Growth Wave · AI Crew
AI agents that run in production, on data that holds.
Your competitors are deploying AI across their systems, CRM, ERP, internal tools. Most will fail, not because of the model, but because of the data underneath. We start where everyone skips ahead.
Why most AI projects fail
of enterprise AI projects fail for lack of adequate data infrastructure.
Source · RAND Corporation
The real bottleneck
Bad data is the #1 documented cause of failed AI projects.
It's not the model. AI agents amplify whatever they run on. Point one at a CRM full of duplicates, dead contacts and empty fields, and you've automated the errors, faster, at scale, with less friction to catch them. We start where everyone else skips: the data.
The cost of inaction
What dirty data quietly costs you.
per rep lost to fixing and entering CRM data instead of selling, 2.3 hrs/day.
Source · Optifai, B2B Sales Ops Benchmark 2025
of companies lose more than 10% of revenue a year to poor CRM data quality.
Source · Validity, State of CRM Data Health 2022
of reps already using AI agents say bad data is sabotaging their sales.
Source · Salesforce, State of Sales 2026
The framework
From a messy CRM to deployed AI agents. We walk the whole path.
Three poles, in order. Each one is the condition for the next. It all starts from your source of truth: a CRM, an ERP, or a custom app we build when no off-the-shelf tool fits.
Why us
We sit in the gap.
AI agencies don't have the commercial layer. Sales agencies don't have the AI layer. We have both: engineers who ship agents and automation, and people who've run B2B sales. We talk data to a developer, business to a VP Sales, and AI to both.
The sales layer
We've built and run B2B sales operations. We know what a pipeline, a forecast and a rep's day actually look like, so what we ship fits how you sell.
The AI layer
A Crew of engineers specialized in Claude, API, MCP, agent design, deploying in real B2B contexts, not demos.
And because we have run real operations, we deploy across sales as well as ops, support and the back-office functions of a mid-market company.
The Crew
The people behind the work.
A Crew led by three heads, data, operations and automation, backed by 10+ engineers specialized in the Claude API, MCP and agent design.
Raphaël Masson
Founder & Head of Data
Data strategy, CRM and AI-agent deployment for B2B sales teams.
Geoffrey Vidal
Head of Operations
Systems architecture, operational processes and support functions. Salesforce expert.
Thomas Alpa
Head of Automation
Automation systems and workflow orchestration across the CRM stack.
The agents
Three agents. A CRM that works for you.
Each agent owns one dimension of your CRM, continuously, with no manual upkeep.
SDR Agent
Qualify and follow up in under 60 seconds, 24/7.
Every inbound lead loses most of its conversion odds once first contact passes five minutes. The SDR agent responds in seconds, qualifies against your ICP, and books the meeting straight into the right rep's calendar.
Leads contacted within 5 minutes are far more likely to convert, most teams never hit that window.
Source · Harvard Business Review, The Short Life of Online Sales Leads
Data Agent
Your CRM stops degrading after the cleanup.
Data quality decays 34% a year without maintenance. The Data agent runs continuously: deduplication, enrichment of critical fields, job-change detection, validation at entry.
34% annual data-quality decay without active maintenance.
Source · WinPure, Data Quality Benchmark 2025
Pipeline Agent
Decisions on real, real-time data.
Automatic deal briefing before every call, pipeline updated without manual entry, reporting generated for management, alerts on stalled deals.
Reps spend 60% of their time on non-selling tasks.
Source · Salesforce, State of Sales 2026
These three agents cover the bulk of recurring commercial cases. Beyond the CRM, we build custom agents for ops, support and business functions, ERP included, on a base able to carry them. Every agent is built on Claude (Anthropic).
The scope
AI does not stop at sales.
Sales is our entry point because that is where data is most visible and most expensive when it is dirty. But the same method, govern, make reliable, then automate, applies to ops, support, finance and business tools. Wherever your data lives, ERP or in-house app, an agent can work, as long as the base holds.
Sales & CRM
Qualification, pipeline, reporting. Our home turf.
Ops & support
Tickets, back-office, cross-functional work. Where time leaks quietly.
ERP & business tools
Operational data, often the most structuring and the least used.
60% of reps' time is spent on non-selling tasks. · Salesforce, State of Sales 2026
Already deployed in
Claude API / MCP specialists
qualified B2B databases
CRM automations
contacts cleaned
The model
Claude expertise in production, without the consultancy-machine overhead.
A Crew of senior engineers specialized in Claude and agents in production, working value-based and project-based. The depth most consultancies can't match, without their layers of juniors, their inertia or their time-and-materials billing. We ship you a result, not man-days.
FAQ
Common questions.
It depends on your CRM. If it has never been structured, we start with governance. If the base is messy but the rules already exist, we start with the audit. The first call defines the entry point, you don't commit to the whole path up front.
No. An AI agent running on an unstructured base automates errors, not performance. Data and automation aren't optional steps, they're the conditions under which an agent is reliable. We'll tell you honestly what has to come first.
Salesforce and HubSpot primarily, but we adapt to any CRM, including in-house systems.
No. The CRM is our entry point because that is where dirty data costs the most, fastest. The same method applies to the ERP, business tools, and ops and support functions. We deploy an agent wherever data is governed and maintained.
Claude, by Anthropic, for all our agents. Our consultants are experts in the Claude API, MCP, and agent design, with a direct line to Anthropic's teams.
An NDA is signed before any engagement: your data is never shared, sold, or reused on other accounts. We sign a DPA on request and scope access to the minimum needed. Your data stays in the EU and processing is GDPR-compliant. Agents run on Anthropic's Claude API, which does not use your data to train its models.
An audit and a first production pass take a few weeks each. Governance and automation run over a quarter or two, depending on your processes, team size, and data maturity. We scope it precisely on the first call.
Case studies
They had the same problem. Before you.
Four real engagements, measured results. The sector, the problem and the key figure are visible here; the full method is available by leaving your email.
B2B Technology · Retail · Salesforce CRM
A Salesforce CRM covering most of the French retail market. Inconsistent data, duplicates never analyzed, campaigns sent blind.
Result
34% of accounts were duplicates
B2B Media · Risk intelligence
A decision-maker database built over years, that nearly 7 in 10 contacts could not be reached at. Unverified emails, no segmentation.
Result
70% invalid contacts · -80% bounce rate
Consulting firm · Finance & accounting placement · HubSpot CRM
Recognized expertise, zero acquisition process. Pipeline 100% dependent on the network. No qualified database, no inbound CRM flow.
Result
200+ qualified meetings generated
SaaS · Cybersecurity recruitment · Boond Manager CRM
A network of cyber consultants on one side, companies hiring on the other. The link between the two was made entirely by hand.
Result
10 to 15 h of manual prospecting saved per week
Commercial AI starts with clean data.
From a messy CRM to deployed AI agents, Growth Wave walks the whole path: data, automation, agents.
Clean data. A CRM that works for you.
Contact
Tell us where your data stands.
Describe your systems (CRM, ERP, in-house tools) and where you want AI to land. We reply within 24 hours with a straight read on where to start.