Generative AI Solution: From POC to scale in 6 weeks
Moving from POC to scale for your chatbot and agent projects
In a context where Generative AI is revolutionizing work methods, its successful integration relies on three fundamental pillars: appropriate technology, optimized data, and human support. We develop partnerships to ensure a comprehensive approach and ensure successful adoption of the solution:
Chosen AI Solution + Data Processing + Change Management
Our commitment: Transforming your Generative AI projects into concrete and lasting successes, from POC to large-scale deployment.
Your objectives
DEPLOY a high-performance AI solution
Implement a sovereign and secure solution that integrates seamlessly into your existing ecosystem, with an intelligent assistant combining RAG (Retrieval-Augmented Generation) and automation for impactful AI results
OPTIMIZE your data
Prepare and structure your knowledge to maximize AI effectiveness, ensuring accurate and relevant responses based on your internal documents
ACCELERATE adoption
Build an acculturation strategy adapted to your corporate culture to quickly integrate AI into your teams' daily practices and ensure effective adoption by users
Our approach
The Seequalis methodology is based on 4 key steps:
Ideation and diagnosis
This phase is essential for accurately identifying your needs and high-impact use cases:
• Analysis of your business challenges and identification of ONE priority use case with sufficient impact
• Assessment of technical feasibility and the state of your data
• Formalization of a shared vision for the project
Design and data preparation
This crucial step guarantees high-quality AI results:
• Adapting your data to use the defined AI model and obtaining "AI-ready" data
• Preparing and optimizing your database
• Configuring the AI model to precisely meet your needs and performing the necessary fine-tuning
Deployment and testing
Concrete implementation of the solution with a user-centric approach:
• Provision of the solution to a target population
• Testing of the prototype in real-life conditions
• Continuous monitoring of user feedback and adjustments to the model or data
Support and sustainability
Ensure sustainable adoption and scaling up:
• Training and operational support for the teams involved
• Tailored communication and sponsor engagement
• POC review and adjustments before large-scale deployment
Our unique added value
A Data-Driven (Knowledge Management) and User-centric (adoption management) expert in AI technologies and an expert in a French Generative AI solution, compliant with the AI Act and the requirements of CISOs