The Agentic AI Customer Operations Platform

AI runs
Customer
Operations.

Humans supervise what matters.

84M MESSAGES IN PRODUCTION · DEPLOYABLE TO AIRGAPPED SOVEREIGN

Live · Mevrik AX
WhatsApp2.4k
Email1.1k
Instagram DM874
FB Messenger631
Web Chat978
SMS412
MEVRIKAI Agent
Resolved by AI92%
Human Escalated6%
Knowledge Learned2%
WHATSAPPDone

"Can you book me for Thursday at 3pm?"

Google Calendar · Appointment booked
Chapter 01 · The world changed

Customer experience became
too fast for the old systems.

Millions of conversations. Every channel. Every hour. The volume outgrew the humans available to run it.

WhatsApp
Email
Voice
Social
Web Chat
CRM
Knowledge
Tickets
ONE INTELLIGENT FLOW
Chapter 02 · The old model

Nine tools. One overloaded team.
No operating layer.

It looks structured — until volume arrives. Signals stall, data duplicates, and every escalation lands on the same people.

Helpdesk
CONNECTED
CRM
CONNECTED
Email
CONNECTED
Live Chat
CONNECTED
QA
CONNECTED
Analytics
CONNECTED
Knowledge
CONNECTED
Voice
CONNECTED
Workforce
CONNECTED
One human team
reading, deciding, clicking — ticket by ticket
0
IN QUEUE
Chapter 03 · The new model

This is Agentic Experience.

The operating model that was missing: AI runs the work in layers you can see — and humans hold authority over the moments that matter.

Conversation Streams
Every channel arrives as one stream
01
AI Workforce
Specialised agents run the work
02
Knowledge + Memory
Grounded answers, remembered context
03
Reasoning + Actions
Decisions become real outcomes in your systems
04
Human Supervision
People govern the moments that matter
05
Continuous Learning
Every resolution improves the next one
06
Chapter 04 · The Conversation Mesh

Watch one conversation
move through the system.

Channels feed AI agents. Knowledge grounds decisions. One flagged thread escalates to a human. Everything lands in Trace — and the system learns.

Customer conversations flow from every channel into the Mevrik AI workforce. Complex decisions escalate to human supervisors, every action is recorded in Trace, and each resolution improves the knowledge base.
ChannelsAI AgentsHuman SupervisionKnowledgeTraceLearning
Chapter 05 · AI Workforce

Not a chatbot.
A professional workforce.

Role-based agents with real responsibilities, operating states, and one supervisor path back to your team.

Support Agent
Resolves issues end-to-end
OPERATIONAL
Sales Agent
Qualifies, quotes, closes
OPERATIONAL
Voice Agent
Answers the phone in 70+ languages
OPERATIONAL
Collections Agent
Recovers revenue, respectfully
OPERATIONAL
Social Agent
Every comment and DM, handled
OPERATIONAL
Email Agent
Inbox zero, around the clock
OPERATIONAL
Knowledge Agent
Keeps every answer grounded
OPERATIONAL
Supervisor Agent
Routes exceptions to your team
OPERATIONAL
Chapter 06 · Mission Control

Supervision is a product surface. Not a promise.

Your team watches the live queue with native Listen, Whisper, Barge and Transfer. Escalation is a rule you write — low confidence, payout threshold, or simply “customer asks for a human.”

The AI does the work. The decision stays yours.

MISSION CONTROL · LIVE3 supervisors online
ListenWhisperBargeTransfer
LIVE CHAT
Card declined abroad
Banking
resolved · 1.8s ✓
WHATSAPP
Bill higher than usual
Utilities
resolved · 2.4s ✓
EMAIL
Activate int'l roaming
Telecom
resolved · 3.1s ✓
LIVE CHAT
Claim enquiry
Insurance
AI resolving…
MESSENGER
Move flight to Thursday
Airline
AI resolving…
rule: escalate on low confidence · payout > thresholdreflex · 1,128 learned today
Chapter 07 · One platform

Everything orbits
one governed core.

Twelve modules. No integrations tax between them — they were never separate products.

ConversationsEvery channel, one threadAI AgentsYour operating workforceKnowledgeGrounded, versioned truthContactsCustomers, rememberedTasksWork that leaves the chatInsightsOperations, measuredVoiceTelephony, nativeEmailFull inbox automationSocialComments, DMs, reviewsTraceEvery decision, replayableGovernancePolicy with teethIntegrationsMCP to your stackMevrik AXONE PLATFORM
Conversations
Every channel, one thread
AI Agents
Your operating workforce
Knowledge
Grounded, versioned truth
Contacts
Customers, remembered
Tasks
Work that leaves the chat
Insights
Operations, measured
Voice
Telephony, native
Email
Full inbox automation
Social
Comments, DMs, reviews
Trace
Every decision, replayable
Governance
Policy with teeth
Integrations
MCP to your stack
Chapter 08 · The Intelligence Layer

Behind the experience,
an engine you can read.

Model routing, retrieval, memory, guardrails and cost — every subsystem named, observable, and accountable. Built on Claude. Open to your model.

MODEL ROUTER
claude-sonnet · task-matched
KNOWLEDGE RETRIEVAL
RAG · 14ms median
MEMORY
customer context · persistent
CONTEXT CURATION
token budget · optimised
TOOLS
MCP · 200+ connectors
COST METER
per-conversation · live
HALLUCINATION CHECK
grounding gate · pass
OUTPUT SANITISER
brand + policy · enforced
Chapter 09 · The Trust Layer

Every action passes
through every gate.

Trust isn’t a badge row. It’s an operating layer the signal physically travels through — with a kill switch your team can always reach.

PII Redaction
Brand Voice
Hallucination Check
Human Approval
Kill Switch
Trace
Governance
SIGNAL IN TRANSIT — EVERY GATE, EVERY TIME
Chapter 10 · In your industry

The same mesh.
A different context.

Each industry runs the operating model its regulators, volumes and customers demand.

Banking
Approval gates + full Trace on every decision
Telecom
National-scale volume, voice-first
E-commerce
Orders, returns, recovery — automated
Insurance
FNOL to renewal, compliantly
Healthcare
Patient admin, GDPR-native
Government
Citizen service with audit evidence
Chapter 11 · One customer, end to end

Eight steps.
Zero handovers lost.

Follow a single issue through the entire platform — from the first message to the lesson it leaves behind.

01
Ask
“Card declined abroad”
02
Understand
intent + urgency parsed
03
Retrieve
policy + account context
04
Decide
unblock is safe · 94%
05
Approve
above threshold → human ✓
06
Resolve
card active again
07
Trace
full record archived
08
Learn
next case: no approval needed
Chapter 12 · In production

Proven where failure
isn’t an option.

A leading telecom provider in Asia runs Mevrik AX on-prem, on a sovereign LLM stack, inside its own data centre.

0M
messages handled
0.00M
cases resolved
0%
fully autonomous
100%
decisions in Trace
Customer conversations flow from every channel into the Mevrik AI workforce. Complex decisions escalate to human supervisors, every action is recorded in Trace, and each resolution improves the knowledge base.

The future of CX
is Agentic.

See Agentic Experience run on your own use case — live, in thirty minutes.

No card required · live on a shareable URL in under 5 minutes