Everyday AI at Linedata: Innovation in Action

AI at Linedata is no longer confined to pilots or side projects. It is increasingly operational, supporting developers, empowering support teams, and guiding decision-making across the business. Two areas in particular are reshaping how we work internally: AI Code Assistants and AI Copilots.

AI Code Assistants: Supercharging Development

Generative AI is powering the way our developers code, securely and at scale. Our Code Assistants help with:

• Migrating code from one language to another
• Generating APIs
• Reviewing and testing code

Developers access multiple platforms, including Azure OpenAI, Amazon Q, and open-source LLMs, within a secure, controlled environment. Early results show 40% time savings across a wide spectrum of use cases, freeing teams to focus on higher-value challenges and faster client delivery.

AI Copilots: A Knowledge Partner for Every Team

Not to be confused with Microsoft Copilot, our copilots are built using Linedata’s proprietary Retrieval Augmented Generation (RAG) methodology. Since 2023, they’ve been deployed selectively in Product & Sales , HR, Marketing, and Client Support.

One support team member put it best: “With Copilot, we can search directly for feature steps or past support tickets, instead of digging through OMS user guides. What used to take hours now takes minutes. Copilot has truly boosted the speed and efficiency of our support.”

Great ideas need proof of value. Linedata uses a central assessment framework to evaluate every AI use case against a simple scorecard:

• Scale of usage
• Productivity gains
• Employee satisfaction

This framework balances grassroots experimentation with enterprise value, ensuring that AI adoption translates into measurable business impact.

From Experimentation to Operationalization

Our AI journey is supported across the organization:

• Executive sponsorship from our CEO, CTO, and Global Head of Innovation
• Business line sponsors and AI ambassadors who surface ideas and democratize adoption
• AI & Analytics Centers of Excellence in Mumbai and Tunis driving R&D, best practices, and scaling from PoC to production

We complement this with regular training and a central AI hub that makes resources widely accessible. The result: AI innovation that is not a side project, but a core way of working.

AI Policy and Responsible Usage

Innovation at Linedata comes with responsibility. We prioritize the privacy and security of our data and that of our clients. Safeguards include:

• A clearly defined AI Usage Policy for all employees
• Oversight from a dedicated AI Steering Committee
• Rigorous risk assessments by a specialist model assessment team

These groups, spanning HR, Legal, IT, InfoSec, and central AI, ensure all perspectives are considered before new tools are introduced.

At Linedata, AI isn’t something that happens in the background or in isolated pilots. It’s an everyday capability that helps us work faster, smarter, and more effectively—while staying true to our values of security, responsibility, and client impact.

By combining strong governance, a culture of experimentation, and clear business outcomes, we are proving that AI innovation is powerful when it’s operational, measurable, and human-centered.

Ready to learn more about how Linedata’s AI journey can benefit your firm? Get in touch today.

About the author, Ashmita Gupta

Ashmita Gupta is a SVP and Chartered Financial Analyst (CFA) who heads Linedata’s AI and Analytics. She is passionate about helping clients solve operational problems and open up their teams to innovation, tapping into their data with AI/ML insights.