streamlineworks
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1.0 Plugin

AI Ticket Summarizer

Collapse a 47-message thread into the three sentences your agent actually needs.

Long ticket threads slow your team down — every reassignment costs 15-20 minutes of catch-up. The AI Ticket Summarizer surfaces the three sentences your agent actually needs to know, with sentiment tags and a recommended next step. Powered by your LLM key (OpenAI, Anthropic, Azure). Lives in the right rail of every Freshdesk ticket.

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See it in action

The plugin, live in Freshdesk.

Long threads get reassigned and the new agent has to re-read 30+ messages. Our plugin sits in the right rail of every ticket and produces a one-click summary — sentiment-tagged, audit-logged, and powered by whichever LLM you already pay for.

yourcompany.freshdesk.com/a/tickets/4827
#4827OpenSLA 2h 14mbilling, refund

Refund hasn't shown up after 6 days

PR
Priya R.
6 days ago

Hi — my refund of $284.50 was promised in 3-5 days. It's been 6. Order #LH-9921. Can you check?

MK
marcus.k
5 days ago

Checking with finance — will revert by EOD.

+ 12 more messages — collapsed

Real-deployment numbers

−67%

Time to context on transferred tickets

4 hrs

Recovered per agent per week

100%

Summaries auditable

Use cases & outcomes

When you'd use it. What you'd get.

01When

Ticket gets reassigned to another agent

Outcome

New agent reads the 3-line summary instead of 47 messages. Catch-up: 2 minutes, not 20.

02When

Manager triages a high-stakes ticket

Outcome

Sentiment tag + recommended next step show immediately. Triage decision in 30 seconds.

03When

Multilingual customer thread

Outcome

Summary in the agent's preferred language. 14 languages supported out of the box.

04When

Compliance audit needs prompt history

Outcome

Every summary logged with prompt, response, agent, timestamp. Exportable to your SIEM.

Problems we solve

The patterns we keep seeing.

  • Long threads get reassigned and the new agent re-reads 30+ messages

  • Customers repeat themselves because agents can't catch up fast enough

  • Average handle time creeps up 18% on transferred tickets

  • Managers can't tell from a glance which tickets need escalation

How it works

Three moving parts.

Step 01

Install once

Plugin lives in the right-rail of every ticket. No retraining for agents.

Step 02

Summarize on click or auto-run on reassignment

Configurable per queue. Defaults to manual for low-volume teams, auto for high-volume.

Step 03

Bring your own LLM

OpenAI, Anthropic, Azure OpenAI, or your own internal endpoint. Ticket data never touches our infrastructure.

Features

What's in the box.

  • Summarize on demand or auto-summarize on reassignment
  • Pluggable LLM backend (OpenAI / Anthropic / Azure / self-hosted)
  • Length controls: 1-line, 3-line, or paragraph
  • Sentiment tag on every summary (frustrated · neutral · urgent)
  • Full audit log for HIPAA / SOC 2 compliance
  • Works inside Freshdesk Mint and Mercury UIs
  • Custom-field mapping for up to 30 fields
  • Multilingual: 14 languages out of the box

FAQ

Questions we get asked.

Direct answers. We'd rather you have the information than the sales pitch.

Stop waiting for Freshworks to ship it.

Tell us the workflow that's costing your team time. We'll have a working prototype in your hands inside two weeks.

founders@streamlineworks.io