Outbound Catalyst

Case study · AI sales productivity

Leexi.ai / leexi.ai

Building a scalable sales engine from day one.

Leexi.ai, an AI-notetaking platform for sales teams, needed a structured sales process and the tools to scale it. Within six months, a revamped strategy produced a strong pipeline and consistent SDR performance.

€720K

ARR pipeline generated

within six months, with consistent SDR performance

Client

Leexi.ai

CEO

Xavier Lombard

Stage

Early-stage startup

Buyer

Sales operations and leadership

Channels

SDR-driven outbound

Engagement

Automated Outbound and sales strategy

The Challenge

Four new SDRs, no process to run.

Leexi.ai was early-stage and lacked a structured sales process and materials. With four new SDRs joining, there was an urgent need for scripts, assets, and prospecting frameworks. The toolstack was underperforming, and the CRM limited what the team could do. Scripts and processes were inconsistent, and pipeline growth was limited.

The Solution

A playbook, the right tools, and sprint validation.

We reworked the SDR scripts and built frameworks for discovery and demo calls, then developed brochures, demo decks, and use cases to support outreach. A sprint-based culture let the team validate verticals in a 2 to 6 week window. We migrated from Pipedrive to HubSpot for better integration with tools like Lemlist and Overloop, and leveraged a network of sales leaders to book 20 initial meetings that refined the motion.

The Results

€720K

ARR pipeline generated

within six months, with consistent SDR performance

  • €720KARR pipeline generated in six months.
  • €15Kaverage deal size, with one €500K ARR opportunity.
  • 20initial meetings booked to refine the motion.
  • 2 to 6 wksto validate each new vertical via sprints.
Leexi.ai's rapid transformation in such a short period is impressive. The redefined sales approach, coupled with new tools and materials, gave our SDR team the structure and support they needed to hit their targets consistently.
XLXavier LombardCEO, Leexi.ai

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