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● SOLUTION

Customer Support Resolution

Tickets are classified, matched against your knowledge base, and resolved automatically when confidence is high. Low-confidence cases route to the right specialist with a draft response ready — not a blank reply box.

Available as SaaS or on-premise. Your KB stays where it is.

~50%

Tickets auto-deflected

−40%

Average handle time

+18%

CSAT lift

Support Pipeline · SISAV

TICKET CYCLE

S

Signal

Email, chat, call, web form

I

Interpretation

Intent · sentiment · urgency

S

Solution

KB match + confidence score

A

Action

Auto-reply or route + draft

V

Verification

CSAT · FCR · accuracy audit

Not “tickets touched”

“52% deflected, AHT 4m 12s, CSAT 4.6”

The support resolution problem

Volume goes up, headcount can’t. Tier-1 burns out repeating itself.

60%

of tickets are repeat questions already answered in the knowledge base.

5+

tools an agent toggles per ticket: helpdesk, KB, CRM, billing, internal wiki.

38%

first-contact resolution at most teams. The rest bounce between queues.

0

closed-loop visibility into which KB articles actually deflect tickets.

How it works — SISAV cycle

Five phases. Every ticket goes through the same closed loop.

Signal

Capture every channel

Tickets land from anywhere. The pipeline normalizes them into a single queue with full conversation history attached.

Email, helpdesk, web chat, in-app messenger

Voice transcripts (IVR, contact center)

Telegram, WhatsApp, Messenger, social DMs

Webhooks from Zendesk, Freshdesk, Intercom, Jira SM

📧

Email

💬

Web chat

📞

Voice

📱

WhatsApp

🎫

Helpdesk

🔗

API

All channels → Unified ticket queue

TICKET #38291

Intent

Refund · double charge

Sentiment

Frustrated

Urgency

High

Customer tier

Pro · 18 mo

Routing confidence

94%

Interpretation

Classify, score, enrich

Each ticket is parsed and stamped with structured attributes. Customer history, product context, and prior tickets are pulled in automatically.

Intent & category classification (your taxonomy)

Sentiment & urgency scoring

Language detection & translation

CRM enrichment (plan, tenure, prior issues, account value)

PII masking before any external LLM call

Solution

Match against grounded knowledge

Retrieval over your KB, prior resolved tickets, runbooks, and product docs. Every candidate answer comes with citations and a confidence score.

RAG over your existing KB — no migration

Confidence threshold per category, set by you

Citations attached to every answer

No hallucinated promises — if the KB doesn’t cover it, it gets escalated

TOP KB MATCHES

Refund · duplicate charge

96%

KB-882 · last edited 2 weeks ago

Billing · failed retry

63%

KB-401

Plan change · proration

34%

KB-220

Confidence ≥ 90%

Auto-resolve

Refund issued, customer notified, ticket closed.

Below threshold

Route + draft

Specialist opens the ticket with a draft + cited KB.

You set the threshold per category

Action

Auto-resolve or route with a draft

Above the confidence threshold, AI replies, executes the resolution (refund, plan change, password reset), and closes the ticket. Below it, the right specialist gets the case with a drafted answer they can edit and send.

Backend actions (refund, reset, ship replacement) via your existing APIs

Skill- and language-aware routing

Drafted reply with KB citations attached

Brand-voice tuning per channel and customer tier

Verification

Closed-loop quality

Every resolution is checked. CSAT surveys, follow-up reopen rate, and audit sampling feed back into thresholds and the KB itself — gaps surface as suggested articles.

CSAT, FCR, AHT, deflection rate

Reopen rate & reopen reason

QA sampling with reviewer notes

KB gap detection — new articles drafted from missed cases

THIS WEEK

Tickets handled

8,412

Auto-resolved

4,366 (51.9%)

Avg. handle time

4m 12s

CSAT

4.6 / 5

Cost / resolution

−43%

Everything support resolution needs

In one platform. No bot, no plug-in glue.

Grounded answers

RAG over your existing KB, runbooks, and prior tickets. Citations on every reply.

Confidence-gated automation

You set the threshold. Below it, a human takes over — with a draft.

Backend actions

Refund, reset, swap, ship — AI executes via your APIs, not just answers.

Multi-language

Detect, translate, respond natively in 50+ languages.

Skill routing

Right team, right specialist, right shift — based on category, language, account value.

Voice + chat parity

Same intent model on transcripts, web chat, email, and messengers.

PII masking

Sensitive fields scrubbed before any external LLM call. Policy-as-code.

KB gap detection

Missed cases become drafted articles for your KB owners to publish.

Helpdesk-native

Bidirectional sync with Zendesk, Freshdesk, Intercom, Salesforce SC, ServiceNow, Jira SM.

Deploy your way

Customer Support Resolution runs wherever your data lives.

S

SaaS

Hosted by us. Up in days. Enterprise isolation, SOC 2 infrastructure.

Days to first ticket auto-resolved

Automatic updates & scaling

99.9% SLA uptime

P

On-Premise

Your data center or private cloud. KB, transcripts, and PII never leave the perimeter. Air-gap compatible.

Kubernetes + Helm

Local LLMs (Llama, Mistral) or private endpoints

GDPR · HIPAA · SOX ready

H

Hybrid

Sensitive context on-prem, frontier models in cloud. Policy-as-code routes data per step.

PII stays on-prem, AI in cloud

Mix local + cloud per step

Gradual migration path

Who uses it

Any team where ticket volume outruns headcount.

B2B SaaS

Tier-1 deflection on billing, plan changes, integrations. Engineers get the rest with full context.

E-commerce

Order status, returns, refunds resolved end-to-end via your OMS APIs.

Telco & Utilities

High-volume billing and outage queries. On-prem deployment for regulated data.

Financial services

Card disputes, statement questions, KYC follow-ups. Air-gap deployment, full audit trail.

Travel & hospitality

Booking changes, cancellation policies, loyalty queries — multi-language, 24/7.

Healthcare

Appointment, prescription refill, and benefits questions. HIPAA-ready on-prem.

Resolve more, escalate less

Tell us about your ticket volume and stack — we’ll show you the deflection ceiling.

Or reach us at info@aglium.com · Telegram

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