Agentmate AI | AI for Call Centers & Contact Centers
AI for Call Centers & Contact Centers

Every conversationmoves work forward

Reduce after-call work, expand QA coverage, and turn the voice of the customer into actions your team can execute—all within one workflow.

Voice AI  •   Conversation Intelligence  •   Call Center QA

Semi-realistic image of an Asian customer service agent wearing a headset in a naturally lit office
AI Wrap-Up Ready
The call ends. The work keeps moving.

Automatically summarize the conversation and what needs to happen next.

Follow-up Ready • QA 8/10
AI is analyzing the conversation
Returning customer callCase #A-1042 • Last contact: yesterday
AI Active

AI Conversation Summary

Next Actions

Check document status → Update customer → Log follow-up automatically

Reason for call

Case follow-up

Customer sentiment

Slightly concerned

QA Check

8 / 10
Call Center Operations

3 operational gaps slowing down your Call Center

Heavy after-call work. Limited QA coverage. Delayed insight. Agentmate AI connects all three so teams can see and act on the same conversation.

Operational gaps The problem is not how hard your team works. It is that information does not flow with the work.
Thai operations analyst reviewing customer conversation data Operations team working with conversation data
One conversation → next action
After-call work should not reduce the value of the conversation that just happened.

AI summarizes the wrap-up, extracts action items, and prepares data for system entry—reducing manual work and errors from repeated input.

Listen Understand Act
Manual Work → Auto Wrap-Up
Warning: Blind Spot

Some risks surface during the call not in the month-end report

Speech Analytics detects objections, risks, and critical moments in conversations so teams can act before they affect sales, service quality, or compliance.

Call Center agent speaking with a customer Live conversation
Conversation Risk Detected
Call #AM-2408 • Live Analysis
Customer: “If the price increases this much, are there any other options?”
Agent: “Then let me recommend a new package right away…”
Customer: “I’m still not sure. Let me think about it first.”
AI Signal The customer expressed concern about price, but the agent moved to a new offer too quickly.
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One workspace

One AI workflow connects every system your team needs

Agentmate AI connects Call Center systems, Voice AI, AI Quality Assurance, Coaching, and Business Applications so teams can work from the same conversation in one workspace.

Agentmate AI Workspace connecting Telephony, Voice AI, Intelligent Routing, QA & Compliance, Business Apps, and AI Coach & Insights
Before • During • After

Put AI to work at every stage of the conversation

From preparing context before the call and assisting agents during the conversation to wrap-up, QA, and coaching after the call.

Agent reviewing customer information before the conversation BeforePrepare context before the call
Agent speaking with a customer DuringStay focused on the customer
Agent continuing post-call work AfterWrap up and move work forward
Before the call

Know the context before answering

Surface caller details, previous cases, intent, and sentiment before the agent answers.

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Live Warning Example

Some moments need attention now—not after the call.

AI detects risk and compliance signals during the conversation so agents can address critical issues before the call moves on.

Suggested action Confirm the required disclosure using the standard script before continuing. Risk signal • Human-in-the-loop
Intelligent inbound journey

Route every call to the right resolution from the start

Intelligent Routing uses caller data, previous cases, intent, and sentiment to determine whether to resolve automatically or hand off to a human agent with the right context.

Automation
Human Handoff
01 • Incoming Call

Every call starts the same—but it does not have to end the same way.

Build context immediately from telephony and connected data.

Telephony / SIP → Conversation Context
Try Hover or Click each step to see how context flows from the incoming call to automation or a human agent.
AI Quality Assurance & AI Coaching

Expand Call Center QA without adding more work for supervisors

AI Quality Assurance expands coverage across call moments, QA checklists, and compliance while directing supervisors to the moments that actually need review and coaching.

Call Moments
AI detected a call moment The agent completed the greeting and verified customer information correctly.
Supervisor and team coaching from conversation data Human coaching
AI Coach
92

Recommendation:
The conversation opened well. Keep customer verification concise so the customer can feel that the team already has context and does not need to ask unnecessary repeat questions.

Checklist: Greeting ✓ • Customer Verification ✓ • Tone ✓
Conversation Intelligence

Every call becomes business data when conversations turn into insight

Conversation Intelligence and AI analyze intent, sentiment, topics, and call outcomes so Operations, QA, and Management can use the data for better decisions.

Operations team analyzing customer insight Operations insight
Conversation
Intelligence
Intent
Sentiment
Topic
Outcome
Action Item
Business impact

The outcome is not just faster calls. It is a smarter operation.

Reduce manual work, expand Call Center QA, and turn customer insight from every conversation into actions your team can use.

Agent efficiency

Reduce repetitive after-call work

AI summarizes conversations, extracts action items, and prepares wrap-ups so agents can focus on higher-value work.

AutoConversation Summary
AutoWrap-Up
AutoAction Items
Customer insight

See customer insight from every conversation

Speech Analytics and Conversation Intelligence analyze intent, sentiment, topics, and call outcomes at scale so teams can turn conversations into usable insight.

IntentWhy customers contact you
SentimentEmotion and signals
OutcomeCall outcome
QA & compliance

Expand QA coverage while keeping humans in the loop

AI QA expands coverage across QA checklists, call moments, and compliance while keeping human review for cases that require context.

QAConfigurable Checklist
RiskCompliance Signal
CoachCall Moments
Customer experience

Get customers to the right answer faster

Intelligent Routing and Pre-Call Insight reduce repeated questions and transfers while giving agents the context they need to take over smoothly.

RouteRoute to the right destination
ContextSee context before answering
AssistAssist agents during the call
Why AppMan

AI for Contact Centers has to work with real operations

AppMan designs AI workflows across operations, telephony, SIP, and business applications—with human-in-the-loop governance and end-to-end implementation.

Specialist working with the customer team
Design with your teamStart with real workflows and operations
Start with real operational problems
Design workflows around your operation
SIP / Telephony Integration
Business Application Integration
Human-in-the-loop
Enterprise Security Consideration
Request a demo

See how Agentmate AI fits your team’s workflow

Tell us how your team works. We’ll show where AI can reduce after-call work, expand QA, and turn every conversation into insight your team can act on.