Your growth infrastructure, designed and implemented

Your revenue infrastructure, designed, implemented and AI-activated.

A structured 3–6 month engagement to build (from scratch or from your existing stack) a complete, modular and interoperable infrastructure. From data architecture and team alignment to AI-powered growth systems and agentic workflows.

Explore what’s next

This is for you

✓ Your Marketing, Sales and Product teams work independently

✓ Lead data disappears between systems or never gets followed up

✓ You have tools and data but no unified process connecting them

✓ Your CRM is a mess (eg. incomplete data, no automation)

✓ You're spending on marketing but can't track what drives revenue

✓ You're investing in AI but have no clean data infrastructure to build on

✓ You want growth systems that run autonomously, not just dashboards

Modular by design

CRM, automation and data governance built for regulated industries. Each component works independently and connects via API. No vendor lock-in.

Revenue-aligned architecture

Lead lifecycle mapping, handoff protocols, scoring models and cross-functional playbooks built around your actual conversion bottlenecks.

AI-ready from day one

Team training on data, compliance and automation included. AI and agentic layers added on a clean infrastructure foundation, not retrofitted.

Travel Tech

Liligo, travel metasearch platform, part of the eDreams ODIGEO Group. Engagement: customer support workflow automation and RevOps system build.

I reached out to Florian for his expertise in sales processes and his ability to translate his sharp vision of workflows into actionable operational steps.

Guillaume Rostand

Chief Marketing Officer · Liligo (eDreams ODIGEO Group)

85.7%Reduction in
repetitive tasks

60Weekly requests
automated

5h/weekFTE capacity reallocated
to high-value work

View RevOps case studies →

B2B SaaS

MySquad, RevOps platform. Engagement: sales process redesign, methodology implementation, and pipeline architecture.

This evolution was a major turning point for our sales team, as this new methodology and processes allowed us to exceed our sales targets.

Olivier Morelle

Chief Revenue Officer · MySquad

Sales targets
exceededNew processes delivered
above-target performance

New methodology
adoptedFull team transition
to structured sales process

Process transformation
completeMajor operational turning point
for the sales team

All client stories →

ESG & Credit Ratings

EthiFinance, Europe's leading ESG and credit rating agency. Engagement: marketing automation, digital product campaign architecture, and pipeline reporting.

My statistics have rocketed! For my digital products, my email campaigns have achieved an average open rate of 54.5% and a click-through rate of 30.7%.

Lotta Marchal

Sales Director Europe · EthiFinance

54.5%Average email open rate
on digital products

30.7%Click-through rate
on email campaigns

Pipeline metrics
rocketedAcross all digital
product campaigns

All client stories →

Travel Tech

Liligo, plateforme de méta-recherche de voyage, groupe eDreams ODIGEO. Mission : automatisation des workflows support client et construction du système RevOps.

J'ai fait appel à Florian pour son expertise dans les processus commerciaux et sa capacité à transformer une vision claire des workflows en étapes opérationnelles concrètes.

Guillaume Rostand

Chief Marketing Officer · Liligo (Groupe eDreams ODIGEO)

85,7%Réduction des
tâches répétitives

60Requêtes hebdomadaires
automatisées

5h/semCapacité FTE réallouée
aux tâches à haute valeur

Voir les études de cas RevOps →

B2B SaaS

MySquad, plateforme RevOps. Mission : refonte du processus commercial, implémentation de méthodologie et architecture pipeline.

Cette évolution a marqué un vrai tournant pour notre équipe commerciale. La nouvelle méthodologie et les nouveaux processus nous ont permis de dépasser nos objectifs de vente.

Olivier Morelle

Chief Revenue Officer · MySquad

Objectifs commerciaux
dépassésLes nouveaux processus ont livré
des performances au-delà des cibles

Nouvelle méthodologie
adoptéeTransition complète de l'équipe
vers un process structuré

Transformation
opérationnelle complèteTournant majeur
pour l'équipe commerciale

Toutes les histoires clients →

ESG & Notation de Crédit

EthiFinance, première agence européenne de notation ESG et de crédit. Mission : automatisation marketing, architecture de campagnes produits digitaux et reporting pipeline.

Mes statistiques ont décollé. Pour mes produits digitaux, mes campagnes email affichent un taux d'ouverture moyen de 54,5% et un taux de clic de 30,7%.

Lotta Marchal

Sales Director Europe · EthiFinance

54,5%Taux d'ouverture moyen
sur les produits digitaux

30,7%Taux de clic
sur les campagnes email

Métriques pipeline
en forte hausseSur l'ensemble des campagnes
produits digitaux

Toutes les histoires clients →

What you get

Tech stack audit & cleanup

CRM health check, marketing automation review, product analytics, identification of gaps and redundancies. Clear picture of what works, what's broken, what's missing.

AI readiness assessment included : I identify where agentic systems can be layered on your existing infrastructure.

System design & architecture

Ecosystem architecture blueprint, data governance frameworks, lead lifecycle mapping, handoff protocols, team alignment procedures. Complete documentation for implementation. Growth Ops layer designed alongside RevOps : acquisition funnels, experiment frameworks and AI scoring models documented.

Implementation & training

Ecosystem configuration, automation setup, unified metrics dashboards (RevOps reporting). Executive & team training on systems, data governance and workflows for sustainable adoption. AI and agentic workflow configuration included where infrastructure supports it.

AI is going from optional to native.

View Sample Work

RevOps Architecture - Project Timeline

Project Timeline

Phase 1: Tech Stack Audit Month 1

Phase 2: Process Design Months 2-3

Phase 3: Implementation Months 3-6

Engagement: Intensive project

Duration: 3-6 months

Full Methodology

A systematic modular approach.

From strategic diagnosis to operational transformation. Structured delivery in 3-6 months for an empowered autonomous team.

Schedule Discovery Call

What to expect

✓ Complete strategic documentation for implementation.

✓ Hands-on configuration and team training included.

✓ AI & agentic systems integrated where your infrastructure supports it

1. Tech stack audit (Month 1)

Health check of the ecosystem. Marketing automation review. Product integration analysis. Performance tests and flow inspections. Detection of technical flaws and leads leaks. Identification of gaps and redundancies.

Deliverable: Complete audit report with prioritized recommendations.

2. Process design (Months 2-3)

Lead lifecycle mapping. Handoff protocols. Team alignment procedures. Scoring models. Complete system architecture.

Deliverable: Ecosystem architecture blueprint + data governance frameworks.

Implementation (Months 3-6)

Ecosystem configuration. Automation setup. Dashboards RevOps (unified metrics). Executive & team training on systems and workflows.

Deliverable: Operational system + trained teams + ongoing optimization support.

Agentic Ops & AI-powered Growth

AI isn't an add-on. It's the infrastructure. RevOps gives you the data foundation. Growth Ops gives you the acquisition engine. Agentic Ops is what makes both run autonomously : AI systems that operate, monitor and optimize your revenue stack while your team focuses on strategy.

AI-powered lead qualification

Behavioral scoring, intent signals, firmographic enrichment: processed automatically. Your sales team receives ranked, context-rich leads. No manual triage.

Autonomous compliance monitoring

Regulatory changes (MiCA, AI Act, GDPR, ESMA) tracked in real-time by AI agents. Alerts routed to the right team before they become incidents.

Growth experiment automation

A/B tests, outbound sequences, content variants : designed, deployed and measured by AI-augmented workflows. Faster iteration, less manual coordination.

Your infrastructure is the bottleneck. Stop the revenue leak.

15 minutes to identify where your revenue system breaks and what it would take to fix it.

Schedule a Call

View RevOps Case Studies

Browse practical examples

Broken handoffs

Marketing generates leads. Sales says they're unqualified. Leads sit untouched for days. Your pipeline leaks revenue because nobody owns the space between Marketing and Sales.

Data chaos

Five tools. Five spreadsheets. The data is fragmented. Your CRM is running with empty fields. Nobody trusts the numbers. Management asks for pipeline metrics, and you spend 3 hours compiling them manually. It's an infrastructure problem.

Growth without visibility

You're running campaigns, testing channels, scaling outbound, but can't tell what's actually driving revenue. Growth Ops gives you the attribution layer to know what to double down on.

RevOps Architecture

Your teams work in silos. Align them to retain your deals.

RevOps data architecture consulting designs the modular infrastructure that connects CRM, marketing automation, billing, and customer success systems into a unified revenue engine for FinTech and B2B SaaS scale-ups (€5M–€30M ARR). This page outlines a structured 3–6 month implementation process — from data architecture and AI-powered scoring to CRM-independent building blocks and strategic governance.

Frequently Asked Questions

What is RevOps data architecture consulting?

RevOps data architecture consulting designs the data infrastructure that connects your CRM, marketing automation, billing, and customer success systems into a unified revenue engine. It ensures clean data flows, eliminates silos, and creates the foundation for accurate reporting, AI-powered scoring, and scalable automation — critical for FinTech and SaaS scale-ups between €5M and €30M ARR.

How does AI integrate into RevOps architecture?

AI integrates into RevOps at multiple layers: lead qualification and scoring (AI agents analyzing firmographic and intent signals), data enrichment (automated prospect research), pipeline forecasting (predictive models on CRM data), and workflow automation (AI-augmented processes for support, outbound, and reporting). The key is building modular data architecture first — AI performs only as well as the data infrastructure it sits on.

What does a 3–6 month RevOps implementation look like?

A typical implementation follows three phases. Months 1–2: diagnostic and data architecture design — auditing current systems, mapping data flows, and designing the target infrastructure. Months 2–4: building blocks deployment — implementing CRM-independent components (enrichment, scoring, analytics) with API-first connectivity. Months 4–6: AI systems and governance — layering AI agents, automation workflows, and monitoring dashboards on the clean infrastructure foundation.

Why build CRM-independent RevOps infrastructure?

CRM-independent architecture means your scoring models, enrichment logic, and analytics survive any platform change. Scale-ups outgrow CRMs, renegotiate contracts, or merge systems during funding rounds. Modular building blocks connected via APIs and webhooks ensure zero vendor lock-in — you can swap Salesforce for HubSpot without rebuilding your revenue intelligence layer.

What results does RevOps architecture deliver for scale-ups?

Based on implementations across European FinTech and SaaS scale-ups: 92% lead enrichment coverage, 3.2× improvement in lead-to-opportunity conversion, 47% cost reduction on outbound stacks, real-time executive dashboards, and CRM migration times reduced from 3–6 months to 3–4 weeks. The compounding effect is that clean data architecture makes every subsequent AI and automation investment more effective.

Updated February 2026 — reflects current modular RevOps architecture patterns and AI integration benchmarks

Based on 20+ RevOps implementations across European FinTech, SaaS, and financial services scale-ups

Research Insight: Scale-ups using modular RevOps building blocks reduce CRM migration risk by 80% and complete platform transitions in 3–4 weeks vs. 3–6 months for monolithic architectures — preserving business logic, scoring models, and enrichment workflows across any vendor change.

Benchmark Data: Companies implementing AI-integrated RevOps architecture see 3.2× higher lead-to-opportunity conversion and 47% annual cost savings on outbound stacks by right-sizing each component independently.

Le consulting en architecture data RevOps conçoit l'infrastructure modulaire qui connecte CRM, marketing automation, facturation et customer success en un moteur de revenus unifié pour scale-ups FinTech et SaaS B2B (5M€–30M€ ARR). Cette page présente un processus d'implémentation structuré en 3–6 mois — de l'architecture data et du scoring alimenté par l'IA aux building blocks CRM-indépendants et à la gouvernance stratégique.

Questions Fréquentes

Qu'est-ce que le consulting en architecture data RevOps ?

Le consulting en architecture data RevOps conçoit l'infrastructure de données qui connecte votre CRM, marketing automation, facturation et customer success en un moteur de revenus unifié. Il garantit des flux de données propres, élimine les silos et crée la fondation pour un reporting précis, un scoring alimenté par l'IA et une automatisation scalable — essentiel pour les scale-ups FinTech et SaaS entre 5M€ et 30M€ ARR.

Comment l'IA s'intègre-t-elle dans l'architecture RevOps ?

L'IA s'intègre au RevOps à plusieurs niveaux : qualification et scoring de leads (agents IA analysant signaux firmographiques et d'intent), enrichissement de données (recherche prospect automatisée), prévision de pipeline (modèles prédictifs sur données CRM) et automatisation de workflows (processus augmentés par l'IA pour support, outbound et reporting). L'essentiel est de construire d'abord l'architecture data modulaire — l'IA ne performe qu'à la hauteur de l'infrastructure data sur laquelle elle repose.

À quoi ressemble une implémentation RevOps en 3–6 mois ?

Une implémentation typique suit trois phases. Mois 1–2 : diagnostic et conception de l'architecture data — audit des systèmes, cartographie des flux de données, design de l'infrastructure cible. Mois 2–4 : déploiement des building blocks — implémentation de composants CRM-indépendants (enrichissement, scoring, analytics) avec connectivité API-first. Mois 4–6 : systèmes IA et gouvernance — superposition d'agents IA, workflows d'automatisation et dashboards de monitoring sur la fondation data propre.

Pourquoi construire une infrastructure RevOps CRM-indépendante ?

Une architecture CRM-indépendante signifie que vos modèles de scoring, logique d'enrichissement et analytics survivent à tout changement de plateforme. Les scale-ups dépassent leurs CRM, renégocient des contrats ou fusionnent des systèmes lors des levées de fonds. Des building blocks modulaires connectés via APIs et webhooks garantissent zéro vendor lock-in — vous pouvez passer de Salesforce à HubSpot sans reconstruire votre couche d'intelligence revenue.

Quels résultats l'architecture RevOps délivre-t-elle pour les scale-ups ?

Basé sur des implémentations dans des scale-ups européennes FinTech et SaaS : 92% de couverture d'enrichissement, 3,2× d'amélioration de conversion lead-to-opportunity, 47% de réduction des coûts outbound, dashboards exécutifs temps réel, et temps de migration CRM réduit de 3–6 mois à 3–4 semaines. L'effet composé : une architecture data propre rend chaque investissement IA et automatisation ultérieur plus efficace.

Mis à jour février 2026 — reflète les patterns actuels d'architecture RevOps modulaire et benchmarks d'intégration IA

Basé sur 20+ implémentations RevOps dans des scale-ups européennes FinTech, SaaS et services financiers

Insight Recherche : Les scale-ups utilisant des building blocks RevOps modulaires réduisent le risque de migration CRM de 80% et complètent les transitions de plateforme en 3–4 semaines vs. 3–6 mois pour les architectures monolithiques — préservant logique métier, modèles de scoring et workflows d'enrichissement.

Données Benchmark : Les entreprises implémentant une architecture RevOps intégrée IA constatent 3,2× plus de conversion lead-to-opportunity et 47% d'économies annuelles sur les stacks outbound en dimensionnant chaque composant indépendamment.