# Converteo 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/converteo-vs-wavestone
Generated: 2026-09-20 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Converteo | Wavestone |
|---|---|---|
| Editorial score | 70.8/100 | 65.8/100 |
| Hourly rate | not published | not published |
| Team size | 250+ | 1000+ |
| Location | Paris, France | Paris, France |
| Founded | — | — |
| Last reviewed | 2026-08-05 | 2026-08-05 |
| Services | AI Consulting, AI Agents, AI Development, AI Marketing | AI Consulting, AI Development, AI Automation |
| Industries | E-commerce, Manufacturing | FinTech, Healthcare |

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

Sharlie, the voice agent behind Orange's Sosh brand, is the most completely documented build in this register, and the detail is the point.

Converteo committed to a voice-to-voice architecture in April 2024, before the model reached general availability, specifically to avoid a later migration off a speech-to-text pipeline—a decision that bought roughly one second of latency against three. Around thirty specialized agents hand off between themselves, escalate to a human, and act on Orange's catalog, billing and account systems rather than only answering. Validation was modeled on how call-center advisors are trained. Virtual clients replay conversations at volume against an LLM-as-a-judge scoring price accuracy and brand posture, and an AI-specific bug bounty ran with around forty white hackers before launch. It went to production on 16 March 2026 with a mechanism to stop it.

The rest of the library is a decade of measurement and pricing work with named clients: Carrefour, Leroy Merlin, L'Oréal, ENGIE, BUT, Picard, Arkema.

The caveat is that this depth is exceptional rather than typical—most of the other cases describe data and marketing engineering, not AI.

### Key strengths
- One engagement documented end to end, including the architecture decision, its latency cost, the evaluation rig and the kill switch—no other agency here publishes at that level
- Evaluation as a discipline rather than an afterthought: virtual clients, an LLM-as-a-judge scoring price accuracy and brand posture, and an AI bug bounty before exposure to customers
- Ten-plus named clients across retail, energy and industry, with the work described case by case rather than listed as logos

### Good to know
- Outside the voice-agent work, most published cases are data and marketing engineering—confirm which practice your engagement lands in
- No headcount, founding year or rates published; scale and price both have to be established in conversation

## 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 Converteo for:
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce / Manufacturing
- broader service offering — also covers AI Agents and AI Marketing
- a higher overall editorial score

Choose Wavestone for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Healthcare
- broader service offering — also covers AI Automation

## Questions buyers ask

### Which scores higher overall, Converteo or Wavestone?
Converteo scores 70.8/100, 5 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 Converteo and Wavestone?
Consider running parallel discovery briefs with Converteo 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.

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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