Pillar 03 · AI Agents
AI agents that ship, and hold up in production.
Not POCs that die in a quarter. SDR, Data and Pipeline agents deployed into your CRM, built on Claude, running on a base that can actually support them. This is where the ROI lands, and why the first two pillars exist.
- Built on
- Claude (Anthropic)
- Deployed into
- Salesforce · HubSpot
- Coverage
- ~90% of recurring cases
- Prerequisite
- Clean, maintained data
Why most agent projects fail
An agent on a broken base automates the errors.
Reliability isn't a model problem, it's a data problem. An agent reproduces whatever it runs on, faster and at scale. That's why we don't sell agents first: we make sure the base is governed and maintained, then deploy on top of it.
response window before conversion odds drop sharply. Speed only helps if the data underneath is right.
Source · Harvard Business Review, The Short Life of Online Sales Leads
The agents
Three agents. A CRM that works for you.
Each owns one dimension of your commercial system, continuously, with no manual upkeep.
SDR Agent
Qualify and follow up in under 60 seconds, 24/7.
Responds in seconds, qualifies inbound against your ICP, and books the meeting straight into the right rep's calendar, every lead, every hour.
Most teams never hit the 5-minute window where conversion odds are highest.
Source · Harvard Business Review
Data Agent
Your base stops degrading after the cleanup.
Runs continuously: deduplication, enrichment of critical fields, job-change detection, validation at entry. The maintenance layer, automated.
34% annual data-quality decay without active maintenance.
Source · WinPure, Data Quality Benchmark 2025
Pipeline Agent
Decisions on real, real-time data.
Deal briefing before every call, pipeline updated without manual entry, management reporting generated, alerts on stalled deals.
Reps spend 60% of their time on non-selling tasks.
Source · Salesforce, State of Sales 2026
Coverage
These three agents cover around 90% of recurring B2B commercial cases.
For the remaining 10%, and for agents beyond the CRM (ops, support, domain-specific), we build custom, on a base that can actually carry them.
Beyond sales.
The same principle applies to support (first-line triage and response), ops (reconciliation, controls, follow-ups), and business tools connected to your ERP. We only deploy an agent where data is governed and maintained. The function changes, the rule does not.
Reliability
What has to be true for an agent to hold.
Governed data
Shared rules and a CRM Handbook mean the agent acts on consistent, well-defined objects.
Maintained data
Automation keeps the base current, so the agent isn't acting on stale records.
Scoped autonomy
Clear guardrails on what the agent can read and write, auditable, reversible, safe.
Ship and hold
We measure in production and tune. The goal is an agent that's still working in six months, not a demo.
Built on Claude
Specialized in Claude. Deployed in real B2B contexts.
All our agents are built on Claude, by Anthropic. Our Crew brings 10+ specialists in the Claude API, MCP and agent design, with a direct line to Anthropic's teams. We build on Claude for its reliability and precision in professional environments.
How we deploy
From use case to production.
Scope the use cases
1–2 weeksPick the agents and workflows with the clearest ROI on your pipeline and data.
Connect to the CRM
2 weeksIntegrate with Salesforce or HubSpot, with scoped read/write access and guardrails.
Build & evaluate
2–4 weeksImplement the agents on Claude, evaluate against real cases before they touch production.
Deploy & monitor
ContinuousShip to production, watch behavior, tune. The agent earns its place over time.
What changes
The base decides the outcome.
Agents on a broken base
- The agent amplifies existing errors at scale.
- Outputs can't be trusted, so no one relies on them.
- The POC quietly dies after a quarter.
Agents on a base that holds
- The agent automates performance, not errors.
- Outputs are reliable enough to act on.
- It's still running, and improving, months later.
Already deployed in
Claude API / MCP specialists
qualified B2B databases
CRM automations
contacts cleaned
Requirements
What it takes.
Prerequisite
Data + Automation
Agents presuppose a governed base that's kept clean. We'll be honest if you're not there yet.
Built on
Claude (Anthropic)
10+ specialists in the Claude API, MCP and agent design.
Deployed into
Salesforce · HubSpot
Or any CRM, including in-house systems.
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
Agents are the destination. The data is the road.
If your base isn't ready, we start there. Either way, the first call gives you a straight read on where you stand.