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Enterprise

AI automation at the scale of your organization

Starting with a pilot on a limited scope validates real-world use without risk. And as everywhere, the human keeps the validation.

In-depth initial audit

Thorough analysis of your internal processes.

The audit starts from real processes, not the org chart: who does what, with which tools, and where work piles up. At organisation scale, the gain almost never comes from one isolated task but from a chain of manual steps between two departments.

Connected to your tools

Automations linked to your ERP, CRM and business tools.

The point isn't to add one more tool but to make information flow between the ones you already have. The technical feasibility of connecting to your ERP, CRM and business systems is checked during the audit, before any rollout commitment.

Dedicated support

A single point of contact throughout the project.

One person follows the project from scoping to rollout. That's what stops a cross-department topic from getting lost between business teams, IT and the supplier — the most common friction point on this kind of project.

Security & confidentiality

Data protection at the heart of the approach.

Processing, hosting and access constraints are set at the start and drive the architecture. They're discussed with the relevant teams from the audit onwards, so that no blocker is discovered at rollout time.

Progressive scale-up

Pilot on one department, then wider rollout.

Starting with a pilot on a narrow scope validates real usage without tying up the organisation. Wider rollout is only decided afterwards, based on what the pilot actually demonstrated — not on a projection.

Example projects
Automated onboarding Recurring HR answers Consolidated reporting Large-scale document processing
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