Summary

One of the world’s leading stock exchanges set out to harness generative AI to improve productivity and insight generation across the enterprise. However, strict requirements around data security, governance, and regulatory compliance meant that off-the-shelf AI tools posed unacceptable risk. Marlabs partnered with the organization to design and implement a secure, cloud-based GenAI platform that enabled controlled access to AI capabilities while maintaining enterprise-grade governance. The platform delivered measurable gains in efficiency, decision-making speed, and cost control, while establishing a strong foundation for responsible AI adoption at scale.

Challenge

The client wanted to enable generative AI across business workflows to accelerate insights and reduce manual effort, without compromising proprietary data or regulatory compliance. Existing access to AI tools was limited and insufficiently governed, creating concerns around data leakage, misuse, and auditability. The organization needed a scalable solution that balanced innovation with strict controls, allowing teams to adopt AI safely and consistently across departments.

Solution

Platform strategy and architecture

Marlabs worked closely with stakeholders to define a clear platform strategy aligned to the client’s security, compliance, and scalability requirements. This phase focused on designing a cloud-based architecture that could support enterprise-wide GenAI use while enforcing consistent standards. Governance policies and security protocols were defined early to ensure AI adoption would be controlled, auditable, and compliant from day one.

AI skill development and integration

With the foundation in place, Marlabs developed modular AI capabilities tailored to the client’s priority use cases. These included summarization, content generation, and code generation, designed to integrate seamlessly into existing workflows. Each capability was tested and validated against business requirements to ensure accuracy, relevance, and reliability before broader rollout.

Security and governance implementation

A robust governance layer was implemented to enforce safe and responsible AI usage across the platform. This included access controls, data classification policies, and audit logging to prevent unauthorized use and data leakage. By embedding governance directly into the platform, the client gained confidence that AI tools could be used widely without increasing operational or compliance risk.

Cloud deployment and enablement

The GenAI platform was deployed in a secure cloud environment optimized for performance and scalability. Automation and modern infrastructure practices ensured the platform could scale efficiently as demand grew. Marlabs also supported user onboarding and enablement to help teams adopt the platform quickly and effectively, accelerating time to value.

Results

The GenAI platform enabled the client to securely leverage generative AI across its operations while maintaining strict governance. AI-powered summarization and search accelerated access to insights and reduced repetitive manual work. Built-in controls mitigated risk and ensured compliance, while the scalable architecture positioned the organization to expand AI use confidently across the enterprise.

Impact

• Improved operational efficiency through faster summarization and insight retrieval.
• Reduced costs by minimizing manual content creation and documentation effort.
• Lowered risk with embedded governance that reduced the likelihood of data breaches.
• Faster decision-making enabled by rapid access to relevant, summarized information.
• Scalable AI foundation that supports enterprise-wide adoption across departments.
• Enhanced search accuracy through meaning-based search capabilities.

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