Case Study: How Nexera Intelligence Helped a Growing Tech Firm Reclaim 2,000+ Hours with AI

Jul 01, 2025By Eli Almo
Eli Almo

When a rapidly scaling tech company approached Nexera Intelligence, they were grappling with a problem that plagues many modern businesses: too much information and not enough time to manage it. Over the years, the company had accumulated tens of thousands of documents—contracts, invoices, memos, purchase orders, compliance forms—scattered across departments and file systems. Their teams were spending hundreds of hours manually reviewing, classifying, and extracting key data from these files just to keep operations running.

The inefficiencies weren’t just inconvenient—they were costly. Contract renewal dates were being missed, invoices were occasionally delayed or misclassified, and important compliance deadlines were slipping through the cracks. Despite having a strong internal team, the manual effort required to keep everything organized was overwhelming and unsustainable.


That’s where Nexera stepped in. 

The Turning Point: From Manual Chaos to AI-Powered Order
 

Our engagement began with a discovery and scoping session to fully understand the scope of the issue. We worked with multiple departments to identify where documents lived, how they were being processed, and which types of information were most critical to extract. What we found was clear: the bottlenecks weren’t due to a lack of effort—they were due to a lack of intelligent automation.


Nexera designed and deployed a custom AI solution centered on document intelligence. We began by building a tailored document classification model using generative AI to sort incoming files into categories like contracts, invoices, legal documents, and internal memos. From there, we developed a smart extraction engine capable of pulling essential metadata from each file—everything from vendor names and invoice totals to renewal dates and payment terms. These pipelines were built to handle scanned PDFs, emails with attachments, and multi-page uploads.

In cases where files were bundled together in a single scan, we implemented an automatic splitter that separated documents for clean ingestion into their internal systems.


Results That Spoke for Themselves
 


Within just a few weeks, the company’s team was able to process more than 30,000 documents using the new system—something that previously would have taken months of full-time work. The manual workload dropped by over 80%, freeing up thousands of hours across operations, finance, and legal teams.


But the time savings were only part of the impact.


The company also saw a dramatic improvement in data accuracy. With structured fields extracted from each document and validated through AI-powered logic checks, the risk of human error dropped significantly. Important deadlines and contract obligations were automatically flagged and tracked. Teams could now search across contracts for key terms and clauses in seconds instead of hours. Invoices were routed correctly and reconciled faster.

Most importantly, the leadership team finally had confidence that their internal records reflected reality—and that they were no longer vulnerable to the kinds of oversights that had cost them time and money in the past.

Why This Matters


This wasn’t just about automating paperwork. It was about transforming how the business operated. By giving their teams tools to work smarter, not harder, the company positioned itself for long-term scalability. They now had a reliable, AI-driven system that could keep up with growth and help them avoid the operational drag that slows so many companies down.

At Nexera, we don’t believe in one-size-fits-all automation. We believe in building practical, strategic solutions tailored to the way your business actually works. This case is just one example of how applied AI—when implemented thoughtfully—can recover thousands of hours, reduce costly errors, and unlock entirely new levels of operational clarity.


If your company is drowning in repetitive workflows or buried under disorganized data, we’d love to help you do the same.