Challenge
A growing SaaS team needed to find why 30% of clients were stuck at production, before it cost them another quarter
The company was scaling fast, but something was quietly breaking in their delivery pipeline. Roughly 30% of new clients were getting stuck at the production stage, and lead times had grown from 5 to 15 days over six months. Nobody on the team had connected those two dots.
Operations managers kept pushing the vendor instead of escalating. Sales saw closed deals and moved on. Customer Success saw churn but couldn't trace the root cause. Each team had one piece of the puzzle. The full picture lived across CRM, vendor chats, and task trackers that nobody was cross-referencing.
By the time management noticed something was wrong, revenue was already leaking. But without a single view of the client lifecycle, they had no way to quantify the damage or identify the pattern.
Solution
Nerra AI connected CRM deal data with churn records across 90 days and surfaced the bottleneck automatically
Within days of connecting their tools, Nerra AI started mapping how the team actually operated: how deals flowed from Sales to Operations to CS, where handoffs were happening, and where data was getting lost.
The system cross-referenced deal stages, lead times, vendor communication, and churn records over a 90-day window. The pattern that emerged was clear: clients stuck at the production stage churned at 80%, and the bottleneck was a specific vendor relationship nobody was monitoring.
Nerra AI surfaced this as a critical signal with the full context attached: which clients were affected, the estimated revenue impact, the root cause in the vendor process, and recommended actions for Operations and Leadership.
Results
The team recovered $100K in identified revenue and restructured vendor management in two weeks
Leadership finally had a quantified problem and a specific action plan. The vendor management process was restructured within two weeks. Clients stuck in the pipeline were contacted proactively with clear communication about timelines.
More importantly, the team stopped reacting to churn after the fact and started catching bottlenecks while they were still cheap to fix.
- $100K in hidden revenue leaks identified and recovered
- Root cause escalated to leadership with full context
- Vendor management process restructured within 2 weeks
- Lead times reduced from 15 days back to 5 days