SaaS Provider Increases Pipeline 24% with Regie.ai

A mid‑market SaaS company needed to grow its new‑logo pipeline by 25‑30% without expanding the SDR headcount. Manual sequencing, data enrichment, and outreach were time‑consuming, leading to high admi

📌Key Takeaways

1SaaS Provider Increases Pipeline 24% with Regie.ai addresses: A mid‑market SaaS company needed to grow its new‑logo pipeline by 25‑30% without expanding the SDR h...
2Implementation involves 4 key steps.
3Expected outcomes include Expected Outcome: Pipeline grew 24% year‑over‑year, delivering the equivalent of four to six extra SDRs without hiring; response rates increased by 30% and sales‑qualified leads rose by 22%..
4Recommended tools: regieai.

The Problem

The Solution

The company deployed Regie.ai’s Auto‑Pilot AI Agents to automate contact discovery, enrichment, and multi‑channel sequencing. Agents continuously scanned intent signals, prioritized high‑fit accounts, and generated personalized email, LinkedIn and call scripts. The AI Dialer executed parallel calls while the platform synced enriched data back to the CRM, providing reps with real‑time tasks for hot leads. Over five months the AI agents produced output equivalent to four‑to‑six additional SDRs, allowing the existing team to focus on high‑value conversations.

Implementation Steps

Understand the Challenge

Pro Tips:

•Document current pain points
•Identify key stakeholders
•Set success metrics

Configure the Solution

Pro Tips:

•Start with recommended settings
•Customize for your workflow
•Test with sample data

Deploy and Monitor

Implement the solution in your environment and monitor results.

Pro Tips:

•Start with a pilot group
•Track key metrics
•Gather user feedback

Optimize and Scale

Refine the implementation based on results and expand usage.

Pro Tips:

•Review performance weekly
•Iterate on configuration
•Document best practices

Expected Results

Expected Outcome

3-6 months

Pipeline grew 24% year‑over‑year, delivering the equivalent of four to six extra SDRs without hiring; response rates increased by 30% and sales‑qualified leads rose by 22%.

ROI & Benchmarks

Typical ROI

250-400%

within 6-12 months

Time Savings

50-70%

reduction in manual work

Payback Period

2-4 months

average time to ROI

Cost Savings

$40-80K annually

Output Increase

2-4x productivity increase

Implementation Complexity

Technical Requirements

Medium2-4 weeks typical timeline

Prerequisites:

•Requirements documentation
•Integration setup
•Team training

Change Management

Medium

Moderate adjustment required. Plan for team training and process updates.

Recommended Tools

regieai

Frequently Asked Questions

Implementation typically takes 2-4 weeks. Initial setup can be completed quickly, but full optimization and team adoption requires moderate adjustment. Most organizations see initial results within the first week.

Companies typically see 250-400% ROI within 6-12 months. Expected benefits include: 50-70% time reduction, $40-80K annually in cost savings, and 2-4x productivity increase output increase. Payback period averages 2-4 months.

Technical complexity is medium. Basic technical understanding helps, but most platforms offer guided setup and support. Key prerequisites include: Requirements documentation, Integration setup, Team training.

AI SDR augments rather than replaces humans. It handles 50-70% of repetitive tasks, allowing your team to focus on strategic work, relationship building, and complex problem-solving. The combination of AI automation + human expertise delivers the best results.

Track key metrics before and after implementation: (1) Time saved per task/workflow, (2) Output volume (saas provider increases pipeline 24% with regie.ai completed), (3) Quality scores (accuracy, engagement rates), (4) Cost per outcome, (5) Team satisfaction. Establish baseline metrics during week 1, then measure monthly progress.