Artificial Intelligence
Artificial intelligence has stopped being an experiment: it is an economic infrastructure. The competitive advantage belongs not to those who endure it, but to those who govern it. We help organizations integrate AI into real workflows, with method, training and solutions built around processes, not on top of them. And we apply it to ourselves first: we are the first leading consulting firm you can query directly from your AI assistant.
AI today
$185 bn
Alphabet's planned infrastructure investment in AI in 2026
82%
of Gen Z has already adopted AI chatbots
1 in 3
young people guided by AI in their purchasing decisions
33×
the energy efficiency gained by Google per query in 12 months
AI consulting: areas of practice
Process integration
AI inside real work, not alongside it.
We map workflows and identify where AI generates genuine value: content production, data analysis, repetitive operations. Then we integrate it into existing processes, without disrupting them, measuring the gain.
AI for content
More quality, not just more volume.
AI-assisted editorial workflows: research, drafts, optimization, format adaptation. With one firm principle: AI accelerates the work, people own the value.
Team training
Expertise stays in-house.
Practical programs on tools, prompts and workflows, built around your context: the team learns to use AI on their actual daily work, not on abstract examples.
Agents and automation
The agentic era has already begun.
From assistants that monitor the market to agents that execute multi-step tasks: we design reliable automations, with human oversight where it matters. We did it on ourselves first: we are the first leading consulting firm you can query from ChatGPT and Claude.
Towards agentic commerce (UCP)
Checkout is moving inside the conversation.
Agentic commerce protocols, UCP first among them, will bring purchases, orders and bookings inside AI assistants. We build the foundations today: impeccable product data, structured data, agentic readability of your website. So when the protocols reach your market, you will be ready, not chasing.
Governance and quality
Speed without control is a risk.
Usage guidelines, quality control, data management and confidentiality: AI adoption needs clear rules to generate value without exposing the organization.
Custom solutions
When the right tool doesn't exist, we build it.
We develop AI-based platforms and tools in-house: we have been doing this for years for our own work. If your process needs a dedicated solution, we design and build it.
Free tool
Is your website readable by AI?
Scan your site in seconds and find out whether AI assistants can read, understand and cite it: robots.txt, llms.txt, structured data and agent signals.
How we work
AI adoption does not start with tools: it starts with processes. Assessment first, then the use cases that truly matter, then integration in the field. And everything we propose is born from tests on ourselves: we try it first on our own tools and workflows, and we bring to our partners only what works.
01
Process assessment
We map workflows, competencies and data: where AI can generate real, measurable value, and how much. No tools before knowing where they are needed.
02
Priority use cases
We select interventions by return: the quick wins that free up time immediately, and the deeper transformations with the right horizon.
03
Integration and training
We integrate AI into existing processes and train the team to full independence. And we measure efficiency gains, not promises.
Compliance · AI Act
AI Act consulting
From 2 August 2026 the transparency obligations of the AI Act (Regulation EU 2024/1689) apply to those who use artificial intelligence. As a consulting firm specialized in the AI Act, we help companies and publishers understand which obligations actually concern them: mapping AI systems and roles (provider or deployer), disclosures for chatbots and generated content, marking of synthetic content, AI literacy training and governance. A concrete path, calibrated to real risk, with no alarmism or pointless compliance. For the full picture of the deadlines, read our deep dive EU AI Act: what changes from 2 August 2026.
Request the AI readiness assessment
A picture of how ready your organization is for AI: processes, competencies, opportunities and risks, with an adoption roadmap ordered by impact.
What this means for your sector
Frequently asked questions
Yes. We support companies and publishers in adapting to the AI Act: mapping AI systems and roles (provider or deployer), Article 50 transparency obligations (chatbots, generated content, deepfakes), marking of synthetic content, AI literacy and governance. A path proportionate to actual risk, with clear priorities ahead of 2 August 2026.
With processes, not tools. The first step is an assessment that maps workflows and identifies where AI generates measurable value: content production, analysis, repetitive activities. From there, a roadmap ordered by impact, starting with quick wins.
Our approach is co-intelligence: AI accelerates the work, people own the value. The best results come from trained teams that govern the tools, which is why training is part of every project.
Adoption always goes through governance: usage guidelines, quality control of outputs, data management and confidentiality protocols. We define the rules before turning on the tools.
Yes, end to end: defining which actions make sense to expose to assistants, developing the connector, security, consent management and publication in the official registries. We are the first leading consulting firm to have done it on itself: our connector is live and published in the official MCP registry.
UCP (Universal Commerce Protocol) is the open protocol, promoted by Google with the industry, that brings transactions inside AI agents: checkout, orders, bookings. The rollout started in English-speaking markets and does not cover every country yet: it is the right window to prepare the foundations, product data, structured data and agentic readability, without having to chase later.
Yes. We build AI-based platforms and tools in-house: we have been doing this for years for our own monitoring and analysis work. If your process requires a dedicated solution, we design and build it.
