You will be provided with a reference and some statements. Please determine whether each statement is 'supported', 'unsupported', or 'unknown' with respect to the reference. Please note:
First, assess whether the reference contains any valid content. If the reference contains no valid information, such as a 'page not found' message, then all statements should be considered 'unknown'.
If the reference is valid, for a given statement: if the facts or data it contains can be found entirely or partially within the reference, it is considered 'supported' (data accepts rounding); if all facts and data in the statement cannot be found in the reference, it is considered 'unsupported'.

You should return the result in a JSON list format, where each item in the list contains the statement's index and the judgment result, for example:
[
    {
        "idx": 1,
        "result": "supported"
    },
    {
        "idx": 2,
        "result": "unsupported"
    }
]

Below are the reference and statements:
<reference>
Nelen Schuurmans | IBM

Find out how Nelen & Schuurmans partnered with IBM to revolutionize the water management industry, boosting UX at scale with an AI-powered assistant.

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Case Studies

Nelen Schuurmans

Transforming user experience with gen AI

Nelen & Schuurmans streamlines software accessibility with IBM watsonx

From complexity to clarity

Nelen & Schuurmans, a consulting and IT service provider specializing in water management, is dedicated to providing innovative solutions to its clients. With a strong focus on research and development, the company aims to stay ahead of the curve in its industry through a commitment to delivering high-quality products and services that meet the evolving needs of its clients.

With this goal in mind, Nelen & Schuurmans sought to develop its latest software solution,
Rana Water Intelligence
. It is designed to make data-driven water analysis more accessible for non-technical users and simplify complex tools like hydrodynamic simulation software for new and less experienced users.

Water management processes are inherently complex, leading specialists to rely on a variety of tools and software for generations. However, these tools often mirror that complexity, resulting in steep learning curves. Users have no choice but to depend on senior colleagues or extensive prior experience to navigate data-driven water analysis effectively, rather than relying on technical documentation or other knowledge bases.

This gap has resulted in difficulties when scaling knowledge and skills across a client’s organization. That’s why Nelen & Schuurmans decided to utilize the
IBM® watsonx®
portfolio of AI products to develop a generative AI (gen AI) assistant. The intention was to bring the Rana user experience (UX) closer in line with how users develop skills in real-world practice.

265%

Capacity to host free-user interactions exceeded expectations by 265%

2,132%

The inference cost of paid code-generation prompt packs delivered an ROI of approximately 2,132%

Modernizing water management with IBM

Nelen & Schuurmans partnered with
IBM Ecosystem Engineering
to develop a pilot gen AI assistant to improve the accessibility and user-friendliness of Rana. The solution uses both
IBM watsonx.ai®
and
IBM watsonx.data®
to transform and index documentation, provide semantic search capabilities and generate API call code snippets for users. The assistant also allows users to interact with the system and receive helpful guidance and feedback on how to use the software both via the user interface and programmatically through generated code snippets.

The implementation process involved collaboration between Nelen & Schuurmans and IBM, with the pilot being scoped around a retrieval-augmented generation (RAG) solution architecture, using a semantic chunking methodology to refine Rana documentation for use with large language models (LLMs).

The pilot demonstrated the potential of gen AI technologies in improving the UX and driving business value for Nelen & Schuurmans, while also further developing its internal expertise in the gen AI domain.

Boosting UX at scale with an AI-powered assistant

Nelen & Schuurmans has successfully embarked on the journey to make a gen AI assistant for Rana by using watsonx.ai and watsonx.data. The pilot solution, co-created with IBM, provides users with relevant information and guidance throughout the hydrodynamics simulation modelling process. As a result, users now have an easier time completing tasks they had little prior experience with.

The solution also empowers Nelen & Schuurmans to provide additional avenues for a firm return on investment for both Rana and its gen AI features. According to Joep Grispen, director at Nelen & Schuurmans, “The tone of voice of the assistant matches our brand ideals, and the cost for the free daily interactions is sustainable.”

With this new addition to its technology stack, Nelen & Schuurmans is poised to drive greater profits and solidify its position as a domain pioneer. In the future, the company plans to perform larger sample user tests, incorporate a guardian model to prevent abuse or resource waste and define unique user permission groups for each collection.

About Nelen & Schuurmans

Nelen & Schuurmans
is a consultancy and IT company based in the Netherlands, specializing in water management and climate resilience solutions. The company operates globally, providing expertise to public and private sectors.

Founded with a mission to contribute to a healthy, safe and resilient environment, Nelen & Schuurmans equips decision-makers with cutting-edge data and consulting services.

Solution components

IBM® watsonx®

IBM watsonx.ai®

IBM watsonx.data®

IBM Ecosystem Engineering

Simplify complex workflows with AI

Discover how the IBM watsonx AI studio can help streamline your business processes and improve productivity.

Learn more about IBM watsonx

Contact us for a demo

Legal

© Copyright IBM Corporation 2025. IBM, the IBM logo, watsonx, watsonx.ai, and watsonx.data are trademarks or registered trademarks of IBM Corp., in the U.S. and/or other countries. This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates.

Client examples are presented as illustrations of how those clients have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary.
</reference>

<statements>
1. IBM reports numerous client case studies demonstrating watsonx‑driven transformation: NatWest’s AI‑powered mortgage support platform "Marge" using watsonx Assistant, Bouygues Telecom’s call‑center modernization handling over 800,000 calls per month with watsonx Assistant and reducing pre‑ and post‑call workloads by 30%, and Water Corporation’s SAP migration using watsonx Code Assistant and Red Hat Ansible Lightspeed to save roughly 1,500 hours annually and cut development costs by 30%. Additional cases include Artefact’s generative‑AI personas for a French bank, Nelen & Schuurmans’ gen‑AI assistant for water‑management software, Vodafone’s TOBi assistant enhanced with watsonx.ai, and EY’s AI‑driven tax compliance solution EY.aifor tax built on watsonx.ai and watsonx.data.
</statements>

Begin the assessment now. Output only the JSON list, without any conversational text or explanations.