Numbers delivered, not promises

How our clients deploy AI agents that generate measurable impact, in weeks, not quarters. Every study details the problem, the approach and the real gains.

Book an audit
Internal GPTInfraVia Capital Partners
InfraVia Capital Partners

How InfraVia equipped 100+ staff with AI using Copilot and Perplexity Enterprise

A European Private Equity fund with €16B in AUM, 4 parallel strategies. We rolled out Copilot and Perplexity Enterprise to every team, trained all levels, and built around fifteen specialised agents and skills per function.

Private EquityMicrosoft CopilotPerplexity Enterprise
Read the study
Internal GPTNewfund
Newfund

How Newfund tooled its investment process with 6 specialised AI agents on Dust

An early-stage Venture Capital fund between Paris and Silicon Valley. 6 specialised Dust agents cover every dimension of deal analysis, from tech to exit, supporting investors and IC memo drafting.

Venture CapitalParis, Palo Alto6 Dust agents
Read the study
OpsGroupe Sprint
Groupe Sprint

Thousands of quotes processed monthly, no manual data entry

An industrial printer receiving thousands of PDF quotes per month, all processed by hand. AI extraction pipeline + ERP integration, operators freed from data entry.

Printing620 staffAI document extraction
Read the study
OpsNomination
Nomination

How Nomination runs millions of AI executions a year, from the edge to the core business

France's B2B data reference, 450,000 decision-makers and 100,000 companies tracked. Its data experts stay on verification, Tandem operates the AI pipelines and agents on n8n on a continuous retainer, at the scale of millions of executions.

B2B datan8nAI builder retainer
Read the study
OpsFPV Industries
FPV Industries

A PDF quote goes in, an ERP-ready file comes out

Industrial joinery, multi-leaf products, close to a thousand lines of business rules. An n8n workflow reads every quote, matches it to the catalogue and produces the ERP integration file in 30 seconds.

Industrial joineryn8nOCR and catalogue matching
Read the study
AuditCoulon
Coulon

A field audit to sort what can be automated from what must be reviewed

An estimating department copying hundreds of quote lines by hand and sorting dozens of emails a day. A few weeks of audit to prioritise the use cases and structure eighteen years of documents.

ConstructionAI auditAutopilot, Copilot, Hybrid
Read the study
OpsA national joinery player
A national joinery player

One form, a complete SEO article published as a draft in the CMS

Source research, on-brand writing, cover image, multi-entity publishing: eight manual steps reduced to a single form and three to five minutes of processing.

Joineryn8nAgentic SEO writing
Read the study
AuditMédident
Médident

A 15-day field audit, several costed use cases

A network of 22 dental centres, with practices that differ from one site to the next. Fifteen days alongside the teams to map the patient journey, spot the bottlenecks and prioritise use cases by volume and ROI.

HealthcareAI auditVoice agents
Read the study
OpsSantiane
Santiane

Part of the support desk automated, without health data leaving the perimeter

Imperfect scanned documents, regulatory deadlines to meet, health data that must not be exposed. A self-hosted workflow reads, verifies and routes incoming requests, automatically falling back to human review whenever a case leaves the standard path.

Health insuranceAI document extractionSovereign hosting
Read the study
AuditMoose Knuckles
Moose Knuckles

Three AI opportunities, quantified on the brand's own data

No AI in production and little visibility on where it would actually pay off. An audit run on the brand's own data, delivering three costed, sequenced, build-ready use cases.

Premium retailAI auditSupport, content, BI
Read the study
AdoptionDoctolib
Doctolib

From a handful of pioneers to 90 % building their own agents in three months

An AI agent platform already deployed at scale, but usage carried by a few. Three months on the ground to make a commercial organisation self-sufficient: more than 50 agents built by 20 people across 5 business teams.

HealthtechAI adoptionDust agents
Read the study

Concrete results, accelerated growth. Shall we talk?

Book a meeting