AI Strategy Advisory
Turn AI into a strategic topic for your company
We support executives and leadership teams in SMEs and mid-market companies to embed AI in their strategic thinking, business priorities, and transformation trajectory.
They chose Catalia to step into the age of AI
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AI in the enterprise: before the tools, the structuring choices
You sense that artificial intelligence can have an impact on your company, but you don't want to move forward in the dark or launch scattered initiatives.
That is precisely where Catalia steps in. We support SMBs, mid-market companies, and large groups to clarify priorities, identify relevant AI use cases, and build a coherent AI strategy.
Level 1
Awareness & Realization
First framed uses
Level 2
Ownership & Experimentation
AI best practices
Level 3
Use structuring
Steering & ethics
Level 4
Management & Deployment
Integrated AI strategy
Level 5
Strategic Transformation
Lasting organizational transformation
Let's explore the field of possibilities
Setting up an enterprise AI strategy often raises more questions than answers at first. Should we start with certain trades? Test a few AI use cases? Train the teams? Frame the risks? Prioritize investments?
We support SMB, mid-market, and large enterprise leadership to turn these questions into clearer, more structured, more reassuring decisions. Our role: help you identify where artificial intelligence can create value and how to integrate it into your company strategy.
Where can AI create the most value in our company?
On which topics can AI produce a concrete impact: performance, productivity, quality, customer experience, competitive advantage, or transformation of certain trades?
Which trades, teams, or processes should we address first?
Should we start with support functions, marketing, HR, sales, customer service teams, or internal processes already identified as time-consuming?
What short-term results to expect, and what mid-term transformations to prepare?
What gains can be obtained quickly, and what deeper changes should the company anticipate in its organization, skills, or way of working?
What organizational, human, or operational risks should we anticipate?
How to integrate AI without creating confusion, rejection, tool dependency, or too wide a gap between leadership and teams?
How to avoid the gadget effect or the multiplication of tests without a clear direction?
How to make sure AI doesn't stay a succession of isolated trials, but becomes a steered topic, useful and aligned with company priorities?
What place should AI hold in the company's overall strategy?
Should AI be approached as a simple efficiency lever, an innovation topic, a transformation initiative, or a structuring axis to embed in the overall vision?
How to align strategic vision, business reality, and execution capacity?
How to converge leadership ambitions, field needs, and the company's actual means to build a credible, gradual AI trajectory?
Which skills must evolve to integrate AI sustainably?
How to support the teams, grow trade skills, and avoid a gap between ambitions and field reality?
How to steer AI over time without losing coherence?
Who decides, who tests, who frames, and how to prevent initiatives from going in multiple directions?
Want to know what AI consulting can bring to your company?
What you leave with after a Catalia engagement
Concrete, actionable deliverables to steer your AI transformation.
What you get
What our clients say about Catalia
Travailler avec Matthieu et son équipe est un vrai plaisir ! Une approche constructive et efficace m'a immédiatement convaincue. Je lui fais totalement confiance lors de nos collaborations, où sérieux et bienveillance se mêlent parfaitement. Un grand merci !
Ayant conscience que l'IA allait bousculer notre industrie, nous avons choisi très tôt de nous faire accompagner par les équipes de Catalia sur du conseil stratégique, de l'appropriation par les équipes et le déploiement technique afin de rester dans la course. L'accompagnement 360° par les équipes de Catalia permet vraiment un meilleur ROI, adapté à nos métiers et aux spécificités d'une PME.
Ayant conscience que l'IA allait bousculer notre industrie, nous avons choisi très tôt de nous faire accompagner par les équipes de Catalia sur du conseil stratégique, de l'appropriation par les équipes et le déploiement technique afin de rester dans la course. L'accompagnement 360° par les équipes de Catalia permet vraiment un meilleur ROI, adapté à nos métiers et aux spécificités d'une PME.
Start from strategy, not from the tool
We start from your company: its stakes, maturity, organization, and ambitions. Every mission follows a clear progression to turn reflection into action.
Understand your strategic stakes, organization, market, and business priorities. This first step sets a clear, shared diagnostic.
Assess your AI maturity, your organization's execution capacity, and the blocks to lift to progress effectively.
Analyze your trades, processes, and functions to identify where AI can have the most concrete impact on your performance and competitiveness.
Help leadership decide: which initiatives to launch, defer, or set aside. Secure decisions before committing resources, and align the executive committee around a common vision.
Co-build a trajectory fitted to your reality: 6, 12, or 24-month roadmap, articulation between awareness, experimentation, and deployment.
Extend the impact with Catalia
A consulting mission can extend into workshops, training, or deployment support. Each journey is built custom around your stakes and maturity.
Train
AI training
Build your teams' skills on the AI tools and methods fitted to their trade.
Discover
Deploy
Field support
Implement the first AI initiatives identified during the consulting mission.
Get in touchIt helps leadership understand AI's impacts on the company, identify priorities, arbitrate the right initiatives, and define a coherent trajectory.
Leaders, executive committees, and managers who want to treat AI as a company topic, with strategic vision rather than purely technical.
It is first a strategic framing and prioritization work. It can extend into operational support depending on your needs.
Yes. A consulting mission can extend into workshops, training, business-unit support, or deployment.
The questions we hear most
It's too early, we're not ready.
Exactly: laying the foundation (priority use cases, governance, internal policy) before committing tech budget avoids funding the wrong priorities. Our consulting is calibrated to start without rush.
Another consultant who delivers slides to digest.
Our approach is anchored in execution: decision workshops with your executive committee, actionable deliverables, 30/60/90-day follow-up. The test: what comes out of each session must be applied the week after.
We can do this in-house.
An internal team does very well over time. Our consulting brings perspective, market watch, and benchmarks from other SMBs and mid-market companies. Often: 3 months of support = 12 months of independent internal learning.
Need to step back on AI's place in your company?
We help SMBs and mid-market companies turn AI into a clear, useful, steerable strategic topic.