Actionable data. Meaningful use. Controlled deployment.
Have you identified ideas, launched pilot projects, or encountered challenges in moving to production? We can help you decide what to develop, using what data, and under what conditions.
AI Strategy & Use Case
Build your AI strategy based on your goals and your operational reality, and then choose which use cases to prioritize.
- Clarify your AI strategy and the business priorities it should support: operational efficiency, service quality, decision support, or the development of new offerings.
- Assess your maturity level: available data, tools, skills, and your teams’ ability to adopt new practices.
- Identify and prioritize use cases based on their expected value, feasibility, required investments, and dependencies.
- Select the initial initiatives, define responsibilities, and develop a roadmap that balances experimentation and deployment.
An AI strategy aligned with your business challenges, a portfolio of prioritized use cases, and a roadmap outlining the steps, resources, and responsibilities needed to take action.
Prepare the data
Verify that the necessary information is available, reliable, and usable by the relevant people and tools.
- Identify the sources, owners, and access rules.
- Examine the quality, coverage, and recency of the data.
- Define the controls, traceability, and data flows required for the use case.
A data analysis, priority corrections, and a documented test scope.
Test and Deploy
Test the solution in representative scenarios before expanding its use.
- Build a prototype and evaluate its responses, errors, and usefulness with users.
- Prepare for integration with existing tools, monitoring, and exception handling.
- Organize follow-up, maintenance, and training for the teams.
A test assessment, a reasoned decision to continue or adjust, followed by a deployment plan tailored to the results.
Applications Designed to Support Your Business Operations
The examples below are intended to help define the scope of a project. Their value and feasibility are assessed in your specific context.
Strategy & Transformation
Consolidation of project portfolio information, assistance with decision-making, and analysis of adoption feedback. Objective: to better inform managers and reduce repetitive follow-up tasks.
Finance & Performance
Detection of anomalies in invoices, assistance with variance analysis, and preparation of reporting notes. Objective: to focus human effort on analysis and exceptions.
Marketing & Customer Performance
Support for content structuring, analysis of user journeys, and alignment of marketing metrics. Objective: to better target initiatives and document their impact.
Custom Solutions
Business agents integrated into tools, automation of cross-functional processes, document analysis, or exploration of vision and predictive analytics: the technical choice depends on the specific use case to be addressed.
An expert to strengthen your team
Are you leading a project and looking for specialized expertise? The Competency Center assigns AI & Data consultants to your teams for a duration and scope defined jointly.
Managing and Protecting Your Data
Three key areas of governance and data protection.
Structuring the management of personal data
Assessing practices, standardizing rules across sites, and supporting teams in data protection.
Managing the data lifecycle
Scoping and deployment of a data erasure solution, review of governance, and support for technical and business teams.
Securing sensitive data
Strengthening security measures, managing data erasure, and integrating data protection with CRM and BI projects.
Customer Testimonials
They share their experiences with PALMER.
Take your AI strategy to the next level.
Let’s identify your priorities and the first use cases to implement.