Automatically supervise and managelarge telesales teams.
CallOps continuously hears every call, finds who needs help, gives each agent a personal action, rechecks improvement and turns what works into a stronger team playbook.
Keep your current phone and CRM workflow. Add an AI agent management system that runs every day.
The issue is concentrated in 18 calls and 3 agents. Call volume is stable; objections are not being advanced.
THE STRONGEST VALUE
CallOps is not strongest at analysing calls. It manages people, improves people and scales what works.
Supervise every agent
AI hears the whole team and applies one standard to quality, risk, sales stage and exceptions.
Give personal improvement actions
Each agent sees their own call evidence, specific advice and an action for the next conversation.
Upgrade the team playbook
Find effective language and repeated failure patterns, then turn individual experience into a reusable team method.
ONE MANAGEMENT LOOP
AI manages the routine. Leaders handle the exceptions.
CallOps does not simply turn audio into more text. It connects repetitive, fragmented management work into one daily loop.
KPI → PEOPLE → EVIDENCE
From company KPI to the agent and the actual call.
The top-line number only shows the outcome. CallOps keeps going: which business, team and agent created the gap, and what happened inside the calls.
CURRENT PRODUCT · MODULES WITH SCENARIOS
Not a feature list. One agent management system that runs every day.
Start with calls, KPI and real management problems. Every module maps to a daily situation and produces a next action for a supervisor or agent.
Call intelligence at scale
Supervisors cannot listen to the volume of daily calls. Long recordings and multiple languages widen the blind spot.
ONE DATASET, THREE ACTIONS
The same evidence gives each role a different action.
Owner / Business leader
What deserves my attention today?
See the company KPI, team gaps and key risks, then drill from an exception into the agent and the actual call.
PRODUCT VIEWS
Conclusion, evidence and action belong in one system.
These anonymised Product Views show how CallOps connects the call, AI judgement, supervisor action and next-day recheck.
MANAGEMENT THAT SCALES
Team growth should not require proportional supervisor growth.
AI handles repetitive, standardised management work that must happen every day. Human leaders keep control of complex judgement, sensitive action and people conversations.
See how an AI management layer works with one of your teams.
We start from real calls, KPI and management questions, then show how CallOps connects evidence, people and next action.