Discover how elsai Data Unifier Agent helped a global pharmaceutical enterprise centralize ESG data collection, improve ESG data accuracy to over 95%, reduce manual coordination by 70%, and accelerate compliant sustainability reporting.
70%
70%
70%
70%
Reduction in manual coordination effort
95%+
95%+
95%+
95%+
ESG data accuracy through AI-based validation
< 7 Days
< 7 Days
< 7 Days
< 7 Days
To prepare enterprise ESG reports
Table of contents
Overview
A global pharmaceutical enterprise headquartered in the UAE, with operations across 90+ countries, needed to modernize its ESG data management ecosystem.
The organization managed ESG data across multiple regions, departments, spreadsheets, and business systems. This made ESG data unification difficult, slowed report preparation, and limited leadership visibility into sustainability progress across global operations.
Business Challenge
The enterprise needed a centralized and automated way to collect, validate, approve, and share ESG data across regions.
01
ESG data was fragmented across multiple regional systems and spreadsheets.
02
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
03
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
04
Departments followed different methods, creating inefficiencies and long turnaround times.
05
CSRD, GRI, and SASB reporting requirements created compliance complexity.
elsai Solution
elsai implemented the elsai Data Unifier Agent to centralize and streamline ESG data collection across global business units.
The solution enabled:
• Unified ESG data collection across departments, regions, and business systems.
• A goal-based request engine for ESG managers to raise structured data requests tied to specific objectives or KPIs.
• Automated task routing to relevant contributors across departments and regions.
• AI-driven ESG data validation to check accuracy, identify missing entries, and flag inconsistencies.
• A hierarchical ESG approval workflow across department, regional, and global oversight levels.
• Centralized consolidation of validated ESG data into an ESG Data Lake.
• Secure selective ESG data sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
Business Impact
70% Reduction in Manual Coordination Effort:
Automated ESG data collection, request routing, and workflow coordination reduced manual effort across departments and regions.
Validation Time Reduced from 3–5 Days to Less Than 1 Day:
AI-driven ESG data validation automatically checked accuracy, identified missing entries, and flagged inconsistencies faster.
95%+ ESG Data Accuracy:
AI-based validation improved ESG data quality, giving teams stronger confidence in sustainability insights and internal reviews.
ESG Report Preparation Reduced from 2–3 Weeks to Under a Week:
Centralized data collection and validation helped accelerate compliance submissions and internal reporting cycles.
Centralized ESG Data Lake:
Consolidated validated ESG data into one foundation, reducing duplication, inconsistent formats, and limited traceability.
Structured ESG Approval Workflow:
Created accountability across department, regional, and global levels before final approval.
Secure Selective ESG Data Sharing:
Enabled controlled sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
The elsai Advantage
• ESG data unification across global departments and regions.
• Automated ESG data collection tied to goals, KPIs, and reporting needs.
• AI ESG data quality checks for missing entries, inconsistencies, and accuracy.
• Hierarchical ESG approval workflow for stronger accountability.
• Centralized ESG Data Lake for validated sustainability data.
• Scalable foundation for future predictive analytics and reporting automation.
Still managing pharmaceutical ESG reporting through siloed systems, spreadsheets, and email follow-ups?
Let's build a solution tailored to your business needs.
Talk to our experts →
Overview
A global pharmaceutical enterprise headquartered in the UAE, with operations across 90+ countries, needed to modernize its ESG data management ecosystem.
The organization managed ESG data across multiple regions, departments, spreadsheets, and business systems. This made ESG data unification difficult, slowed report preparation, and limited leadership visibility into sustainability progress across global operations.
Business Challenge
The enterprise needed a centralized and automated way to collect, validate, approve, and share ESG data across regions.
01
ESG data was fragmented across multiple regional systems and spreadsheets.
02
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
03
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
04
Departments followed different methods, creating inefficiencies and long turnaround times.
05
CSRD, GRI, and SASB reporting requirements created compliance complexity.
elsai Solution
elsai implemented the elsai Data Unifier Agent to centralize and streamline ESG data collection across global business units.
The solution enabled:
• Unified ESG data collection across departments, regions, and business systems.
• A goal-based request engine for ESG managers to raise structured data requests tied to specific objectives or KPIs.
• Automated task routing to relevant contributors across departments and regions.
• AI-driven ESG data validation to check accuracy, identify missing entries, and flag inconsistencies.
• A hierarchical ESG approval workflow across department, regional, and global oversight levels.
• Centralized consolidation of validated ESG data into an ESG Data Lake.
• Secure selective ESG data sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
Business Impact
70% Reduction in Manual Coordination Effort:
Automated ESG data collection, request routing, and workflow coordination reduced manual effort across departments and regions.
Validation Time Reduced from 3–5 Days to Less Than 1 Day:
AI-driven ESG data validation automatically checked accuracy, identified missing entries, and flagged inconsistencies faster.
95%+ ESG Data Accuracy:
AI-based validation improved ESG data quality, giving teams stronger confidence in sustainability insights and internal reviews.
ESG Report Preparation Reduced from 2–3 Weeks to Under a Week:
Centralized data collection and validation helped accelerate compliance submissions and internal reporting cycles.
Centralized ESG Data Lake:
Consolidated validated ESG data into one foundation, reducing duplication, inconsistent formats, and limited traceability.
Structured ESG Approval Workflow:
Created accountability across department, regional, and global levels before final approval.
Secure Selective ESG Data Sharing:
Enabled controlled sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
The elsai Advantage
• ESG data unification across global departments and regions.
• Automated ESG data collection tied to goals, KPIs, and reporting needs.
• AI ESG data quality checks for missing entries, inconsistencies, and accuracy.
• Hierarchical ESG approval workflow for stronger accountability.
• Centralized ESG Data Lake for validated sustainability data.
• Scalable foundation for future predictive analytics and reporting automation.
Still managing pharmaceutical ESG reporting through siloed systems, spreadsheets, and email follow-ups?
Let's build a solution tailored to your business needs.
Talk to our experts →
Overview
A global pharmaceutical enterprise headquartered in the UAE, with operations across 90+ countries, needed to modernize its ESG data management ecosystem.
The organization managed ESG data across multiple regions, departments, spreadsheets, and business systems. This made ESG data unification difficult, slowed report preparation, and limited leadership visibility into sustainability progress across global operations.
Business Challenge
The enterprise needed a centralized and automated way to collect, validate, approve, and share ESG data across regions.
01
ESG data was fragmented across multiple regional systems and spreadsheets.
02
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
03
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
04
Departments followed different methods, creating inefficiencies and long turnaround times.
05
CSRD, GRI, and SASB reporting requirements created compliance complexity.
elsai Solution
elsai implemented the elsai Data Unifier Agent to centralize and streamline ESG data collection across global business units.
The solution enabled:
• Unified ESG data collection across departments, regions, and business systems.
• A goal-based request engine for ESG managers to raise structured data requests tied to specific objectives or KPIs.
• Automated task routing to relevant contributors across departments and regions.
• AI-driven ESG data validation to check accuracy, identify missing entries, and flag inconsistencies.
• A hierarchical ESG approval workflow across department, regional, and global oversight levels.
• Centralized consolidation of validated ESG data into an ESG Data Lake.
• Secure selective ESG data sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
Business Impact
70% Reduction in Manual Coordination Effort:
Automated ESG data collection, request routing, and workflow coordination reduced manual effort across departments and regions.
Validation Time Reduced from 3–5 Days to Less Than 1 Day:
AI-driven ESG data validation automatically checked accuracy, identified missing entries, and flagged inconsistencies faster.
95%+ ESG Data Accuracy:
AI-based validation improved ESG data quality, giving teams stronger confidence in sustainability insights and internal reviews.
ESG Report Preparation Reduced from 2–3 Weeks to Under a Week:
Centralized data collection and validation helped accelerate compliance submissions and internal reporting cycles.
Centralized ESG Data Lake:
Consolidated validated ESG data into one foundation, reducing duplication, inconsistent formats, and limited traceability.
Structured ESG Approval Workflow:
Created accountability across department, regional, and global levels before final approval.
Secure Selective ESG Data Sharing:
Enabled controlled sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
The elsai Advantage
• ESG data unification across global departments and regions.
• Automated ESG data collection tied to goals, KPIs, and reporting needs.
• AI ESG data quality checks for missing entries, inconsistencies, and accuracy.
• Hierarchical ESG approval workflow for stronger accountability.
• Centralized ESG Data Lake for validated sustainability data.
• Scalable foundation for future predictive analytics and reporting automation.
Still managing pharmaceutical ESG reporting through siloed systems, spreadsheets, and email follow-ups?
Let's build a solution tailored to your business needs.
Talk to us →
Table of contents
Overview
A global pharmaceutical enterprise headquartered in the UAE, with operations across 90+ countries, needed to modernize its ESG data management ecosystem.
The organization managed ESG data across multiple regions, departments, spreadsheets, and business systems. This made ESG data unification difficult, slowed report preparation, and limited leadership visibility into sustainability progress across global operations.
Business Challenge
The enterprise needed a centralized and automated way to collect, validate, approve, and share ESG data across regions.
01
ESG data was fragmented across multiple regional systems and spreadsheets.
02
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
03
Duplicate records, inconsistent formats, and limited traceability made consolidation slow and error-prone.
04
Departments followed different methods, creating inefficiencies and long turnaround times.
05
CSRD, GRI, and SASB reporting requirements created compliance complexity.
elsai Solution
elsai implemented the elsai Data Unifier Agent to centralize and streamline ESG data collection across global business units.
The solution enabled:
• Unified ESG data collection across departments, regions, and business systems.
• A goal-based request engine for ESG managers to raise structured data requests tied to specific objectives or KPIs.
• Automated task routing to relevant contributors across departments and regions.
• AI-driven ESG data validation to check accuracy, identify missing entries, and flag inconsistencies.
• A hierarchical ESG approval workflow across department, regional, and global oversight levels.
• Centralized consolidation of validated ESG data into an ESG Data Lake.
• Secure selective ESG data sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
Business Impact
70% Reduction in Manual Coordination Effort:
Automated ESG data collection, request routing, and workflow coordination reduced manual effort across departments and regions.
Validation Time Reduced from 3–5 Days to Less Than 1 Day:
AI-driven ESG data validation automatically checked accuracy, identified missing entries, and flagged inconsistencies faster.
95%+ ESG Data Accuracy:
AI-based validation improved ESG data quality, giving teams stronger confidence in sustainability insights and internal reviews.
ESG Report Preparation Reduced from 2–3 Weeks to Under a Week:
Centralized data collection and validation helped accelerate compliance submissions and internal reporting cycles.
Centralized ESG Data Lake:
Consolidated validated ESG data into one foundation, reducing duplication, inconsistent formats, and limited traceability.
Structured ESG Approval Workflow:
Created accountability across department, regional, and global levels before final approval.
Secure Selective ESG Data Sharing:
Enabled controlled sharing with auditors, stakeholders, and reporting platforms through encrypted links or APIs.
The elsai Advantage
• ESG data unification across global departments and regions.
• Automated ESG data collection tied to goals, KPIs, and reporting needs.
• AI ESG data quality checks for missing entries, inconsistencies, and accuracy.
• Hierarchical ESG approval workflow for stronger accountability.
• Centralized ESG Data Lake for validated sustainability data.
• Scalable foundation for future predictive analytics and reporting automation.
Still managing pharmaceutical ESG reporting through siloed systems, spreadsheets, and email follow-ups?
Let's build a solution tailored to your business needs.
Talk to our experts →
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.
elsai
Enterprise AI governance platform for agentic workflows. Transform your operations with confidence.