.
Better-Than-Human Extraction
Infrrd’s AI understands your documents like a trained expert. It adapts to layout changes, handles handwritten text, and extracts even hard-to-reach information like table data or signatures.
Built-in Validation and Error Handling
No more second-guessing. Infrrd flags discrepancies in real time and ensures only verified, usable data enters your systems.
Plug-and-Play Integrations
Infrrd connects to your ERP, CRM, LOS, or claims platform without extra development. Your workflows don’t need to change, it just gets better.
Audit-Ready Transparency
Infrrd logs every step for full traceability, helping you stay ahead of compliance and audit requirements.
And yes, it’s all done without you needing to touch a single document.
How Infrrd Eliminates Manual Data Entry Across Industries
Infrrd's AI-driven automation isn’t built for just one type of document. It's trained across verticals and understands the quirks of industry-specific paperwork.
Here’s how different industries use Infrrd:
Watch It Happen: Will It Read?
Want to see if Infrrd can read your toughest documents?
Check out this video from our Will It Read? series, where we throw real-world document challenges at Infrrd’s AI to see how it handles them, all in real time.

Want to try it with your documents? Book A Call.
Event Analysts Agree: The Hidden Cost of Manual Data Entry is Too Big to Ignore
Industry analysts are beginning to take notice of platforms that do more than just automate they fundamentally change how work gets done.
Infrrd was recently named a Leader and Star Performer in Everest Group’s 2025 PEAK Matrix® for Intelligent Document Processing, an acknowledgment reserved for platforms delivering strong market impact and consistent innovation.
It’s also been highlighted by Deep Analysis as a top innovator in document automation, especially for use cases that most solutions struggle with.

These recognitions validate what forward-thinking teams already believe: the end of manual data entry is the beginning of real progress.
Don’t Let Manual Data Entry Hold You Back
Your smartest people shouldn’t be stuck copying and pasting data. Your biggest decisions shouldn’t be delayed because a field wasn’t filled. And your workflows shouldn’t be built around PDFs.
Manual data entry work isn’t just tedious. It’s a tax on your business and a threat to your momentum. The solution? Let go.
Your documents are begging to be left alone.
Don’t touch that. We’ve got it.
FAQs
Using AI for pre-fund QC audits offers the advantage of quickly verifying that loans meet all regulatory and internal guidelines without any errors. AI enhances accuracy, reduces the risk of errors or fraud, reduces the audit time by half, and streamlines the review process, ensuring compliance before disbursing funds.
Choose software that offers advanced automation technology for efficient audits, strong compliance features, customizable audit trails, and real-time reporting. Ensure it integrates well with your existing systems and offers scalability, reliable customer support, and positive user reviews.
Audit Quality Control (QC) is crucial for mortgage companies to ensure regulatory compliance, reduce risks, and maintain investor confidence. It helps identify and correct errors, fraud, or discrepancies, preventing legal issues and defaults. QC also boosts operational efficiency by uncovering inefficiencies and enhancing overall loan quality.
Mortgage review/audit QC software is a collective term for tools designed to automate and streamline the process of evaluating loans. It helps financial institutions assess the quality, compliance, and risk of loans by analyzing loan data, documents, and borrower information. This software ensures that loans meet regulatory standards, reduces the risk of errors, and speeds up the review process, making it more efficient and accurate.
IDP (Intelligent Document Processing) enhances audit QC by automatically extracting and analyzing data from loan files and documents, ensuring accuracy, compliance, and quality. It streamlines the review process, reduces errors, and ensures that all documentation meets regulatory standards and company policies, making audits more efficient and reliable.
Yes, AI can identify and extract changes in revised engineering drawings, tracking modifications to ensure accurate updates across all documentation.