Use Case

Digital Assistant:
‍
Cost-effective AI independent
of modernization

Every hour lost hunting for scattered knowledge and every wasted LLM token has a price. The Digital Assistant, built on Squirro, minimizes both.

Illustration

Illustrative annual value

The Digital Assistant turns institutional knowledge into measurable value while making
Al use more efficient, focused, and cost effective.

Key assumptions

  • Less time searching, more time delivering
  • Lower LLM spend, same or better outcomes
  • Enterprise knowledge, secure, governed, and reusable
  • Value without disruption, independent of modernization

Value Summary

CHF ~7M

per year, for a 200-person delivery organization - combining knowledge-search and LLM token efficiency gains.

Key assumptions

  • Conservative productivity impact. Based on time saved from knowledge search and reuse
  • Token efficiency improvement. Reduction in unnecessary or repeated token usage
  • Combination of gains. Productivity and token efficiency benefits combined
FAQs

Frequently askes questions

Dive into our blog for in-depth analysis, industry trends, and practical guidance from our experts.

What does RMJ² actually do?
RMJ² helps organizations understand, preserve and modernize existing applications without forcing a complete rebuild. We start by capturing the knowledge around your applications, data, processes and dependencies, then use that understanding to identify and execute the right modernization steps.
What is the RMJ² Digital Assistant?
The Digital Assistant creates a current knowledge base for your applications by connecting information from sources such as source code, documentation, tickets, monitoring data and usage patterns. It gives teams faster access to the knowledge they need while also providing focused context for AI.
Do we need to start a modernization project to use the Digital Assistant?
No. The Digital Assistant delivers value independently of a modernization project. It can help preserve application knowledge, answer technical questions, support impact analysis and reduce time spent searching across disconnected sources. If modernization becomes a priority, that knowledge then provides a stronger starting point.
How does RMJ² reduce the risk of application modernization?
We avoid treating modernization as one large transformation. RMJ² works incrementally, starting with a clear understanding of the existing application and its dependencies. This makes it possible to preserve what still works, identify where change creates value and test each step before moving further.
Can RMJ² work with our existing applications, technologies and partners?
Yes. The approach is designed to work with what is already in place. RMJ² connects existing knowledge and systems rather than requiring everything to be replaced, and brings in specialist technologies and partners where they add value to a particular modernization step.
The Time is Now

Start with what you know.
Build toward what comes next.

Whether you are preserving critical application knowledge, planning modernization or preparing for a more autonomous future, RMJ² helps create the foundation for the next step.