Our Client

The client is a leading global organization focused on economic development and investment advisory services, advancing private sector growth across emerging markets. Operating across multiple countries and regions worldwide, the organization provides investment, advisory, and asset management services that help create markets, mobilize capital, and drive sustainable economic development.

Its teams rely on extensive institutional knowledge, including country assessments, investment reviews, risk analyses, advisory reports, and meeting records, to support critical business decisions. As demand grew for faster, decision-ready insights, analysts spent significant time locating, reviewing, and synthesizing information across fragmented sources. Despite possessing deep expertise, country-level decision-making was often slowed by manual knowledge discovery and content creation processes. To support its digital transformation agenda, the organization sought a scalable way to transform institutional knowledge into faster, more informed business decisions.

With an aggressive product expansion strategy and an increasingly competitive marketplace, the organization sought to modernize its product delivery capabilities to bring new offerings to market faster while maintaining the quality and governance expected in a highly regulated industry.

Key Challenges

The client's knowledge creation and decision-support processes depended heavily on manual research, document review, and information synthesis across fragmented repositories. Valuable institutional knowledge existed across thousands of business artifacts, but accessing, reusing, and operationalizing that knowledge required considerable effort and slowed decision cycles.

For example, an investment analyst preparing a country briefing often needed to manually compile information from meeting summaries, economic assessments, risk analyses, and SME inputs before producing a decision-ready report. Similarly, leadership teams preparing board papers spent significant time gathering and validating information from multiple sources.

To accelerate knowledge-driven decision-making, the organization needed to:

• Eliminate inefficiencies caused by fragmented knowledge sources and duplicated effort
• Enable intelligent co-creation of business-ready content using existing institutional artifacts
• Support multiple business use cases through a scalable and configurable Generative AI platform
• Improve trust in AI-generated outputs through transparency, explainability, and governance controls
• Strengthen security, compliance, and access management for sensitive business information

LTM's Solution

LTM designed and implemented the AI-Powered Decision Intelligence Platform, a cloud-native solution that transforms institutional knowledge into business-ready insights.

Rather than manually searching and consolidating information across repositories, users can rapidly generate contextual outputs grounded in enterprise knowledge assets.

Key capabilities and business impact included:

• AI-powered knowledge synthesis that transformed insights from thousands of enterprise documents, assessments, reports, and records into decision-ready content in minutes
• Flexible AI orchestration and retrieval capabilities that delivered relevant, context-aware insights across business scenarios
• Natural language access to enterprise knowledge and data sources, accelerating information discovery and decision support

Before the transformation, analysts manually compiled information from multiple sources to prepare reports, assessments, and briefing materials. With the AI-Powered Decision Intelligence Platform, teams can co-create structured, decision-ready intelligence in minutes rather than days or weeks.

The transformation was not about generating content faster; it was about activating institutional knowledge in entirely new ways. LTM enabled business users to co-create decision-ready intelligence from enterprise knowledge assets, transforming institutional expertise into a scalable capability that accelerates decisions across the enterprise.

This shift represents Business Creativity in action, where human expertise and AI co-create decision intelligence at scale. Built as a configurable enterprise platform rather than a single-use AI application, the AI-Powered Decision Intelligence Platform established a reusable foundation for knowledge activation, governance, and trusted decision-making across business functions.

Business Outcomes

The transformation delivered measurable operational and strategic value across the organization:

• Accelerated decision-making by reducing critical business workflows from days and weeks to 1–5 minutes
• Improved productivity by automating knowledge synthesis across hundreds of enterprise documents and institutional artifacts.
• Enhanced stakeholder experience through faster access to contextual, decision-ready insights
• Increased consistency and decision quality with AI-generated outputs grounded in trusted enterprise knowledge
• Established enterprise-wide AI governance through traceability, transparency, and compliance controls
• Enabled scalable adoption across business, HR, and IT functions through a configurable AI platform
• Created a reusable foundation for future AI-driven knowledge management and decision-support initiatives

Conclusion

The implementation of this platform marked a shift from manual knowledge management to AI-powered decision intelligence, enabling faster decisions and greater operational efficiency across the enterprise.

With a scalable AI foundation now in place, the organization is positioned to extend knowledge-driven decision-making across new functions, geographies, and business processes. By continuously activating institutional knowledge through Generative AI, it can accelerate innovation, improve responsiveness, and create long-term value from one of its most powerful assets, enterprise expertise.