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AI Agent · Customer Support

The support agent that resolves, not just deflects.

An AI customer support agent that answers from your real knowledge base, triages and routes tickets, reads sentiment, and takes live actions, then hands off to a human with full context. Omnichannel, 50+ languages, deployed in your cloud.

RAG-groundedanswers from your real knowledge base · timeline agreed after discovery · your data, your cloud

Ask for the current demo and a written list of built features and scoped additions. White-label uses a non-exclusive license on your infrastructure; Matrytech retains reusable base IP.

RAG-groundedAnswers from your knowledge base
50+Languages, auto-detected
OmnichannelWeb, WhatsApp, email & voice
SOC 2Deployed in your cloud
What it does

One agent. The whole support desk.

Not a widget that answers FAQs and gives up. A reasoning agent wired into your knowledge and your systems, so it can actually close the loop on a customer's problem.

01

RAG-grounded answers

Every reply is retrieved from your help center, docs and policies: cited, accurate, and never inventing a policy that doesn't exist.

  • Your knowledge base, not the model's guess
  • Citations on every answer
  • Confidence thresholds & fallbacks
02

Ticket triage & routing

Classifies intent, sets priority, tags, and routes to the right queue or agent, instantly, around the clock.

  • Intent & priority classification
  • Auto-tagging & queue routing
  • SLA-aware escalation
03

Live actions, not just answers

Looks up orders, issues refunds, updates accounts and files tickets through your APIs, with human-approval gates where you want them.

  • Order lookups & status changes
  • Refunds, cancellations, updates
  • Approval gates for sensitive actions
04

Sentiment & escalation

Reads frustration in real time and escalates before a customer churns, no more angry tickets sitting in a queue.

  • Real-time sentiment scoring
  • Automatic escalation triggers
  • VIP & churn-risk detection
05

Seamless human handoff

When it hands off, your agent gets the full transcript, the customer's intent and a suggested reply, no "please repeat your issue."

  • Full context transfer
  • Suggested replies for agents
  • Warm handoff, no repetition
06

Analytics & learning

Dashboards on resolution rate, CSAT and deflection, plus automatic detection of knowledge gaps to close.

  • Resolution, CSAT & deflection
  • Knowledge-gap detection
  • Continuous improvement loop
How it works

The architecture, end to end.

A customer message enters from any channel, the orchestrator reasons over your knowledge and tools, the agent resolves or hands off, and every interaction feeds observability. Nothing is a black box.

Deployed inside your cloud or a private VPC · Security and privacy controls scoped before launch · model-provider retention settings agreed before launch

Connects to

Plugs into the stack you already run.

Model-agnostic and integration-first. The agent meets your customers where they are and acts through the systems your team already lives in.

Web chat
iOS
Android
WhatsApp
Email
Slack
Zendesk
Salesforce
HubSpot
Intercom
Shopify
Freshdesk
GPT-4o
Claude
Llama 3
Pinecone
Twilio
Your VPC
Deployment

From knowledge base to live on a scoped timeline.

A fixed-scope rollout with a working pilot you can test against real tickets before you commit to production.

01

Discovery

We map your channels, ticket types, tools and success metrics, and agree the resolution targets that matter.

02

Connect

We ingest your knowledge base, wire up CRM, ticketing and order APIs, and stand up a pilot on real conversations.

03

Train & evaluate

Guardrails, tone, escalation rules and an eval harness that measures accuracy and hallucination before anything goes live.

04

Go live & monitor

Phased rollout with analytics wired in from day one. Optional retainer for tuning and knowledge-gap closure.

Enterprise-grade

Built to pass security review.

The difference between a demo and a deployment is everything that happens after go-live. This is built for the second one.

01 · Your data, your cloud

Runs inside your infrastructure, not ours.

Deploy in your VPC or cloud account. Confidentiality and PHI-related agreements scoped before launch, model-provider retention settings agreed before launch, field-level encryption for anything sensitive. Provider retention and model-training settings are confirmed before launch, and source-access rights are set out in your license.

02 · Grounded, measured, safe

It answers from your knowledge, and we prove it.

Every response is retrieved and cited, with confidence thresholds and human handoff when the agent isn't sure. We ship an evaluation harness that measures accuracy, hallucination rate and escalation quality, so you see the numbers before customers do, and every week after.

Frequently asked

The questions support leaders ask first.

Something missing? Email Prakash directly, same-day replies, no SDR layer.

How is this different from a chatbot?
A scripted chatbot follows decision trees and can only say what it was pre-programmed to. This agent uses LLMs with retrieval, tool use and memory, it reads your actual knowledge base, looks up live order and account data, takes real actions (refunds, status changes) and reasons across multiple steps. It resolves tickets end to end, not just routes them.
Will the agent make things up or hallucinate?
No. Every answer is grounded in your documented knowledge via retrieval-augmented generation, with citations and confidence thresholds. When the agent isn't sure, it asks a clarifying question or hands off to a human rather than guessing, and we ship an eval harness that measures hallucination rate before go-live.
Which channels and languages are supported?
Web and in-app chat, WhatsApp Business, email, Slack and major help-desk widgets, in 50+ languages with automatic detection. A customer can write in Spanish and your English knowledge base still answers correctly.
Is our data secure and where does it run?
Yes. We deploy inside your cloud or a private VPC, agree the required confidentiality and PHI documents before launch, use model-provider retention options verified before launch, and support SOC 2 and GDPR requirements. Provider retention and model-training settings are confirmed before launch.
How long does deployment take?
Pilot and production timing depends on your knowledge base, tool integrations, human handoff, analytics and evaluation needs. We agree the timeline after discovery and test a working pilot against real tickets before rollout.
How is it priced?
A fixed setup fee for integration and tuning, then a predictable monthly platform fee, not per-message billing that punishes you for growth. You own the deployment and the code. Book a demo for a scoped quote.
See it on your own data

Book a live demo Watch it resolve a real ticket.

A 30-minute working session, Prakash or a senior AI engineer, never an SDR. Bring a handful of real tickets and we'll show the agent handling them on your knowledge base.

Book a live demo →
Founder will reply personallyPrakash Singh · Matrytech

We reply within 1 business day — every conversation is NDA-protected.