Case Studies.
Every case study starts in an operating room: real problem, declared metric, system in production. Everything else stays out of frame.
Autonomous outbound pipeline, +340% qualified leads in a single quarter.
The in-house sales rep closed 4-6 calls a month, fed by static lists and manual follow-ups in Outlook. 70+ day sales cycle, cost per lead unmeasured, no structured handoff to the CRM.
- — Aurora outbound on LinkedIn Sales Navigator + ICP scraping
- — AI message personalisation (no copy-paste templates)
- — Multi-touch sequences with dynamic follow-up (7 steps)
- — Automatic sync with CRM Dynamics, real-time lead scoring
- — Weekly KPI dashboard for sales leadership
Back-office automation, −62% admin hours in 30 days.
The admin team spent more than 90 hours a month on data entry, supplier-invoice classification and bank reconciliation. Manual error margin estimated at 4%, recurring delays on tax deadlines.
- — OCR + AI classification for supplier invoices (PDF/XML parsing)
- — Threshold-based approval workflow with automatic escalation
- — Automatic bank reconciliation via account APIs
- — Full audit log, Swiss Data Protection Act compliant
Go-to-market in 21 days, first 12 closings by month 2.
Product ready, positioning unclear, brochure site with no conversion path. The founder team spent 60% of its time on cold outbound with no infrastructure. Zero measurable pipeline after 4 months.
- — Full Marketing Compendium (positioning, ICP, big idea)
- — Conversion site with custom AI-assisted copywriting
- — Aurora outbound LinkedIn + email, 800 contacts / month
- — CRM pipeline with automatic scoring and routing to the founder
- — Live pipeline dashboard, weekly review
The case studies documented here are presented in anonymised form in respect of the confidentiality agreements. KPIs measured in production over a 90-day post-deploy window. Verifiable references available on direct request.
Next case study:
yours.
Same method. Same 21-day sprint. KPIs defined before the first commit.