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

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

News Market Reaction

-11.80%

13 alerts

-11.80% News Effect

+3.7% Peak Tracked

-12.0% Trough Tracked

-$4M Valuation Impact

$30M Market Cap

1.1x Rel. Volume

On the day this news was published, AERT declined 11.80%, reflecting a significant negative market reaction. Argus tracked a peak move of +3.7% during that session. Argus tracked a trough of -12.0% from its starting point during tracking. Our momentum scanner triggered 13 alerts that day, indicating notable trading interest and price volatility. This price movement removed approximately $4M from the company's valuation, bringing the market cap to $30M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

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

8 metrics

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

Market Reality Check

Price: $0.5794 Vol: Volume 125,269 is 0.65x t...

low vol

$0.5794 Last Close

Volume Volume 125,269 is 0.65x the 20-day average of 192,841 shares. low

Technical Shares at $0.634, trading below the $0.73 200-day moving average and far under the $2.67 52-week high.

Peers on Argus

AERT gained 2.24% while peers were mixed: VCIG +8.74%, INTJ +5.93%, ROMA +1.2%, ...

AERT gained 2.24% while peers were mixed: VCIG +8.74%, INTJ +5.93%, ROMA +1.2%, GRNQ flat, FORR -3%, pointing to a stock-specific move.

Historical Context

5 past events · Latest: Dec 02 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Dec 02	Automation case study	Positive	-4.7%	Automation-led data reconciliation moved from pilot to production, cutting timelines ~30%.
Nov 17	Earnings – AI growth	Positive	+8.3%	Q2 FY2026 showed strongest first half, profitability and reiterated adjusted EBITDA guidance.
Nov 17	GCC recognition	Positive	+8.3%	Named Major Contender in Everest Group GCC PEAK Matrix for second consecutive year.
Nov 12	Earnings call recap	Positive	+5.1%	Earnings call detailed turnaround, profitable quarter and AI-led GCC expansion plans.
Nov 10	Earnings – AI update	Positive	-2.8%	Q2 results highlighted AI-led delivery, >500 planned hires and multi-million AI partnership.

Pattern Detected

Recent news is generally positive, but price reactions have been mixed, with three gains and two declines following upbeat operational and earnings updates.

Recent Company History

Over the last few months, Aeries has highlighted multiple AI-led execution wins and a completed turnaround. On Nov 10–17, Q2 FY2026 results showed revenue of $17.36M, net income of $0.64M, adjusted EBITDA of $2.55M, and reiterated $6M–$8M EBITDA guidance, drawing varied price reactions. Other releases emphasized GCC recognition and automation projects delivering ~30% faster cycles and meaningful client savings. Today’s AI-powered AP proof-of-concept continues this theme of case-study style ROI evidence for enterprise clients.

Regulatory & Risk Context

Active S-3 Shelf · $100,000,000

Shelf Active

Active S-3 Shelf Registration 2025-10-01

$100,000,000 registered capacity

An active Form S-3 shelf filed on 2025-10-01 allows Aeries to offer up to $100,000,000 in various securities, including an at-the-market facility for up to $4,485,000 of Class A shares. The shelf is not yet effective and has seen 1 related 424B filing, indicating potential future capital-raising and resale activity that could affect existing holders.

Market Pulse Summary

The stock dropped -11.8% in the session following this news. A negative reaction despite operational...

Analysis

The stock dropped -11.8% in the session following this news. A negative reaction despite operationally positive news would fit prior instances where upbeat AI updates led to declines. The AP automation pilot delivered 70% accuracy and 60% faster processing within a 3‑month engagement, but regulatory filings highlight going-concern risks and an active $100,000,000 shelf with ATM capacity. Such financing flexibility and balance sheet considerations could weigh on sentiment even when execution metrics appear strong.

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. Not financial advice.

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

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.