AI Consulting Firm: Strategy and Deployment

Deploy AI to serve your operations

Finally, a new scientific revolution is ushering in a new era of economic growth: Artificial Intelligence.

Generative AI and Agentic AI, combined with traditional AI and new technologies, are powerful levers for competitiveness and business model transformation, serving an augmented human.

Yet AI is only at the first stage of its capabilities. This should push all of us to get on board now, at the risk of being quickly left behind.

And you, which AI do you need to transform your operations, your supply chain, your business models?

From strategic framing to operational deployment, at Citwell we support our clients with a Win-Win approach that engages your teams and creates differentiation.

Your challenges

Gain performance with AI

Drive Operational Efficiency (30% to 90% Productivity Gains)

Optimize processes and automate repetitive tasks, saving time and reducing errors.
Optimize your operations (production, transport, and logistics).
Improve yield by leveraging production machine sensors.

Integrating generative AI into tools (ERP, CRM, etc.) now enables intelligent automation and a significant improvement in operational efficiency.

Optimize resources and enhance the employee experience

Augment individuals and strengthen analytical capabilities.
Refocus people on higher value-added tasks.
Preserve and secure knowledge within the company.

The use of autonomous agents enables intelligent automation of business processes, transforming how work is organized.

Speed up and secure your decision-making

Accelerate strategic decision-making.
Improve sales forecasting.
Exploit real-time data to anticipate business trends.

Thanks to AI and data analysis, companies can simulate multiple scenarios, make their trade-offs more reliable, and take faster decisions that are better aligned with their performance objectives.

Improve customer experience and service

Communicate faster (virtual assistants and chatbots).
Provide real-time responses to customers.
Personalize your offering and better meet customer needs.

Real-time personalization of user journeys becomes possible thanks to AI data and generative AI, allowing each customer interaction to be tailored to their expectations.

Innovate and generate new services and revenue

Transform products into services.
Develop new offerings.

AI opens the door to new business models by making it easier to personalize offers, create innovative services, and leverage data as a growth driver.

Manage risks and prevent failures

Anticipate supplier failure risks (quality, delivery deadlines).
Anticipate breakdowns and improve maintenance.
Improve quality by predicting when defects might occur and defining preventive actions to avoid them.
Detect fraud and anomalies proactively.

Thanks to predictive analytics and real-time data processing, AI helps companies prevent incidents, reduce business interruptions, and make their processes more reliable.

Our convictions

5 tips for successful AI integration in your company

Leadership commitment is essential to set a clear vision and mobilize teams around AI deployment.

It is equally critical to build awareness across the organization so employees understand the stakes, adopt an innovation mindset, and actively contribute to the transformation. This approach enables smooth and sustainable AI adoption.

Any AI-driven transformation requires strong involvement from business teams. Their expertise and field knowledge are key to identifying and deploying high-value use cases aligned with real needs.

To ensure lasting engagement and adoption, a structured change management approach is required—addressing concerns, developing skills, and promoting new ways of working.

The AI roadmap must align with business priorities while remaining flexible enough to evolve with emerging needs and deliver tangible results quickly—avoiding a “tunnel effect.”

Beyond initial quick wins, it is essential to identify advanced, high-value use cases. This is the time to accelerate AI maturity with a roadmap that rethinks business models and creates true sources of differentiation.

AI governance is critical to secure every stage of development and deployment.

It ensures strong executive sponsorship, alignment with business needs, data quality, and model performance.

Without it, organizations face technical, operational, ethical, and regulatory risks—including those related to the AI Act.

AI should deliver value in an ethical and sustainable way, aligned with ESG considerations.

This means designing transparent, fair, and privacy-respecting systems while minimizing environmental impact.

Our solutions

Our solutions to support your AI projects

From strategic framing to operational deployment, our Win-Win approach both engages your teams and creates business differentiation. We also make you autonomous in deploying and using AI

Raising team awareness

AI enablement seminar to demystify artificial intelligence
Definition of the AI vision and guiding principles for responsible use
Identification and formalization of business challenges and priorities with business unit leaders

Identification of Generative and Agentic AI Use Cases

Use case ideation through field immersion, design thinking, and other approaches
Detailed definition of use cases
Use case prioritization and backlog development

Definition of an AI Roadmap

Development of the AI roadmap and the associated business transformation plan
Development of the technology roadmap, including the AI platform
Definition of governance and required capabilities

AI Implementation

Management and execution of the AI roadmap
Development of AI agents
Creation, training from Level 1 to Level 3 and coaching of an AI community

A question? A project?

Contact our consulting experts in Artificial Intelligence

Which AI use cases should I deploy in my company and what results, what returns on investment can I expect?

Where should I start an AI project and which skills do I need to leverage AI effectively?

How can I identify the best AI use cases for my company?

How can I encourage AI adoption within the company?

Alexandre Boucharlat

Partner

Alexandre leads the Digitalization practice at Citwell and brings 25 years of consulting experience. He has worked across multiple industries, delivering a wide range of business, IT, and digital transformation projects at various stages, including transformation planning, coaching, IT project management (ERP, CRM, HRIS, MES, PIM, PLM, WMS, e-procurement, e-business), and change management. He also supports clients on digital strategy, activation of AI & data use cases, development of IT and data master plans, and governance between business teams and IT. His approach integrates automation, data-driven decision-making, and the selection of technology solutions aligned with performance objectives.