AI workforce for Customer Support

AI agents for Customer Support teams

Actionist is an AI automation tool whose agents operate the apps your team uses. From triaging tickets and drafting replies from scratch, to routing that fires when a ticket lands and replies that draft themselves.

Support teams get back the hours lost to triage, copy-paste, and chasing unresolved cases.

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Your AI workforce

26 hrssaved on avg per person / month

$780avg saved per person / month

17avg scheduled jobs a week

Operates your stackActionist App Store

How it works

AI Employees for Customer Support in 4 simple steps

Manual Time
We'll go over where you currently waste your time doing manual tasks.
Actionist Automations
We'll show you exactly how Actionist can automate these manual tasks.
Your Benefits
How much time and money you'll save by onboarding AI agents.
Easy to use
We'll show you how easy it is to enable AI across your business.

Where you spend your time

Why Customer Support teams switch

We know how your week actually goes

What matters to you

Every ticket reaches the right agent
New tickets are classified, tagged, and routed to the right queue within about a minute. Nothing piles up unread.
Replies drafted with context already in them
Order and case history pulled into a draft reply before a rep opens the ticket. No blank compose window.
SLA clocks watched all day
An agent watches every open ticket against its SLA deadline and posts an alert before the clock runs out, not after.
Help articles kept current
When a ticket resolves with a fix not in the knowledge base, the agent drafts the article and queues it for review.
CSAT scores compiled, not collected
QA and CSAT reports assemble from survey responses so you see which rep needs coaching, not which data to pull.
Serve the customer, not the queue
Spend your hours on complex cases and coaching, not copy-pasting order numbers into boilerplate replies.

And hundreds of other tasks you do manually..

An agent can take a lot off your team's plate. Take a look below to see the time and cost you could save by adding AI agents to your Customer Support team's day.

The problem

Where the hours go

Reps spend the first hour of every shift triaging the queue and copy-pasting order details before writing a single reply.
An agent classifies and routes each ticket the moment it lands, and pulls the customer's order history into a draft reply so reps open a prepared ticket, not a blank one.
SLA breaches go unnoticed until the ticket is already late because nobody is watching the clock on 200 open cases.
An agent monitors every open ticket against its SLA deadline and posts an alert to Slack before the clock runs out, so the team catches breaches before they happen.
The weekly support report eats two hours on Monday morning: pulling Zendesk data, pasting it into a sheet, writing up the trends.
An agent pulls the week's metrics from the helpdesk, writes the narrative of what moved, and drafts the report so you start Monday reviewing it, not building it.
The knowledge base falls months behind because writing new articles means finding the time to start from scratch after a long triage day.
When a ticket is resolved, the agent drafts the help article and queues it for review, so the knowledge base grows from the work the team is already doing.

Actionist Will Automate

Anatomy of an automation

What one automation looks like

Trigger·Every Monday morning, for the previous week's closed tickets

Trigger

Step 1

Actionist

Weekly schedule fires for the previous 7 days of closed tickets

read

Step 2

Zendesk

Pull ticket volumes, first-response time, resolution rate, and CSAT scores by rep and channel

read

Step 3

Google Sheets

Open the weekly tracker to match format and check trends against the previous week

write

Step 4

Google Docs

Assemble the support report: volumes, SLA performance, top issue types, CSAT by rep, and the one trend worth acting on

Confirmation

Step 5

Human

You review the report, add your coaching notes and team callouts, and approve it

write

Step 6

Slack

Post the approved report to the support-team channel

Saved per run

~2 hrs

Runs / week

~1×

Monday morning starts with a real report instead of a two-hour data pull

A week in the life

A week with your Customer Support agents

17Scheduled jobs

6Agents at work

24/7Always on

Agents

Mon–Wed

Mon

Tue

Wed

10a

11a

12p

Apps

Some of the apps for your Customer Support team

View Actionist App Store

Some of the customer support apps your agent operates for you. Hundreds more are in the Actionist App Store.

Triggers

Your Agent wakes up Automatically whenever something happens

Your agents watch the apps you already use and act the moment something happens, usually within about a minute, handle it based on your instructions, 24/7.

WhenA new support ticket arrivesfires within about a minute

The agent automatically

When a ticket lands, the agent reads the issue, checks the customer's order and case history, assigns the right category and priority tags, and routes it to the correct queue or rep. A triage note is added to the ticket so whoever picks it up starts with context, not a blank slate.

Receives this trigger from

Zendesk Slack

What it automates

Use cases for this team

SLA breach alerts before the clock runs out
An agent watches every open ticket against its SLA deadline and posts an alert to Slack when any ticket enters the danger window. Breach risk is surfaced in time to act, not discovered in the weekly report.

Your benefits

Manual vs agent

Where the time goes back

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

Customer Support
120 min / week
Triaging the inbound queue
A rep reads every new ticket, decides the category and priority, applies tags, and moves it to the right queue, one at a time, before a single reply is written.
Customer Support Agent
0 min
Agent classifies and routes each ticket
An agent reads each ticket the moment it lands, applies the right category, priority, and routing, and adds a triage note so the assigned rep opens a context-rich ticket, not a cold read.
Customer Support
90 min / week
Watching SLA deadlines manually
Someone glances through the queue hoping to spot tickets close to deadline, which means breaches go unnoticed until the report shows it the following week.
Customer Support Agent
0 min
Agent posts breach alerts before the clock runs out
An agent watches every open ticket against its SLA deadline and posts a Slack alert naming the ticket, the rep, and the minutes remaining the moment a ticket enters the danger window.
Customer Support
120 min / week
Building the weekly support report
Pulling ticket volumes, first-response times, and CSAT scores from the helpdesk and pasting them into a sheet, then writing up the trends, which is why Monday morning starts two hours behind.
Customer Support Agent
0 min
Agent assembles and writes the report
An agent pulls the week's metrics, writes the narrative of what moved and why, and delivers the finished report to Slack so the team lead starts Monday reviewing insights, not building the deck.
Customer Support
120 min / week
Writing new knowledge-base articles
Drafting a new help article from scratch, which never makes it onto anyone's task list because triage always takes priority over documentation.
Customer Support Agent
0 min
Agent drafts the article from the resolved ticket
When a ticket is resolved with a fix that isn't in the knowledge base, the agent drafts the article and queues it for review, so the knowledge base grows from the work the team is already doing.
Customer Support
150 min / week
Pulling context before drafting each reply
Switching to the CRM, finding the customer's order history and previous tickets, and copy-pasting the relevant details into the reply window before writing a single word of the actual response.
Customer Support Agent
0 min
Agent pulls the context and drafts the reply
An agent pulls the customer's account, order, and case history and drafts the reply with that context already woven in, so the rep personalises and approves instead of starting from a blank compose window.

+ 100s of other automations

Average monthly

24 hrs / person / month

ROI

What that's worth

Calculator

Calculate what your team saves

Team size

8 people

Hourly rate

$30 / hr

Hours saved / week

Hours saved / year

2,400

Annual ROI

$72,000

Based on typical team usage — the visible tasks plus a few other automations the agent runs: ~6 hrs / person / week of admin work automated.

How easy it is to use

Automatic onboarding

We'll do all the heavy lifting for you.

From entering your website address to having a working AI team, no effort from you.

Step 1
Enter your website
- We'll research your business
- Automatically configure everything for you
Try the demo
Step 2
Actionist Auto
Optional
- Watches you work
- Creates your agents, workflows and schedules
Get the extension
Step 3
Marketplace
- Hundreds of apps, plus agents and workflows
- Pre-configured by other users
Browse the App Store
Step 4
Invite your team
- We'll automatically onboard them too
- Focus on the things that matter
Open Actionist

Enter your website URL for a personalised demo

See exactly what Actionist would automate for your business.

Trust & control

You stay in control

An agent working in your name with customers only earns trust if you stay in control. Actionist is built so you decide what goes out, see everything it did, and can tighten or widen autonomy per action type.

Replies wait for your approval

By default the agent drafts and waits. You widen autonomy (suggest, ask each time, guarded auto, full auto) only where it has earned it. Customer-facing actions stay at whatever mode you set.

Destructive actions always ask first

Anything that issues a refund, closes an account, or contacts a customer directly stops for explicit approval, no matter how much autonomy you have granted elsewhere.

A full audit trail per ticket

Every page the agent read, every field it populated, and every action it took is logged per ticket, so you can always see what happened and why before any customer interaction.

Your customer data stays yours

Ticket data is encrypted, never used to train models, and if you need everything on your own infrastructure you can self-host on a VPS.

Industries

This team, in your industry

The same agents, set up for the way a specific industry works, its tools, its tasks, and the language its customers use.

Industry-specific versions of this team are coming soon.

More to automate

More use cases for Customer Support teams

Other teams

Admin & Front Office Engineering Finance & Accounting Founders & Executives HR & People IT Legal Marketing Operations Product Sales

FAQ

Frequently asked questions

Does my support team need to be technical to use AI agents for customer support?

No. You describe what you want the agent to do in plain language and give it examples of the replies you would send, the same way you would coach a new rep. The agent learns your team's tone and your ticket categories from the examples you provide, and you refine it by editing its drafts until it consistently gets it right. No code, no integrations to build.

How quickly can a customer support team get started with Actionist?

You can connect your helpdesk, set up the triage rules, and have the agent routing and drafting replies within a day. The first pass won't be perfect, but you adjust the routing logic and the reply tone in plain language until it matches how your team works. Most teams have a working triage-and-draft setup in the first session and refine from there.

Will the agent send replies to customers on its own?

Only if you choose to allow it. By default the agent drafts every reply and waits for a rep to review and send. Approval modes let you move from suggest, to ask each time, to guarded auto, to full auto on the specific ticket types you trust it with. Anything that contacts a customer stays at whatever approval level you set, and anything destructive (a refund, an account change) always asks first.

How does the agent monitor SLA deadlines and CSAT without an API?

Actionist uses computer use on the desktop: the agent opens the helpdesk the way a rep would, reads the ticket queue, checks each ticket's deadline, and posts alerts. That means it can watch platforms that have no outbound webhook and catch the same information a rep would catch by manually scanning the queue. The same principle applies to pulling CSAT scores and building the weekly report.

What if the agent drafts an inaccurate or off-brand reply?

In the default modes nothing sends to a customer without a rep's sign-off, so an off draft is something you correct before it goes out, not something the customer receives. You tighten the agent's instructions for that ticket type and use the edited draft as a new example, the same way you would debrief a rep after a quality miss. The more examples it sees, the more consistent it gets.

Can I build a custom AI agent for whatever my support team specifically does?

Yes. The agents shown here are starting templates. You can build a custom AI agent for any support workflow your team runs: a specialist escalation handler for a particular product line, a proactive outreach agent for a specific customer segment, or a knowledge agent trained on your internal SOPs. You describe the workflow in plain language and the agent learns from the examples and corrections you provide.

Where does our customer ticket data live, and is it used to train AI?

Your data stays yours. It is encrypted, never used to train any AI model, and every action the agent takes is logged so you can audit exactly what it read and did on any ticket. If your team or your compliance requirements need everything on your own infrastructure, you can self-host Actionist on a VPS.

How quickly does the agent pick up a new inbound ticket?

Triggered tasks poll on a short interval, so a new ticket is typically picked up within about a minute. Scheduled tasks like the weekly report and the knowledge-base gap review run on the cadence you set. The SLA monitoring pass runs on a regular schedule through the day so breach alerts arrive with enough time to act.

Where do the agent's alerts and reports show up?

Actionist delivers to Telegram and Slack (the two supported channels) so SLA breach warnings, low-CSAT flags, handoff summaries, and the weekly support report land in the channel your team already watches. You can reply in-thread to direct the agent, and the report lives in the channel alongside your normal team conversation.

Explore more

Use Cases Teams Industries

Get started

See an agent triage a ticket queue and draft replies with context already pulled

Book a free demo and watch an Actionist agent classify a real ticket, pull the customer's order history, and draft the reply, end to end.

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AI agents for Customer Support teams

AI Employees for Customer Support in 4 simple steps

Manual Time

Actionist Automations

Your Benefits

Easy to use