Lolerflow is a SaaS product with a small team and big ambitions. The founder was spending over 25 hours a week on go-to-market activities — prospecting, writing emails, creating content, tracking metrics. Something had to change.
The problem
Like many early-stage SaaS founders, Lolerflow's founder was wearing too many hats. The GTM workload was:
- Prospecting: 8 hours/week researching and qualifying leads
- Outreach: 6 hours/week writing and sending email sequences
- Content: 5 hours/week creating blog posts and social updates
- Reporting: 4 hours/week pulling data and building dashboards
- Monitoring: 2 hours/week tracking competitors and market trends
Total: 25+ hours per week on tasks that, while important, were largely repetitive.
The solution
VelaOps designed a 9-agent network for Lolerflow:
- Hunter — automated prospect research and qualification
- Mailer — personalised email sequences with automatic follow-ups
- Sparky — blog posts and social content in the brand voice
- Pulse — weekly performance dashboards
- Tracker — web analytics and conversion monitoring
- Watch — competitor and market intelligence
- Plus three supporting agents for data syncing, scheduling and quality assurance
The results
After two months of optimisation:
- 80% of GTM now runs autonomously
- The founder spends just 3–4 hours per week on strategic oversight
- Email open rates increased by 35% after AI-driven copy improvements
- Content output tripled without any drop in quality
Key takeaways
- Start with your biggest time sinks — that's where AI agents deliver the fastest ROI
- Expect a tuning period — the first 2–4 weeks involve calibration and optimisation
- Think of agents as a team — they work best as a coordinated network, not isolated tools
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