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Customer story

From greenfield to $700K+ in net-new pipeline. Here's how.

  • $741K+ net-new pipeline (direct + influenced) in year one
  • 108% achievement against the Stage-1 net-new pipeline target
  • 3x+ improvement in Call-to-Meeting rate over six months
  • 64 outbound agents running across 6 languages

How a global work management SaaS company built a net-new outbound engine across six languages — without adding headcount.

A greenfield motion, six languages, no new headcount

On paper, a team this size runs one motion well and lets the rest slide. The math doesn’t bend: a BDR can only research, write, sequence, and call so many people in a day. Layer on inbound MQL follow-up, pre-event registration drives, post-event recovery, seasonal offers, and account-level discovery, and the cracks show fast. Leads sit in queues. Event pipelines decay. Cold lists never get touched.

The team needed to:

  • Discover and enrich net-new ICP contacts and accounts they’d never touched before
  • Personalize outreach at volume — not at the cost of rep time
  • Run multi-channel cadences (call, email, LinkedIn) in six languages without spinning up dozens of language-specific agents
  • Consolidate the rep workflow so reps weren’t toggling between five tools to do their job
  • Tie booked meetings and pipeline back to specific outbound activity so leadership could measure ROI

We wanted a more automated approach for SMB… and a human-in-the-loop approach for enterprise and commercial.

— A customer at a global work management SaaS company

From scattered tools to one outbound engine

Five capabilities mapped directly to the team’s priorities for the year:

  • Automated net-new prospect and account discovery. AI agents autonomously surface and enrich ICP contacts inside greenfield accounts that had never been touched in the CRM.
  • Intent-based personalization at scale. Email opens and clicks, website engagement, and 1st/3rd-party signals dynamically reprioritize what each rep works next.
  • A unified, rep-friendly workflow. Calls, emails, and LinkedIn tasks live in a single workspace — replacing the daily tool-toggling tax.
  • Multilingual, multi-channel engagement. Six languages out of the box across email, LinkedIn, and parallel dialing — covering EMEA and the Americas.

Net-new pipeline as the success metric. Both teams aligned on Stage-1 net-new pipeline as the headline measure of success — putting outcomes, not activity counts, at the center of the partnership from day one.

The team deployed Regie’s full platform — AI Agents (SEP), Parallel Dialer, Enrichment, and Signals & Intent — and stood up 64 outbound agents covering Land (new-logo) and Expand (current-customer) motions, plus their first inbound agent and an EMEA call-blitz program.

Over time, they consolidated dramatically: building multi-language agents (a single agent handling English, French, and Spanish via prompting) so the team could manage fewer, more powerful agents instead of dozens of language-specific ones.

The numbers speak for themselves

  • Outbound agents running. Before Regie: 0. With Regie: 64 across 6 languages. Change: New baseline.
  • Net-new contacts touched. Before Regie: 0 (greenfield). With Regie: 154,000+ (across 54,000+ accounts). Change: New baseline.
  • Personalized emails sent. Before Regie: Manual, low volume. With Regie: 135,000+. Change: At-scale.
  • Calls completed. Before Regie: Limited tracking. With Regie: 160,000+. Change: At-scale.
  • LinkedIn tasks completed. Before Regie: Ad hoc. With Regie: 13,500+. Change: Systematized.
  • Meetings booked from outbound. Before Regie: Untracked. With Regie: 145+. Change: Direct attribution.
  • Opportunities created. With Regie: 45. Change: New baseline.
  • Stage-1 net-new pipeline target. With Regie: 108% achieved. Change: Goal exceeded.
  • Net-new pipeline (direct + influenced). With Regie: $741K+. Change: New baseline.

Connect rates climbed every month as the team tuned agents and Regie shipped data improvements. Call-to-Conversation moved from 37% (Jul–Oct) to 44% (Jan). Call-to-Meeting moved from 1.57% to 4.95% — more than 3x improvement in six months.

A standout proof point: a German-language agent booked a meeting with a senior decision-maker at a major DACH-region manufacturer just six days after launch.

Why it worked

Three things made the difference. A clear, mutually agreed-on success metric — Stage-1 net-new pipeline — focused both teams on the same outcome rather than vanity activity counts. Continuous tuning (phone-number waterfall improvements, verified phones, cooldown and cycle controls, and agent consolidation) drove the Call-to-Meeting rate up more than 3x in six months. And a real partnership — weekly syncs, executive alignment, and a shared product roadmap — turned customer feedback into shipped features like mailbox rotation, one-off task creation, AI call coaching, and custom intent.

On the strength of these results, the team expanded heading into year two — growing seats, adding parallel dialer capacity, and lining up pilots for Talent Acquisition and AE-led Land & Expand motions.

What this means for sales leaders

One platform, six languages

Multi-language agents collapse what used to be dozens of region-specific cadences into a handful of prompt-driven workflows that one team can actually manage.

Reps stop deciding, start executing

Automated discovery and enrichment turn untouched accounts into a working pipeline source — 154,000+ contacts surfaced across 54,000+ accounts in year one.

Outcomes beat activity

When the headline metric is Stage-1 net-new pipeline, every agent, every tuning cycle, and every weekly sync ladders to the number that matters.

Tuning compounds

Steady iteration on phones, signals, and agent design lifted Call-to-Meeting more than 3x in six months — gains a single config push could never deliver.

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