All Foundries

Commodity Management & Trading

Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.

Customer & Marketing Strategy

Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.

Digital Engineering

Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.

Station Studio

Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.

Supply Chain & Industry 5.0

Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.

Sustainability

Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

Retail

From satisfaction surveys to EBITDA: closing the loop on customer pain points

A department store retailer in Mexico turned a biannual NPS programme into a closed-loop customer listening mechanism, connecting feedback to pain-point initiatives and incremental EBITDA.

From satisfaction surveys to EBITDA: closing the loop on customer pain points

Retail

Unified returns management

A retailer processing more than two million returns a year moved from channel-specific workflows toward one digital returns system. The initiative connects request creation, status tracking and routing across sales and return channels.

Unified returns management

Contact

GenAI Contract Analysis IFRS16

Reviewing more than 44,000 contracts manually would turn IFRS 16 analysis into a months-long exercise, with human error embedded in the process. The company used Generative AI and OCR to automate contract reading, identify IFRS 16-related rules and entities, and feed key information into its ERP control flow. The resulting process evaluates each document in 23.5 seconds and reaches 91% effectiveness in rule identification.

Two professionals review lease contracts in a modern office using an AI-powered document analysis platform. A large screen displays highlighted contract clauses and automatically extracted data to support IFRS 16 compliance and lease accounting processes.

44,000+

Contracts evaluated

23.5s

Execution time per document

91%

Effectiveness in rule identification

ERP

Key data extracted for control flow

Team members validate lease agreements using an artificial intelligence solution that automates document analysis, data extraction, and ERP integration. Performance metrics, clause recognition results, and contract processing insights are displayed on a monitoring dashboard.

Turning contract volume into measurable IFRS 16 analysis

The company automated the analysis of more than 44,000 contracts with a Generative AI and OCR model. The solution detects IFRS 16-related entities such as term, acquisition clauses, CAPEX and OPEX, extracts information required by the ERP control flow, and supports payback and ROI estimation per contract.

From months of manual review to 23.5 seconds per contract

Objectives

The objective was to evaluate more than 44,000 contracts automatically against IFRS 16 criteria while extracting the information required for the ERP control flow. The programme also needed to calculate payback and ROI estimates per contract, replacing a manual review process with a repeatable analytical workflow capable of operating at portfolio scale.

Opportunity

The contract portfolio contained the information needed for IFRS 16 analysis, but accessing it manually at this volume created a significant processing burden and exposed the workflow to human error. Generative AI combined with OCR offered a way to read documents at machine speed, identify relevant contractual rules and entities, and convert unstructured contract content into data that could move directly into downstream ERP controls. The opportunity was not simply faster document reading, but a measurable and auditable path from contract text to finance operations.

Manual contract review at impossible scale

The company needed to process a very large contract portfolio while identifying IFRS 16 criteria consistently, extracting structured information for the ERP and reducing dependence on manual review.

Key Challenges

Modern corporate office campus with contemporary glass buildings.

1: Volume beyond manual review
More than 44,000 contracts had to be evaluated, making manual analysis a months-long exercise.

Filing cabinet containing categorized lease agreement records for properties, vehicles, equipment, and IT infrastructure.

2: Exposure to human error
The existing manual process was prone to errors when identifying and interpreting contract rules.

Professional reviewing an IFRS 16 analytics dashboard displaying lease contract assessments, compliance status indicators, performance metrics, and automated analysis results generated from contract data.

3: Unstructured data for ERP controls
Key contractual entities had to be extracted from documents and converted into data usable by the ERP control flow.

AI-powered IFRS 16 contract analysis and automated data extraction.

4: Consistent IFRS 16 rule identification
The process needed a repeatable way to identify and analyse relevant contract rules across the full portfolio.

Solution

A GenAI and OCR model for IFRS 16 contract entities

NTT DATA automated contract analysis with a Generative AI and OCR model designed to detect IFRS 16-related entities, extract key information for ERP controls and support financial estimates at contract level.

Detect IFRS 16 entities with GenAI and OCR

The model identifies relevant entities including contract term, acquisition clauses, CAPEX and OPEX.

Extract key data for the ERP control flow

Relevant contract information is structured and passed into the ERP control process.

Estimate payback and ROI per contract

The automated workflow supports payback and ROI estimates for individual contracts.

Automate the manual review process

Automation replaces repetitive document analysis and reduces the human-error exposure of the previous process.

Impact

IFRS 16 analysis at machine speed

The automated process evaluated more than 44,000 contracts, reducing execution time to 23.5 seconds per document. The model achieved 91% effectiveness in the identification and analysis of contract rules, while automation reduced human-error exposure and supplied key data to the ERP control flow. The source characterises the previous manual exercise as taking months, but does not provide a quantified before-and-after duration.

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