Live call monitoring — active

The autopilot for
flawless voice AI calls

CallPilot watches every call in real-time. It detects issues, rates their severity, and triggers agentic AI to fix them — before the caller hangs up. No more silent failures.

Live Call — Study Abroad Query 2:34
Agent: What are the documents needed for visa application?
AI: You need your passport, photos, and bank statements.
ISSUE Incomplete — missing embassy-specific checklist requirement
AI: Auto-fix: Specifically, you'll need the official embassy checklist for your country. I can pull that up for you now.
90
Call Quality Score

Every call runs through the RLAIF layer

Five stages. One goal: calls that end better than they started.

01

Transcribe

Live STT converts voice to text in real-time. Every word captured, timestamped, ready for analysis.

02

Analyze

LLM-based analysis reads the transcript in context. Intent accuracy, info completeness, emotional state.

03

Detect

Issues are flagged and rated by severity. Wrong info, missed intent, sentiment dip, compliance risk.

04

Decide

Agentic AI makes the call: fix it, suppress it, or escalate. Judgment, not rules.

05

Fix & Learn

The response is corrected in real-time. Every call feeds back into the model — it gets smarter every day.

Real-time call quality repair visualization
Real-time repair

Real-time monitoring, zero lag

Issues detected and acted on within the same call. No post-call review lag. The fix happens while the caller is still on the line.

Severity-rated, intelligently triaged

Not every issue warrants interruption. CallPilot scores severity and only triggers fixes for calls that actually need it — avoiding the trap of over-correcting.

Autonomous agentic decision-making

The fix layer is an AI agent — it decides what to change, how to rephrase, and when to hand off. No hard-coded rules, no script-matching.

Compounds over time

Every call makes the next call better. RLAIF feedback loops mean CallPilot learns from every interaction — your call quality improves continuously without manual tuning.

AI quality analysis system

From silent failures to impossible quality

CallPilot makes AI voice calls that much more reliable that they become a competitive advantage, not a liability. For high-stakes verticals like study abroad, healthcare intake, and BPO — where one bad call costs a relationship — CallPilot is the difference between scaling and failing quietly.

100%
of calls monitored, not sampled
<2s
issue detection latency
∞
calls learned from, never repeated
AI operations dashboard
Live Operations

Voice AI has a quality problem. Not in the technology — the STT, LLM, and TTS pipelines are better than ever. The problem is what happens during the call when things go wrong and nobody's watching.

CallPilot is the layer that watches.

Build the AI that never lets a bad call end badly.