Artificial Intelligence Consulting
Artificial Intelligence & Data
Turning data & artificial intelligence into real business impact
How does Wavestone deliver AI consulting from strategy to implementation?
What AI consulting services does Wavestone provide?
How our Artificial Intelligence Consulting supports your business goals
- Wavestone identifies concrete AI applications within core business processes by working directly with business teams.
- Proofs of concept and demonstrators let users test selected AI use cases early.
- Performance and operational fit then show which use cases should be scaled.
- Proven solutions are integrated into everyday workflows, with roles and ways of working adapted accordingly.
- Wavestone helps organizations define AI and data ambitions that align with their business priorities.
- Initiatives are prioritized by expected benefits and feasibility.
- The result is an AI and data roadmap for sustainable growth.
- Wavestone designs data and AI operating models, including federated Data Offices that combine business ownership with shared governance.
- Clear responsibilities for data quality and access are part of every model.
- Responsible AI practices are embedded into how AI is developed and used.
- Governance is aligned with applicable regulations and security requirements.
- Wavestone assesses AI investments against their expected business value.
- The costs of deploying and running AI are monitored continuously.
- Model and architecture choices are optimized to meet business requirements at an appropriate cost.
- Clear accountability for AI spending makes the value delivered visible and trackable.
- Wavestone deploys enterprise-grade copilots such as M365 Copilot, GitHub Copilot and Gemini.
- AI-powered agents automate complex tasks, decision-making and customer interactions.
- Their impact on productivity and business performance is assessed before scaling.
- Organizations get support to adopt and scale copilots and agents securely and efficiently.
- Wavestone modernizes data architectures to support scalable AI adoption.
- MLOps, AI model monitoring and continuous learning pipelines keep models reliable in production.
- Cloud and hybrid infrastructures support real-time AI applications.
- Wavestone prepares employees and managers for changes to their work as AI is adopted.
- AI literacy programs and training are tailored to specific roles.
- Adoption is supported within everyday workflows, and actual usage is measured.
- The goal is a data-driven, AI-augmented workforce.
Talk to your local expert!
What makes an AI transformation successful?
Wavestone believes AI investment decisions should start with business value, ROI and disruption potential, with clear business ownership of outcomes.
In a fast-moving, vendor-driven market, managing costs and maintaining reversibility are key disciplines for mid-term resilience.
Scaling AI demands modern, interoperable and agent-ready architectures, where platform models and orchestration capabilities become strategic assets.
As AI structurally reshapes jobs and organizations, human value shifts from execution to judgment and trust, making workforce transformation a critical success factor.
Responsible, ethical and sustainable AI is not an option: it is a foundation for lasting trust and value
Why choose Wavestone for AI consulting?
Wavestone combines business, human and technological expertise to support AI transformation. Our global AI teams operate across the US, UK, France, Switzerland and Germany, supporting Fortune 500 clients with scalable, responsible AI.
- Our multidisciplinary teams master the specificities of many sectors and functions. Our experts bring a business perspective of the issues and data.
- Our global AI teams operate across the US, UK, France, Switzerland and Asia, supporting Fortune 500 clients with scalable, responsible AI.
- Our top-notch technological expertise is involved from the framing to the industrialization of your data transformation projects, including all the underlying issues (platforms, Cloud, architecture, security, etc.).
- Our operational know-how is embodied in the profiles of data scientists, engineers and data analysts. Our teams support you in the implementation of the recommendations made and the use cases identified, with the aim of increasing the maturity of your teams.
How does Wavestone engage with the data and AI ecosystem?
As an independent firm focused solely on consulting , Wavestone helps shape data use for large companies by staying current on industry trends, engaging in relevant debates, and monitoring emerging technologies.
While remaining independent, our teams continuously learn from industry-leading services and offerings. This has allowed us to build strong, trusted relationships with major technology partners.
Sustainability
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Our expert team for Artificial Intelligence Consulting
Connect with industry leaders
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Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. Are you ready to power your future together with us?
Wavestone joins datacraft, a leading community on Data & AI
datacraft, a leading independent community
datacraft is a learning & coworking Club for data scientists. It allows data scientists and data engineers to share best practices and train with their peers. datacraft enables cross-fertilization and helps accelerate the implementation of Data and Artificial Intelligence projects. The first base opened in February 2020 in Paris, gathering pioneer member companies. datacraft is also hosting 600+ high level data science researchers and freelancers in residence. Our mission is to contribute to an efficient and responsible use of data.
Wavestone & datacraft, the winning combo
By joining datacraft, Wavestone will benefit from the top-level expertise, network, and strike force of the Club’s members. Ghislain de Pierrefeu, Partner data & AI at Wavestone, explains: “Now, more than ever, we need to think collectively, to share solutions and their impacts, to think of the medium-term, the sovereignty, and the frugality, and thus draw all the value from the emulation which currently dominates the market”. Isabelle Hilali, CEO and founder of datacraft, adds: “Wavestone’s presence within the Club seemed obvious to us given how compatible our DNAs are as focused, responsible, and positive players in Data & AI transformation.”
In addition to sharing their own experience, Wavestone’s AI consultants will be able to compare their convictions and enrich their skills through contact with the best data scientists in the business, while at the same time making available first-rate expertise that is closely aligned with companies’ operational issues.
Explore our cross-sector expertise
What do Wavestone’s AI consulting services include?
Wavestone provides AI consulting across business transformation, AI and data strategy, data governance and AI trust, AI FinOps, copilots and autonomous AI agents, data and AI platforms, and workforce adoption.
Wavestone works with business teams to identify concrete AI applications in core processes, builds proofs of concept and demonstrators, and assesses performance and operational fit before deciding which solutions to scale.
Wavestone helps organizations select AI models and architectures for their use cases, establish high-quality and well-governed data, address security requirements and support user adoption. Proven solutions can then be integrated into everyday workflows.
Wavestone’s AI FinOps approach assesses AI investments against expected business value, monitors deployment and operating costs, and helps organizations choose models and architectures that meet business requirements at an appropriate cost.
Wavestone helps organizations deploy enterprise-grade copilots including M365 Copilot, GitHub Copilot and Gemini, as well as AI-powered agents. We also support MLOps, AI model monitoring, continuous-learning pipelines, and cloud and hybrid infrastructure.