# Artefact vs Wavestone

> Two top-rated AI Consulting agencies in Paris. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/artefact-vs-wavestone
Generated: 2026-09-20 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Artefact | Wavestone |
|---|---|---|
| Editorial score | 74.8/100 | 65.8/100 |
| Hourly rate | not published | not published |
| Team size | 1000+ | 1000+ |
| Location | Paris, France | Paris, France |
| Founded | — | — |
| Last reviewed | 2026-08-05 | 2026-08-05 |
| Services | AI Consulting, AI Development, AI Automation, AI Agents | AI Consulting, AI Development, AI Automation |
| Industries | E-commerce, FinTech, Manufacturing | FinTech, Healthcare |

## Our take on Artefact
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

The Bpifrance engagement is the one to read first. Artefact took agentic AI from experiment to scale across 500 employees at a public investment bank, and what came out of it was not one assistant but more than 1,500 individual agents built by the business teams themselves. That is a different claim from most agentic case studies, which describe a system rather than an adoption curve.

Carrefour is the sharper commercial example: a conversational agent that produces a complete market study for a store opening in two minutes, work that previously took months, with a 15-point improvement in revenue-prediction accuracy alongside it. VINCI Airports runs across seventy sites, Nexans has a data and AI roadmap built on Databricks, and Burger King, FDJ United and Groupe Barrière each publish their own write-up.

More than a hundred further client pages sit behind those, which is the largest published body of work in this register.

The size cuts both ways. This is a 2,500-person firm across thirty-two offices, so the team you meet is not the team you get by default—ask who staffs the engagement and where they sit.

### Key strengths
- Agentic AI evidenced at adoption scale rather than pilot scale: 500 employees, then more than 1,500 agents emerging from the business itself
- Outcome figures published on the cases that carry them—two minutes for a market study, 15 points of revenue-prediction accuracy, seventy airports
- Over a hundred client pages published, so a buyer can find work in their own sector rather than accepting an analogue

### Good to know
- 2,500 people across thirty-two offices—confirm which office delivers, who is named on the team, and how much is subcontracted
- Many of the published cases carry no numbers at all; the strong ones are strong, but the portfolio is uneven on outcomes

## Our take on Wavestone
Reviewed 2026-08-05 by Gabor Kiss against published evidence.

Wavestone approaches AI from governance rather than from engineering, and for a regulated buyer that is the point rather than a limitation. The practice is built on DORA, NIS2, the EU AI Act and ISO 27001, with delivery attached to it.

The published work follows: generative AI replacing manual steps in document processing at the Helvetia Group, a use-case prioritization exercise in wealth and asset management, a unified data operating model for a healthcare group built for compliance as much as analysis, and GenAI-powered automation inside a service-desk transformation.

It also publishes something almost nobody in this market will: an average daily rate, €944. In a sector where rate discovery takes three meetings, that is worth more than another case study.

The weaker fit is a problem that is a model rather than a program. The deep technical builds in this register sit elsewhere, and nothing published here suggests Wavestone is competing for them.

### Key strengths
- Publishes an average daily rate of €944, which makes budgeting possible before the first meeting
- AI delivery attached to a real regulatory practice—DORA, NIS2, the EU AI Act, ISO 27001—rather than sold beside it
- A listed consultancy of 6,000-plus people, so capacity and continuity are not the risk they are with a boutique

### Good to know
- One named AI client (Helvetia) among several anonymized stories—ask for a reference inside your own regulatory perimeter
- The published AI work is governance, adoption and process rather than model building; check the split before scoping

## Which to choose
Choose Artefact for:
- disclosed specialization in E-commerce / Manufacturing
- broader service offering — also covers AI Agents
- a higher overall editorial score

Choose Wavestone for:
- disclosed specialization in Healthcare
- an overall editorial score of 65.8/100

## Questions buyers ask

### Which has more FinTech experience, Artefact or Wavestone?
Both agencies show documented FinTech work. Artefact has the broader industry stack overall, with disclosed experience in E-commerce, Manufacturing beyond their shared focus.

### Which scores higher overall, Artefact or Wavestone?
Artefact scores 74.8/100, 9 points higher than Wavestone at 65.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### When should I consider both Artefact and Wavestone?
Consider running parallel discovery briefs with Artefact and Wavestone if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

---
Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates