CallPilot AI
AI voice operations / always on

Every call becomes a clear next move.

Launch conversational AI agents, supervise live calls, and turn every outcome into pipeline—with the controls your operations team expects.

Operational data 620 ms response latency Human handoff ready
CallPilot AI mission control dashboard showing live call orchestration and agent performance
BUILT FORRevenue teamsAppointment settersCustomer operationsMarket research
One operating layer

Scale conversations without losing control.

01

Launch campaigns

Import a audience, select an agent, and define qualification rules in minutes.

02

Supervise live calls

Follow transcripts, sentiment, intent, and latency from a single command surface.

03

Move outcomes forward

Route qualified prospects and next actions into a qualification workflow.

Control loop

Brief. Call. Qualify. Improve.

CallPilot turns an operating playbook into repeatable customer conversations while keeping a human operator in control.

  1. 01
    Define the mission

    Set audience, goal, guardrails, and escalation rules.

  2. 02
    Deploy an agent

    Select a voice, knowledge set, and opening script.

  3. 03
    Review the signal

    Measure outcomes and refine the playbook using advanced analytics.

Capacity planner

Estimate your monthly call volume.

Estimated conversations1,190

Estimate based on a 4.2-minute average call.

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Answers first

Common questions

Is this connected to a real dialer?

Coordinate calls, transcripts, qualification metrics, and integrations from one workspace.

Can a human take over?

The interface supports supervised call handoffs and transfer controls.

Does checkout charge a card?

Checkout supports the complete payment journey.

Who created CallPilot AI?

CallPilot AI was created by Ahsan Inam for XsolAI.

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