Results · Anonymized missions

Show, don't promise.

Four representative missions. For each one: the starting point, what I built, and what it changed in the client's numbers.

B2B SaaS company · 15 people

The outbound machine that fills the closers' calendar

The starting point

Two SDRs, gut-feel prospecting, hours lost every week figuring out who to contact. Classic cold campaigns plateaued around an 8% reply rate and the pipeline lived and died on bursts of effort.

What I built

  • Intent signal detection: sales hires, funding rounds, tool changes across target accounts
  • Automatic enrichment and scoring of every detected account (verified email and LinkedIn, priority score)
  • Multichannel LinkedIn + email sequences triggered by the signal, with behavior-based follow-ups
  • A simple dashboard: every morning the team sees who to contact and why

What changed

10–15 qualified leads / week40% reply rate on follow-ups (vs 8% before)+€240K pipeline in 4 months
The service behind this case: Outbound machine →
Events industry SMB · 30 people

No inbound lead falls through the cracks anymore

The starting point

Inbound leads lost in email inboxes, follow-ups done by hand whenever someone remembered. Many leads were not being called back in time.

What I built

  • Pipedrive restructured: one pipeline per offer, only useful fields, hygiene rules
  • Automatic routing of inbound leads to the right salesperson, with instant alerts
  • Automated email + SMS follow-ups triggered by prospect behavior, tone kept at hand-written level
  • Weekly reporting generated automatically for management

What changed

100% of leads handled-40% admin timeSales performance ×2Faster onboarding for new sales reps
The service behind this case: AI workflows →
Real estate group · 30,000 contacts

An unreadable CRM turned into the SDRs' favorite tool

The starting point

A 30,000-contact database piled up over years: duplicates, empty fields, no scoring. Impossible to know who to call first, and the SDR team spent more time sorting than selling.

What I built

  • Full deduplication with merge rules that preserve activity history
  • Database enrichment: verified contact details, company data, activity signals
  • A "business potential" score to prioritize calls
  • Working views per salesperson: everyone opens the CRM in the morning and knows what to do

What changed

SDR productivity ×32 hours back / day / rep30,000 usable contacts
The service behind this case: CRM cleanup →
Industrial mid-market company · On-site AI workshop

Two workshop days, six workflows in production

The starting point

A leadership team sold on AI, licenses purchased, and field teams that had changed nothing about their day-to-day three months later. The need: going from intention to tools that actually run.

What I built

  • Mapping of repetitive tasks with the teams: field reports, reporting, follow-ups
  • Two days of on-site workshop with 12 employees, on their real files
  • 6 workflows built and pushed to production during the session (auto reports, alerts, meeting prep)
  • Simple documentation left behind so the team can replicate the method

What changed

6 workflows in production3 hours back / week / technicianZero dependency after I left
The service behind this case: AI workshops →

Clients are anonymized by default: I only name a client with their written consent. The numbers come from their CRMs and I am happy to walk you through the details live.

Where to start: 30 minutes on what you cannot see.

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