Our commitments, your guarantees.

Because that is exactly where everything is decided. Seven in ten AI projects fail, and rarely because of the technology. The real culprit is a botched initial framing: the wrong use cases, poorly qualified data, misunderstood processes.

Our consulting background taught us one thing: a rigorous audit saves months later. We map the processes, audit the existing data and systems, and identify the highest-impact business levers before any deployment. Without that upfront work, you ship convincing demos that never reach production.

That is often where the difference is made between a marginal gain and a step change in performance. Automating an inefficient process just speeds up its flaws: the AI then produces, faster, what you should have stopped producing.

During the audit, every candidate process is first taken apart (redundant steps, duplicates, needless approvals), then simplified, and only then automated. That redesign is what opens the gap between two comparable organisations, far more than the choice of tools.

Predictive AI opens up a much wider field than people imagine. A few concrete examples we deploy:

• Industrial predictive maintenance: anticipating machine failures from sensor signatures and behavioural drift, to cut unplanned downtime.
• Anomaly detection: product quality, fraud, security, weak signals in operational flows.
• Scoring: customers (conversion likelihood, attrition), risk (credit, operational), sales opportunities.
• Demand forecasting: optimising planning, inventory and resources.

Here too, the audit decides which models to install: we only deploy a predictive model when the existing data justifies it.

That is the case for almost every company we work with, and it is exactly our job. We handle the configuration, the connection to your existing tools and the orchestration of the automations. Your teams learn to use AI on their own cases, without writing a line of code or any technical prerequisite.

No. Our approach is not about substitution. AI absorbs the repetitive, low-value tasks to free up time for analysis, customer relationships, decisions and creativity.

In practice, your teams refocus on high-value work, where they make the difference. It is a way to augment teams, not a headcount-reduction programme.

A general-purpose model, however capable, knows neither your processes nor your data. We configure it for your business, connect it to your tools, and build the automations that run without human intervention, on your data, your processes and your KPIs.

Most organisations use AI at 10% of its potential. Our role is to unlock the remaining 90%, starting from a rigorous framing of the use cases where the lever is real.

The assessment is delivered quickly. The build phase then begins with a first operational deliverable (connected to your tools, usable by your teams), set to the validation pace you choose. On the most time-consuming processes, the first measurable results appear within the first weeks of use.

Data hosted in Europe. GDPR by design. We use the enterprise versions of the LLMs, never trained on your data. Zero Data Retention available. On request, we integrate on-premise or European sovereign models.

On method: controlled architectures, strict environment separation, anonymisation and pseudonymisation where required, full documentation of processing.

AI proposes, a human approves, on every critical flow. The level of oversight is sized to the business risk identified during the audit. Confidence thresholds are measured, adjustable and reported continuously on the dashboard. No irreversible decision is made without human control.

From small businesses (around fifteen people and up) to mid-market firms (300+). We work with two types of sponsor:

• Leaders of SMEs and mid-market firms who want to structure their AI roadmap with a partner who masters both the strategic and operational stakes.
• Operational leaders (CIO, COO, CHRO, CFO) looking for pragmatic expertise to identify, prioritise and deploy high-impact use cases.

The engagement format adapts to your maturity: a rapid audit, a scoped programme, a long-term engagement, or an outsourced AI Director. We size the budget together during the assessment.

The assessment is free. After that, the price depends on scope: it is set with you once we understand your processes. Our model, natively more efficient than traditional consulting, allows a more accessible rate for an equivalent standard. We work in validation stages, with payment aligned to progress and value delivered.

Our workstreams are framed by business KPIs agreed upfront: it is one of the assessment's deliverables. If we don't hit them, we adjust until we do. You own everything that gets built, and handover is included at the end of the engagement. You don't depend on us to run the solutions.