Helpdesk

Your Helpdesk Agent can act just like a human agent: drafting replies for review, triaging tickets, flagging and escalating important issues, and replying based on all their knowledge and training.

Quick start

1

Teach them about your company

Connect a knowledge source. Options include Zendesk, Freshdesk, Website URL, Google Drive, or upload a PDF/DOCX/TXT file. The step completes as soon as any single source is added.

Supported file types for upload: PDF, DOCX, DOC, TXT, MD, CSV, XLSX, XLS, HTML, RTF (max 50MB per file).

2

Ask them a question

Test the agent in the Chat panel. Suggested questions appear (e.g., "How do I reset my password?", "What's your refund policy?"). This step completes when you have a chat interaction.

3

Brief them on the job

Review and customize the Instructions page — tone, escalation rules, what to avoid, how to handle edge cases.

Select actions, like leaving draft replies or internal notes, or tagging tickets.

4

Put them to work

Deploy the agent to a real channel. Select an trigger under the helpdesk integration menu in order for the agent to start working, depending on your preference.

• @eesel mention

• Every new ticket

• Every ticket update

Starting with @eesel is the best way to gradually evaluate and roll out eesel with your team. Any agent can @eesel on a ticket in an internal note in your helpdesk and have eesel draft replies or take actions based on how you've configured it. See Core Capabilities below for more deatils on actions.

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What It Can Do

Core capabilities

Capability	What it does
Draft and send ticket replies	Leave internal notes or comments with a drafted reply, or send direct responses to customers - all automatically or when you ask it to.
Tag and categorize tickets	Add tags based on sentiment and context, and update ticket fields automatically.
Update ticket status	Create new tickets, mark them as solved, close tickets, and more.
Escalate	Handover tickets or conversations to your team
Multilingual	80+ languages - no need to translate your help center
Confidence-based handling	Tell your agent what to do when it's not condient: high confidence → direct reply; low confidence → internal note for agent
Sentiment-based escalation	Take actions, respond differently, or escalate immediately based on sentiment
Loop prevention	Escalated after a certain number of interactions or attempts to help
Business hours awareness	Set business hours for certain behaviours
Tone and voice customization	Fully customizable tone and voice - all in plain text.

Draft reply vs. Send reply:

• Draft reply — Agent creates a draft visible only internally. Safe starting point.

• Send reply — Agent sends a public reply to the customer directly.

• Add internal note — Agent leaves an internal comment on the ticket.

Ticket output tracking:

Property	Values
Topic	User-defined (e.g., Billing, Refunds, Shipping)
Resolution	Awaiting Approval / In Progress / Resolved by Agent / Escalated to Human
Confidence	Low / Medium / High
CSAT	1–5
URL	Deep link to source ticket

Agent corrections and learning:

• Memory updates - For specific exceptions. Agent auto-saves to an Agent Memory file. Example: "For damage claims under $50, don't ask for photo — just process refund."

• Instructions updates - For general rules. Agent proposes a diff to your Instructions. You accept or reject each change.

Default Skills

Simulation Run your AI agent over past tickets, compare its responses to what your human team actually sent, and score accuracy. Produces a gap report with specific recommendations.

Theme Analysis (Support Analytics) Analyzes conversations across channels - recurring topics, volume trends, resolution rates. Outputs ranked themes with volume and trend data.