Key Highlights

  • OptiSol collaborated with a leading pharmaceutical manufacturing firm to replace manual spreadsheet-based ESG tracking by implementing the intelligent elsAi ESG platform, ensuring a more structured, efficient, and centralized data management process.
  • The client faced increasing compliance risks, delayed reporting, and fragmented ESG data across departments. Manual processes, low visibility, and a lack of audit readiness made sustainability reporting both time-consuming and error-prone.
  • OptiSol deployed its elsAi ESG platform, built using Gen AI, to streamline emissions tracking, automate ESG reporting, establish strong governance for the client’s manufacturing operations, and address inefficiencies in data handling and report generation.
  • The platform enabled the client to continuously monitor Scope 1 and Scope 2 emissions, generate audit-ready reports with built-in validations, and track ESG progress in real time using customized dashboards and visual insights.

Problem Statement

01

Manual Processes: The client used spreadsheets scattered across departments to manage ESG metrics. This caused data silos, duplicate entries, and frequent errors, making it difficult to maintain consistency and data accuracy over time.

02

Compliance Pressure: With ESG regulations becoming stricter, the client struggled to meet disclosure standards. They lacked a unified system to generate standardized, traceable reports, putting their compliance and investor trust at risk.

03

Low Visibility: Key sustainability leaders did not have access to real-time insights on emissions, energy consumption, or waste metrics. This made it hard to track ESG goals, respond quickly, or make informed decisions.

04

Audit Challenges: Preparing for ESG audits was a time-consuming effort. The team had to manually gather and validate data from different sources, often facing last-minute issues due to inconsistent records and missing documentation.

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Solution Overview

01

OptiSol implemented its Gen AI solution, elsAi ESG, tailored for pharmaceutical manufacturing. It automated data consolidation from sources such as ERP systems, energy meters, and utility bills to ensure consistent and reliable ESG data capture.

02

The solution offered ready-to-use modules that tracked Scope 1 and Scope 2 emissions, monitored water and waste metrics, and followed GRI-aligned templates for structured and standards-compliant ESG reporting across all business units.

03

Custom real-time dashboards were configured to show plant-wise and company-wide performance. These dashboards helped teams visualize ESG progress, monitor key targets, and track regulatory compliance in a clear and actionable format.

04

The system generated audit-ready reports with pre-built data validations, automatic versioning, and detailed logs. This removed manual reporting errors and ensured transparency for internal reviews and external ESG audits.

05

The platform included role-based access for various departments such as sustainability, finance, and operations. This allowed each team to view, update, and manage ESG data relevant to their role, improving governance and collaboration.

Business Impact

01

Reduced Reporting Time: Automated data capture and centralized reporting helped the client cut down on repetitive manual work, allowing teams to generate accurate ESG reports faster with minimal intervention.
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%
Reduction in ESG Reporting Time

02

Enhanced Data Accuracy: Integrated validations and system-driven inputs minimized manual errors, ensuring consistency and reliability across all ESG data points and reporting units.
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%
Significant Drop in Data Discrepancies Across Units

03

Improved Audit Readiness: With built-in traceability, version control, and standardized report formats, the client was better prepared for internal reviews and external audits without last-minute escalations.
0
%
Streamlined ESG Audits with Traceable Logs and Historical Reports

About The Project

This success story highlights how OptiSol enabled a large pharmaceutical manufacturing firm to modernize its ESG operations by transitioning from error-prone spreadsheets to a Gen AI-powered, real-time ESG data platform. With rising environmental disclosure requirements and sustainability targets, the client needed a scalable solution that could automate emissions tracking, enable transparency, and simplify compliance. By adopting OptiSol’s elsAi ESG, the firm now manages its environmental footprint with greater precision, collaborates more effectively across teams, and confidently prepares for both internal and regulatory audits.

FAQs:

What is elsAi ESG and how does it work in a manufacturing environment?

elsAi is OptiSol’s proprietary Generative AI platform that automates ESG data collection, tracks key metrics like emissions and energy usage, and delivers real-time dashboards tailored for manufacturing environments with plant-level insights and compliance reporting.

How difficult is it to move from spreadsheets to this ESG platform?

The transition is smooth with guided onboarding, bulk data upload tools, and system integrations. It replaces manual tracking with automated workflows, improving accuracy and reducing effort without disrupting existing operations.

Can the platform integrate with my existing ERP or energy monitoring system?

Yes. elsAi ESG supports integrations with major ERP systems and energy meters. It consolidates data from multiple sources through APIs, file uploads, or connectors to ensure seamless ESG data centralization.

How does the solution help during ESG audits?

It ensures audit readiness with automated data logs, version history, and standardized report formats. Users can quickly retrieve validated records and eliminate manual reconciliation, making ESG audits faster and more reliable.

Is elsAi ESG scalable for future ESG needs or additional locations?

Yes. elsAi ESG is modular and scalable, supporting expansion to multiple facilities, new ESG KPIs, and future compliance needs. It easily adapts to growing reporting requirements across geographies or business units.

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