Real problems. Found automatically.

What Nerra AI found

• 30% of clients were stuck at the production stage. Lead time had grown from 5 to 15 days.
• Onboarding managers kept pushing the vendor instead of escalating. Clients received no communication about delays.
• Nerra AI connected CRM deal data with churn records across 90 days and surfaced the pattern automatically.

What no one saw

80% of these stuck clients eventually churned. The pattern was invisible because data lived across CRM, vendor chats, and task trackers. No single team owned the full picture — sales saw closed deals, operations saw vendor delays, and CS saw churn. Nobody connected the three.

Impact

$100K in lost revenue identified. Root cause escalated to leadership. Vendor management process restructured within two weeks.

What Nerra AI found

• Customers acquired by one account executive had a 62% churn rate within 90 days — compared to the 18% team average.
• Deal sizes were 40% smaller than team average. NPS scores from these customers were significantly lower.
• Nerra AI cross-referenced CRM acquisition data, NPS surveys, and churn records to identify the pattern.

What no one saw

The pattern was consistent across 90 days. This wasn't a single bad deal — it was a systematic problem in how this AE qualified prospects and handed off clients to Customer Success. CRM, NPS, and churn data lived in different tools, so no one connected the dots.

Impact

Revenue leak stopped. Deal qualification criteria updated. Sales-to-CS handoff process redesigned. The AE received targeted coaching based on specific data.

What Nerra AI found

• The company managed rental units using Google Drive, messy spreadsheets, and email threads. Every tenant question required digging through three different tools to find the answer.
• The manager's brain served as the integration layer between all systems. Simple work turned into full-time admin because data lived in five different places.
• Nerra AI connected to existing tools, learned what normal operations look like, and started surfacing exceptions automatically.

What no one saw

The team was constantly reacting instead of operating. Handoffs that didn't happen, steps taking 3x longer than usual, tenants who went silent — all invisible until someone manually checked every system.

Impact

Tenant requests answered in seconds via the knowledge base. Lease lifecycle tracked automatically with advance renewal signals. Document retrieval became instant. Weekly admin time cut by over 50% — not by working harder, but by only dealing with what actually needed attention.