Customer story
At peak, they simply could not pick up fast enough
Two sites, every department and one number that the whole city dials. What changed when the hold queue disappeared.
Figures in this story are illustrative while we finalise reporting with the practice. The workflows described are real. At peak, Bangalore Hospitals could not pick up fast enough. That was the whole problem, stated plainly, and no amount of process redesign was going to fix something that was fundamentally a capacity limit.
One published number served two hospitals and every department behind them. When several hundred people ring inside the same hour, a queue forms; when a queue forms, people hang up. Layer onto that three languages, and a routing decision that had to be made on every single call by someone interpreting a symptom description into a department, and the front desk was doing skilled work under time pressure all day.
Simultaneity was the change that mattered. Because every caller is answered at once regardless of how many arrive together, the peak stopped producing a queue at all - not a shorter one, none. The agent resolves the site, department and doctor from how the patient describes their need rather than asking them to navigate a menu, and it switches language to match the caller rather than making them switch.
The quieter benefit was write-back. Appointment details now land in the system as structured data instead of being noted on paper and entered later, which removed an entire category of transcription error nobody had been counting. Their figures are on the customer story; the underlying capability is described under appointment scheduling.
The fastest way to judge any of this is to be on the other end of a call. The demo will ring your phone in under a minute, or you can book fifteen minutes and we will run it against your own call flows. Other practices describe what changed for them, and patients describe the same calls from their side.
