Skip to content
Growth Wave

Pillar 02 · Automation

A base that stays clean. Operations that run without manual upkeep.

Cleaning is a one-time event. Decay is continuous. Automation keeps your base current after the cleanup: deduplication, enrichment, job-change detection and dormant-contact alerts, with no manual upkeep. And when your processes outgrow what a CRM can do, we replace the pile of no-code scenarios with code that holds: Python, a centralized base, up to a custom app.

Mode
Continuous
Prerequisite
A governed base
Plugs into
Salesforce, HubSpot, ERP, custom base
Fit
B2B · mid-market

Why automation

Without automation, your CRM re-degrades.

A clean base is a snapshot. The day after the cleanup, decay starts again, unless something keeps it current.

34%

annual data-quality decay without active maintenance. Cleaning alone doesn't hold.

Source · WinPure, Data Quality Benchmark 2025

01

Re-decay after the cleanup

Without maintenance, a freshly cleaned base degrades within months.

02

Manual re-entry eats selling time

Reps patch the CRM by hand instead of working deals.

03

Contacts quietly go stale

People change jobs; records don't. Campaigns hit dead addresses.

04

Errors creep back in at entry

No validation at write time means duplicates and bad data re-accumulate.

The cost of inaction

Manual upkeep doesn't scale.

~500 hrs/yr

per rep lost to fixing and entering CRM data instead of selling, 2.3 hrs/day.

Source · Optifai, B2B Sales Ops Benchmark 2025

46%

of reps using AI agents say bad data is sabotaging their sales.

Source · Salesforce, State of Sales 2026

What we automate

The work that keeps a base alive, handled continuously.

  • Continuous sync with your data sources
  • Deduplication on write, duplicates caught before they land
  • Enrichment of critical fields, kept current
  • Job-change and company-move detection
  • Dormant-contact alerts before campaigns go out
  • Validation at entry, clean data in, not out

When it goes further

Beyond the CRM: the custom app.

Automate long enough and you hit the ceiling of no-code. Make and n8n end up sprawling in every direction: unreadable, fragile, impossible to evolve. At that point, we move to code. Python scripts orchestrated around a centralized base: more readable, more robust, and it opens up what comes next.

Internal dashboards

Steer on current data, not on an Excel export from three weeks ago.

Client portals

Give your clients clean access to their data, their deliverables, their status.

Centralized base

A single source of truth, built for your processes, when no off-the-shelf tool truly fits.

This is often where a company finally gets a system of record of its own: not a generic CRM, not an ERP it merely tolerates. A base built for how it actually works.

What we ship

A made-to-measure B2B portal, live.

For an industrial manufacturer selling through a network of installers, we replaced email-and-PDF ordering with a full web platform: client ordering, delivery tracking, invoices, support, and a management cockpit for the leadership team. Interactive demo, running live in your browser.

Interactive demo, best on desktop

This product mockup is built for a wide screen. Open the page on a desktop to switch between the client portal and the management cockpit and explore it live.

Methodology

How we build it.

01

Map the flows

1–2 weeks

Inventory data sources, systems and the touch points where data is created or changed.

02

Design the workflows

2 weeks

Define rules for sync, dedup, enrichment and alerts against your CRM Handbook.

03

Build & integrate

2–4 weeks

Implement the automations into your CRM and data stack, with safeguards and logging.

04

Monitor & tune

Continuous

Watch quality metrics, catch edge cases, adjust rules as your processes evolve.

The stack

Built on your stack, not against it.

We integrate where your data already lives, no rip-and-replace. The automation layer sits across your CRM, your data sources and orchestration.

  • CRM, ERP or custom base: Salesforce, HubSpot, Cegid, Sage, Odoo, or a base we build.
  • Data sources: enrichment providers and internal systems
  • Orchestration: scheduled and event-driven workflows
  • Observability: logs and quality metrics you can audit

What changes

Line by line.

Manual upkeep

  • The base decays 34% a year.
  • Reps re-enter and patch data by hand.
  • Stale contacts slip into campaigns.
  • Duplicates re-accumulate at entry.

Self-updating CRM

  • The base stays current, with no manual upkeep.
  • Reps spend their time selling.
  • Unreachable contacts are flagged before campaigns.
  • Duplicates are caught on write.

Already deployed in

ManufacturingFood & BeverageB2B ServicesDistribution
10+

Claude API / MCP specialists

300+

qualified B2B databases

500+

CRM automations

500,000+

contacts cleaned

Requirements

What it takes.

Prerequisite

A governed base

Automation maintains structure, it presupposes the Data pillar is in place.

Mode

Continuous

Runs in the background; you set the cadence and the guardrails.

Teams involved

RevOps · Data · IT

We work with the people who own the systems and the data.

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

01 · Data8 weeks

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

01 · Data1 year · 6 engagements

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

01 · Data / 02 · AutomationOngoing since 2026

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

02 · Automation / 03 · AI Agents2-month setup · ongoing

Next step: deploy agents on a base that holds.

With a clean base kept clean, AI agents finally have something reliable to run on.