NewMatrytech AI Studio is live โ€” build production-grade AI agents in weeks, not quarters.
โ€” AI Agent ยท Customer Support

The support agent that resolves โ€” not just deflects.

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

68%tickets auto-resolved ยท live in 2โ€“4 weeks ยท your data, your cloud
68%Tickets resolved without a human
50+Languages, auto-detected
2โ€“4 wksPilot to production
SOC 2Deployed in your cloud
โ€” 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.

โ€” 01

RAG-grounded answers

Every reply is retrieved from your help center, docs and policies โ€” 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
โ€” 02

Ticket triage & routing

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

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

Live actions, not just answers

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

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

Sentiment & escalation

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

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

Seamless human handoff

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

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

Analytics & learning

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

  • Resolution, CSAT & deflection
  • Knowledge-gap detection
  • Continuous improvement loop
โ€” 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 ยท SOC 2 & GDPR-ready ยท zero-retention model APIs

โ€” 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
โ€” Deployment

From knowledge base to live in weeks.

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

01

Discovery โ€” Week 0

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

02

Connect โ€” Weeks 1โ€“2

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

03

Train & evaluate โ€” Weeks 2โ€“3

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

04

Go live & monitor โ€” Week 4+

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

โ€” 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.

โ€” 01 ยท Your data, your cloud

Runs inside your infrastructure, not ours.

Deploy in your VPC or cloud account. NDAs and BAAs signed, zero-retention model APIs, field-level encryption for anything sensitive. Your conversations and knowledge never train a third party's model โ€” and you own the deployment and the code.

โ€” 02 ยท Grounded, measured, safe

It answers from your knowledge โ€” 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 โ€” so you see the numbers before customers do, and every week after.

โ€” Frequently asked

The questions support leaders ask first.

Something missing? Email Prakash directly โ€” 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 โ€” 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 โ€” 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, sign NDAs and BAAs, use zero-data-retention model APIs where available, and support SOC 2 and GDPR requirements. Your conversation data and knowledge base never train third-party models.
How long does deployment take?
A working pilot on your real knowledge base typically ships in 2 weeks. Full production โ€” with tool integrations, human handoff, analytics and evals โ€” takes 2 to 4 weeks depending on how many systems it connects to.
How is it priced?
A fixed setup fee for integration and tuning, then a predictable monthly platform fee โ€” not per-message billing that punishes you for growth. You own the deployment and the code. Book a demo for a scoped quote.
โ€” See it on your own data

Book a demo. Watch it resolve a real ticket.

A 30-minute working session โ€” 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 โ†’
โ€” Founder will reply personallyPrakash Singh ยท Matrytech