Home Case Studies From Complex UI to Conversational Control. An Agentic Assistant for Enterprise Digital Twin Platform

From Complex UI to Conversational Control. An Agentic Assistant for Enterprise Digital Twin Platform

A global geospatial leader

The interface simplified access to platform functionality, reducing user friction and shortening onboarding time.

Meet our client

Client:

A global geospatial leader

Industry:

Software & Technology

Market:

USA

Technology:

LLM

Client’s Challenge

The client sought to improve the day-to-day usability of its enterprise digital twin platform. While the underlying system offered robust functionality, users faced friction due to a complex interface and fragmented navigation. Accessing information across documents and services required manual effort, increasing onboarding time and reducing overall productivity.

Our Solution

We designed and implemented an agentic, conversational assistant tightly integrated with the platform ecosystem. The solution provides natural-language access to platform data and services, leveraging Elasticsearch for search and gRPC-based integrations with backend systems. This architecture reduces dependence on complex UI flows while preserving secure, scalable access to core platform capabilities.

Client’s Benefits

The interface simplified access to platform functionality, reducing user friction and shortening onboarding time. In addition, the solution established a robust technical foundation for extending agent-based and further automation capabilities.

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