Aeries Technology Demonstrates 60% AP Processing Acceleration with AI-Powered Invoice Automation

Aeries Technology (NASDAQ: AERT) completed a three-month proof of concept with a leading enterprise healthcare customer on December 8, 2025 to modernize accounts payable using Azure AI Document Intelligence.

Rhea-AI Summary

Aeries Technology (NASDAQ: AERT) completed a three-month proof of concept with a leading enterprise healthcare customer on December 8, 2025 to modernize accounts payable using Azure AI Document Intelligence.

Key results: document field extraction accuracy exceeded 70%, invoice processing time fell ~60%, and operations now run with AI-powered exception handling. The work targets a $7.1 billion global AP automation market projected by 2030 (CAGR 12.5%, North America 33.2%).

Positive

• Extraction accuracy exceeded 70%
• Invoice processing time reduced by ~60%
• AI exception handling enabled error-free operations
• Addressable market projected at $7.1B by 2030 (CAGR 12.5%)

Negative

• Extraction accuracy only slightly above 70%, requiring exceptions
• Pilot limited to one healthcare enterprise, sample size small
• Dependency on Azure AI Document Intelligence for core capability

Argus Dec 8 session

-11.80% close to close Open Argus

Details

News Market Reaction – AERT

On Dec 8, the day this news came out, AERT closed 11.80% below the previous close.

Data tracked by StockTitan Argus for the Dec 8 session.

Key Figures

Proof-of-concept duration: 3 months Field extraction accuracy: 70% Processing time reduction: 60% +5 more

Proof-of-concept duration

3 months

Healthcare enterprise AP automation pilot

Field extraction accuracy

70%

Document field extraction during AP automation pilot

Processing time reduction

60%

Invoice processing time drop in pilot

AP automation market size

$7.1B

Projected global accounts payable automation market by 2030

AP automation CAGR

12.5%

Projected CAGR for AP automation market to 2030

North America share

33.2%

Projected North America share of global AP automation revenue

Current share price

$0.634

Pre-news price vs 52-week high of $2.67

Market cap

$31,222,470

Pre-news equity value for AERT

Historical Context

5 past events · Latest: Dec 02

5 events

1. Dec 02

   Automation case study

   24h Move

   -4.7%

   Automation-led data reconciliation moved from pilot to production, cutting timelines ~30%.

2. Nov 17

   Earnings – AI growth

   24h Move

   +8.3%

   Q2 FY2026 showed strongest first half, profitability and reiterated adjusted EBITDA guidance.

3. Nov 17

   GCC recognition

   24h Move

   +8.3%

   Named Major Contender in Everest Group GCC PEAK Matrix for second consecutive year.

4. Nov 12

   Earnings call recap

   24h Move

   +5.1%

   Earnings call detailed turnaround, profitable quarter and AI-led GCC expansion plans.

5. Nov 10

   Earnings – AI update

   24h Move

   -2.8%

   Q2 results highlighted AI-led delivery, >500 planned hires and multi-million AI partnership.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

accounts payable automation, proof of concept, human-in-the-loop, cagr, +1 more

5 terms

accounts payable automation financial

"global accounts payable automation market to reach USD 7.1 billion by 2030"

A system that uses software to handle a company’s bills and supplier payments automatically, replacing manual data entry, paper invoices, and check‑writing with digital workflows and electronic payments. For investors, this matters because it reduces costs and errors, speeds up processing, improves cash‑flow visibility, and lowers fraud risk—similar to switching from paying household bills by mail to using secure automatic online bill pay.

proof of concept technical

"announced successful completion of a three-month proof of concept with a leading"

A proof of concept is a demonstration that shows a new idea, product, or method is feasible and can work as intended. It serves as evidence that an approach has potential value before full development or investment begins. For investors, it helps assess the likelihood of success and reduces uncertainty about whether the concept can deliver its promised benefits.

human-in-the-loop technical

"feeding into human-in-the-loop exception handling workflows."

Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.

cagr financial

"growing at a CAGR of 12.5%, with North America accounting for 33.2%"

Compound Annual Growth Rate (CAGR) measures the average yearly growth of an investment, revenue, or other metric over a multi-year period as if it had grown at a steady rate each year. Think of it like the constant speed that would take you from the starting value to the ending value over the same time—useful because it smooths out ups and downs and lets investors compare different assets or performance periods on an even footing.

global capability center technical

"AI-powered business transformation and Global Capability Center (GCC) services"

A global capability center is a centralized hub a company uses to handle key functions—such as technology, finance, customer support, or product development—for multiple countries or business units. Think of it as a shared-service hub or brain that replaces many smaller local teams, which can cut costs, speed decision-making and improve quality; investors watch these centers because they can boost profit margins, operational consistency and scalability, but also concentrate execution and geopolitical risk.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Three-Month Proof of Concept Validates Market Opportunity in $7.1B Global Accounts Payable Automation Sector

New York, New York--(Newsfile Corp. - December 8, 2025) - Aeries Technology, Inc. (NASDAQ: AERT), a global leader in AI-powered business transformation and Global Capability Center (GCC) services, announced successful completion of a three-month proof of concept with a leading enterprise healthcare organization to modernize accounts payable operations.

The healthcare enterprise faced a common challenge: managing unstructured invoice PDFs through manual, labor-intensive workflows with high error rates and processing delays. Aeries executed a rapid, low-risk pilot leveraging Azure AI Document Intelligence to intelligently extract, classify, and validate invoice fields, feeding into human-in-the-loop exception handling workflows.

Results:

• Document field extraction accuracy exceeded 70%.
• Invoice processing time dropped by approximately 60%.
• Operations now run error-free with AI-powered exception handling.

"This engagement exemplifies our go-to-market approach: consulting-led delivery combining functional expertise with AI-enabled solutions that de-risk implementation and accelerate time-to-value for our clients," said Sachin Aghor, Chief Delivery Officer at Aeries Technology. "Enterprises increasingly want to validate AI business cases before full deployment. Our ability to execute rapid, results-driven proof of concepts positions us to win the initial engagement and establish long-term strategic partnerships."

Industry analysts project the global accounts payable automation market to reach USD 7.1 billion by 2030, growing at a CAGR of 12.5%, with North America accounting for 33.2% of global revenue. Aeries' rapid-deployment, consulting-led model is uniquely positioned to capture share in this expanding market, particularly among enterprises seeking to de-risk AI investments through validated proof of concepts before scaling to full transformation engagements.

About Aeries Technology

Aeries Technology (NASDAQ: AERT) is a global leader in AI-enabled value creation, business transformation, and Global Capability Center (GCC) delivery for private-equity (PE) portfolio companies, supporting scalable, technology-driven execution. Founded in 2012, its commitment to workforce development has earned it the Great Place to Work Certification for two consecutive years.

Media Contact
IR@aeriestechnology.com

Forward-Looking Statements

This press release contains forward-looking statements, including statements regarding product launches, leadership strategy, business expansion plans, initiatives, and operational transformation. These statements are subject to risks and uncertainties as detailed in the Company's filings with the U.S. Securities and Exchange Commission, which are incorporated herein by reference. Actual results may differ materially. The Company disclaims any obligation to update forward-looking statements except as required by law.

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/277255

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Aeries Technology (AERT) announce on December 8, 2025 about invoice automation?

Aeries announced a three-month proof of concept showing document extraction >70% accuracy and ~60% faster invoice processing using Azure AI.

How much did Aeries reduce invoice processing time in the AERT pilot?

Invoice processing time dropped by approximately 60% during the three-month proof of concept.

What accuracy did Aeries achieve for invoice field extraction in the AERT POC?

Document field extraction accuracy exceeded 70% in the proof of concept.

What market opportunity did Aeries cite for accounts payable automation (AERT)?

Aeries cited a projected $7.1 billion global AP automation market by 2030, with a 12.5% CAGR and North America at 33.2%.

Does the AERT pilot require human oversight after deployment?

Yes; the solution uses human-in-the-loop workflows for exception handling alongside AI extraction.

Which AI platform did Aeries use in the AERT invoice automation proof of concept?

Aeries leveraged Azure AI Document Intelligence to extract, classify, and validate invoice fields.