AI strategy
Clarify objectives, identify priorities and link AI to your operational challenges.
AI consulting: from AI audit to deployment.
AI is already transforming jobs, products and business models. ASphere helps organisations move from experiments to useful uses: define a vision aligned with their objectives, choose suitable technologies, prioritise use cases and build a realistic deployment plan. Our support combines technical expertise, business understanding and attention to governance, data security, GDPR and the AI Act. We measure the value created so that every project stays concrete, controlled and useful.
OUR SUPPORT
An intervention tailored to your situation.
Technology choices
Assess the relevant solutions, the available data and the conditions for a reliable deployment.
Deployment and governance
Structure implementation, indicators, responsibilities and rules of use.
Examples of use cases
Process automation
Reduce repetitive tasks and make operations more reliable through workflows and AI assistants adapted to each job.
Marketing and content
Produce, personalise and adapt text, images, emails, videos or voice, within a framework of human validation.
Data and decision-making
Use usage data, detect anomalies and make analysis easier to speed up decisions.
Customer relations and support
Deploy chatbots and internal assistants able to handle recurring requests and guide users.
AI for products
Identify the AI features that create measurable value for users and prioritise their integration.
AI AUDIT
Understand where AI can create value.
ASphere analyses your processes, tools, data, existing uses and risks, then brings out the priority use cases. You leave with a clear reading of the opportunities, the prerequisites and the expected gains, and a roadmap proportionate to the size of your organisation.
Who is the AI audit for?
The AI audit is for business owners, business and operations leaders, data and IT teams, as well as SMEs, mid-sized companies and growing organisations that want to take stock before investing or accelerating. It also suits organisations that have data or processes to improve but do not know where to start.
ASphere is registered with Bpifrance (the French public investment bank) to carry out fundable Diag Data IA assignments.
CASE STUDIESRATP Sanofi TF1 Crédit Agricole Kolibree CyberNano Kolibri Sinhouse AMC Group Easy Buziness Limited Lyssup International Winaxion SkreenPlay
Projects rooted in real uses.
Optimised planning of RER B repairs
Automated production of marketing content with AI
Audio analysis and intelligent indexing of video content
Automated fraud detection in life insurance
Product data analysis and improved user retention
Scientific decision support for R&D
Diagnostic assistance through image analysis
Automated customer service with AI
Internal and customer AI assistant for recurring answers
Portfolio optimisation under constraints
AI-assisted video and voice production
Automated generation of sales presentations
AI consulting for product and media strategy
HOW IT WORKS
An AI consulting assignment, step by step.
- Understand. Your objectives, processes, tools, data, existing uses and their risks: the AI audit takes stock.
- Prioritise. The use cases that create measurable value come first, with their prerequisites, the expected gains and a roadmap proportionate to your organisation.
- Choose. The suitable technologies, in light of the available solutions, your data and the conditions for a reliable deployment.
- Deploy and govern. Deployment plan, indicators, responsibilities and rules of use; data security, GDPR and the AI Act. The value created is measured.
FAQ
AI consulting and audit: your questions.
What does an artificial intelligence consulting assignment include?
It starts from your objectives: audit of your processes, tools, data and uses, choice of priority use cases and roadmap, technology choices, then deployment and governance (data security, GDPR, AI Act). The value created is measured, so that each project stays concrete. ASphere is registered with Bpifrance for carrying out fundable Diag Data IA assignments.