The Challenge
Orlando Auto Body operates multiple collision repair locations across Central Florida, handling hundreds of inbound calls every day from customers seeking estimates, status updates, and insurance coordination. Before CloudClaw, the team was flying blind.
Missed calls were leaking revenue. Without visibility into call patterns, staff couldn't tell which shifts were overwhelmed, which agents resolved calls on the first attempt, or how long customers waited before hanging up. Manual call reviews were too slow to be actionable, and hiring more coordinators was the only lever management knew how to pull.
Before vs. After CloudClaw
Manual, reactive operations
- No visibility into missed-call rate across locations
- Call reviews done manually, days after the fact
- Staff scheduling based on gut feel, not data
- No way to flag poor-quality interactions in real time
- Customer sentiment unknown until a complaint arrived
- Estimate follow-up tracked in spreadsheets
AI-driven, proactive operations
- Real-time missed-call alerts with follow-up triggers
- Automated call summaries and sentiment tagging
- AI identifies peak-volume windows for dynamic scheduling
- Instant flagging of escalation-worthy calls
- Sentiment trends surfaced in a daily digest
- Automated follow-up sequences for open estimates
The CloudClaw Solution
OAB deployed a call analytics agent directly on the CloudClaw platform using a pre-built connector for their existing phone system. Setup took under two hours. The agent ingests call metadata in real time, runs sentiment analysis, generates plain-English summaries, and pushes actionable alerts to the front-desk team via their existing communication tools.
A second agent handles estimate follow-up: when a customer receives an estimate but doesn't book, the agent monitors the window, surfaces the open lead to the right coordinator, and provides a ready-made re-engagement message. No new software for the staff to learn — just a notification that contains everything they need to close the deal.
Both agents run on CloudClaw's edge infrastructure with ARC credit-based billing, meaning OAB pays only for actual usage rather than a flat seat license inflated by idle capacity.
Results at 90 Days
CloudClaw gave us visibility we never had before. We can now see exactly where calls are falling through the cracks and fix it before the customer walks away. The setup was shockingly fast — our agent was live the same afternoon we signed up. The savings paid for itself in the first month.
Why CloudClaw
OAB evaluated several AI-powered call analytics tools before choosing CloudClaw. The deciding factors were deployment speed, the usage-based pricing model (no large annual commitment), and the ability to extend the platform with additional agents as new needs surfaced — without spinning up separate software subscriptions.
The ARC economy matters to a business like OAB. Rather than buying a per-seat license for every possible feature, they allocate ARC credits to the agents doing real work. When call volume is seasonal, spend scales accordingly. When they need to add a new capability, credits already in their account can fund it immediately.
Ready to transform your operations?
Deploy your first AI agent in minutes. No long-term contracts — pay only for what your agents actually do.