EFFISCIANCE | AI Consulting for Science

AI CONSULTING: Define the Right AI Use Cases for Science

The global support offering to sustainably integrate AI into scientific practices

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Structuring the Use of AI in your Scientific Practices and Information Systems

With the rapid expansion of tools, platforms, and promises around Generative AI, it can be challenging to navigate without structured guidance.

Which use cases are truly relevant to your scientific activities? Which tools should you prioritize? How to secure practices and support teams over time?

With EFFISCIANCE, our teams support scientific organizations in clarifying, structuring and piloting the use of Generative AI, taking into account your operational, organizational, and technical constraints.

Objective: to lay a solid foundation with a structured AI audit, before any deployment.

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Tailored AI Consulting for Scientists

Our AI consulting team aims to transform an intention or an experiment into a structured, realistic and secure approach, perfectly aligned with your scientific challenges.

Diagram: Diagnosis, Identification, and Implementation to integrate AI

We work across:

Scientific use cases and operational practices,
Tools and information systems,
Organization and team adoption.

Each mission is fully tailored and developed in close collaboration with your teams.

Take Generative AI to the Next Level

Generative AI is a powerful driver of efficiency, quality, and scientific impact, when approached with rigor and method.

Through our EFFISCIANCE offer, our experts guide and support you step by step to:

Identify concrete value drivers,
Secure your uses and data,
Build a coherent integration roadmap.

To ensure measurable and sustainable results, our AI consulting approach is based on aclear and progressive approach, articulated in 3 steps:

1. AI DIAGNOSIS

We establish a shared understanding of your environment and the potential of Generative AI. We support you to:

Build a common foundation for understanding, through a structured introduction to Generative AI and its potential for transformation for your organization,
Audit your environment: processes, tools, constraints and expectations,
Develop a clear and factual mapping of your practices to build a relevant roadmap.

2. IDENTIFICATION

Based on the AI diagnostics, we work closely with your teams to identify concrete opportunities. This phase enable you to:

Identify the most relevant use cases, in collaboration with your teams,
Prioritize initiatives using an impact/complexity matrix, for a realistic and progressive approach,
Define the most appropriate tools, turnkey or custom-made, cloud or server…
Formalize a clear and actionable summary to guide decisions.

3. IMPLEMENTATION AND MANAGEMENT

We help you move from analysis to execution, without compromising control and sustainability. Concretely, we accompany you in:

Co-building a Generative AI integration roadmap tailored to your context,
Defining an adoption strategy, deployment phases, roles and responsibilities, required resources, and success indicators,
Monitoring of impacts and continuous optimization of systems.

OUR AMBITION

To make AI a true strategic driver of scientific performance, innovation, and institutional attractiveness, without compromising rigor, ethics, or quality.

Effi in a laboratory in front of scientific data charts

Looking to clarify your AI use cases and establish a methodological framework?

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Concrete and Actionable Deliverables

At the end of the consulting mission, you receive clear deliverables that can be directly leveraged by your teams:

Mapping of scientific challenges and information system,
AI Use Case Portfolio,
Generative AI integration roadmap,
Monitoring dashboard and continuous improvement KPIs.

What if these were yours?

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Case Study

Discover how DNDI structured the use of Generative AI within its scientific practices with EFFISCIANCE.

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THE STRATEGIC PARTNER OF SCIENTISTS

As a software distributor and systems integrator, RITME has supported the scientific community for over 35 years in digital transformation and research data valorization.