7 August 2026

AI Audit: Turning AI into a Performance Driver

AI is no longer an option for businesses—it’s a strategic imperative. According to McKinsey, 70% of companies believe that AI will have a significant impact on their business within three years. Yet, 85% of AI projects fail due to a lack of scope definition and prioritization (Gartner). In this context, how can you ensure that your AI investments generate a concrete and measurable return on investment (ROI)?

At DATASOLUTION, we have developed an AI audit service, designed to identify high-value-added opportunities, eliminate barriers to performance, and build a clear and realistic roadmap.

Why Conduct an AI Audit?

AI is revolutionizing support and operational functions:

Productivity gains: up to 40% increase in operational efficiency through the automation of repetitive tasks (Deloitte)
Fast ROI: Companies that have scaled up AI use cases see a return on investment in less than 12 months (PwC).

However, without a structured approach, AI projects can quickly become hidden costs rather than drivers of performance.

The Challenges Ahead

Identify relevant use cases: Avoid gimmicks and focus on solutions with measurable impact
Securing investments: ensuring that every euro spent on AI generates tangible value.
Scaling Solutions: Moving from Prototype to Sustainable Integration into Your Processes.
Comply with regulatory requirements

Our Approach

3 Steps to Get the Most Out of AI

Objective : To understand your ecosystem, your constraints, and your opportunities.
- Interviews with stakeholders to identify pain points and needs.
- Maturity Analysis : Assessment of your level of readiness (data, infrastructure, skills).
- Benchmark to identify relevant use cases in your industry.
Deliverables :
- Summary of interviews and pain points.
- Mapping of Actors and Stakeholders.
- Data & AI Maturity Assessment.
Example : For a sports retail company, we identify opportunities to reduce excess inventory and optimize margins by analyzing customer, inventory, and weather data.
Objective : to translate your business needs into priority AI use cases.
- Collaborative workshops to formalize use cases
- ROI Assessment for each use case
- Identification of prerequisites technical, data, and organizational
Deliverables :
- List of prioritized use cases.
- Preliminary ROI estimate.
- Surprise Report on Needs and Data.
Example : For a manufacturer of decorative products, we prioritize predictive maintenance and the optimization of logistics routes, with an estimated ROI of between 9 and 18 months.
Objective : to evaluate, challenge, and prioritize use cases in order to develop a realistic roadmap.
- Multi-criteria evaluation : technical feasibility, business impact, risks, strategic alignment.
- Challenge by an AI agent : Validation of technical and business assumptions.
- Cost Estimate : budget and high-level schedule.
Deliverables :
- Fact sheets for each use case.
- Technical Recommendations.
- Prioritized AI Roadmap.
Example : For a retail client, we prioritize personalizing the customer journey and dynamic price optimization, with an estimated short-term margin increase.

Why choose DATASOLUTION to conduct an AI audit?

Recognized expertise: Our AI architects and consulting directors combine technical skills with business acumen
A pragmatic approach: We prioritize solutions tailored to your specific context, using proven models and architectures.
Comprehensive support: from the audit through training and organizational change to the go-live.
Measurable ROI: Our clients see tangible results in less than 12 months.