Actionist

Part of our Customer Support agents

AI workforce for SaaS Customer Support

AI agents for SaaS customer support teams

Actionist is an AI automation tool whose agents operate the apps your support team already uses. From tagging every ticket by hand to a triage pass, a drafted reply, and a clean bug report, all in about a minute.

SaaS support reps get back the hours lost to triage, copy-pasting order and account context, and chasing missing information.

Get Personalised DemoOpen Actionist
Your AI workforce
26 hrssaved on avg per person / month
$832avg saved per person / month
27avg scheduled jobs a week
Operates your stackActionist App Store
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ChatGPT (OpenAI) logo
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Calendly
How it works

AI Employees for SaaS Customer Support in 4 simple steps

  1. Manual Time

    We'll go over where you currently waste your time doing manual tasks.

  2. Actionist Automations

    We'll show you exactly how Actionist can automate these manual tasks.

  3. Your Benefits

    How much time and money you'll save by onboarding AI agents.

  4. Easy to use

    We'll show you how easy it is to enable AI across your business.

01

Where you spend your time

Why SaaS Customer Support teams switch

We know how your week actually goes

What matters to you
  • Every ticket triaged within about a minute
    New tickets are tagged, scored for severity, and routed to the right queue before a human opens it.
  • First replies drafted from the help center
    The relevant article or prior answer is pulled into a draft, so a rep reviews instead of starting blank.
  • Bugs handed to engineering, not forwarded
    Steps to reproduce are extracted and checked for duplicates before a clean Jira ticket reaches the queue.
  • SLA clocks watched on every plan tier
    Enterprise tickets are watched against their deadline and escalated before the clock runs out, not after.
  • Every NPS detractor hears back personally
    Unhappy survey responses get an acknowledgment fast, and the week's comments group by theme.
  • Built around your support stack
    These are examples of what a SaaS support agent can do. Build a custom agent for what your team repeats.

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 SaaS Customer Support team's day.

The problem

Where the hours go

  • A ticket lands at 6pm with no tag, no severity, and no owner, and by the time anyone opens the queue in the morning it has been sitting untouched for twelve hours.

    An agent reads, tags, and scores every ticket the moment it lands and routes it to the right queue in about a minute, day or night.

  • A customer describes a bug in three rambling sentences, and someone has to read it twice, guess at the steps to reproduce, and hope it is not a duplicate of something already filed.

    An agent extracts clean steps to reproduce, checks whether it has already been filed, and hands engineering a ticket that needs no follow-up questions to start on.

  • An enterprise ticket quietly breaches its SLA because nobody was watching the clock, and the first anyone hears about it is an angry follow-up from the customer.

    An agent watches every open ticket against its plan's SLA deadline and posts an escalation alert before the clock runs out, not after.

  • A detractor leaves a one out of ten NPS score and nobody follows up personally, because reading and triaging survey comments always loses to the ticket queue.

    An agent drafts a genuine acknowledgment to every NPS detractor within about a minute and groups the week's comments into themes worth acting on.

02

Actionist Will Automate

Anatomy of an automation

What one automation looks like

Trigger·A new support ticket arrives in the queue
Trigger
Step 1
Actionist
Ticket-created event fires the triage sequence
read
Step 2
Zendesk
Pull the ticket text, tags, and the customer's plan tier and account history
read
Step 3
Notion
Search the help center for the article or prior answer closest to the issue
write
Step 4
Zendesk
Tag the ticket by category, score its severity, and draft a first-response reply
Confirmation
Step 5
Human
A support rep reviews the tag, severity, and drafted reply, adjusts if needed, and approves
write
Step 6
Zendesk
Send the approved reply and route the ticket to the right queue
Saved per run
15 min
Runs / week
~1×
A source-linked first-response draft reaches rep review with proposed routing; preparation time depends on source access and task scope.
A week in the life

A week with your SaaS Customer Support agents

27Scheduled jobs
6Agents at work
24/7Always on
Agents
Mon–Wed
Mon
Tue
Wed
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Apps

Some of the apps for your SaaS Customer Support team

View Actionist App Store

Some of the SaaS 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

The moment a ticket lands, the agent reads it, tags it by category and product area, scores its severity, routes it to the right queue, and drafts a first response pulled from the help center. The draft waits for a rep's approval before it reaches the customer.

Receives this trigger from
ZendeskNotionGmail
What it automates

Use cases for this team

03

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
    150 min / week
    Triaging new tickets

    A rep opens the queue every morning to a pile of untagged tickets and works through them one by one before anyone can answer the important ones first.

    Customer Support Agent
    0 min
    Agent tags, scores, and routes on arrival

    An agent tags and scores every ticket the moment it lands and routes it to the right queue in about a minute, day or night.

  • Customer Support
    180 min / week
    Writing the first response

    A rep searches the help center themselves, finds an article that might apply, and types a reply from scratch that may or may not read as personal.

    Customer Support Agent
    0 min
    Agent drafts from the help center for review

    An agent searches the help center and past answers, drafts a personalised first reply, and queues it for the rep's approval.

  • Customer Support
    90 min / week
    Filing bugs to engineering

    A rep forwards a customer's confusing bug description as-is, and engineering spends time asking follow-up questions before they can even start investigating.

    Customer Support Agent
    0 min
    Agent extracts steps and files a clean ticket

    An agent extracts clear steps to reproduce, checks for duplicates, and files a structured Jira ticket engineering can start work on without back-and-forth.

  • Customer Support
    100 min / week
    Watching enterprise SLA deadlines

    Nobody notices a ticket is close to breaching until the customer emails asking why they have not heard back, and by then it is already too late.

    Customer Support Agent
    0 min
    Agent watches every clock and escalates early

    An agent watches every enterprise ticket against its SLA and alerts the rep and manager an hour before it would breach.

  • Customer Support
    110 min / week
    Following up with NPS detractors

    Reading and responding to every unhappy survey score always loses to the ticket queue, so most detractors never hear back from anyone at all.

    Customer Support Agent
    0 min
    Agent drafts an acknowledgment for every detractor

    An agent drafts a genuine acknowledgment referencing the customer's comment within about a minute, queued for a lead's review.

+ 100s of other automations
Average monthly
24 hrs / person / month
ROI

What that's worth

Calculator

Calculate what your team saves

Team size
7 people
Hourly rate
$32 / hr
Hours saved / week
42
Hours saved / year
2,100
Annual ROI
$67,200

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

04

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.

  1. Step 1

    Enter your website

    • We'll research your business
    • Automatically configure everything for you
    Try the demo
  2. Step 2

    Actionist Auto

    Optional
    • Watches you work
    • Creates your agents, workflows and schedules
    Get the extension
  3. Step 3

    Marketplace

    • Hundreds of apps, plus agents and workflows
    • Pre-configured by other users
    Browse the App Store
  4. 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

Configure explicit review for external messages and consequential changes. These examples prepare evidence and drafts; authorised people verify sources and decide which actions may proceed.

Configure exact message approval

Set Ask each time for external sends and publication. The support or incident lead approves exact content, attachments, recipients, and timing before release.

Owners authorise consequential changes

Require explicit review for data removal, permissions, contractual changes, and financial actions. Test the configured boundaries; approval is not guaranteed merely by granting an agent access.

Inspect available execution records

Use available run history and app records to inspect the actions performed. Verify important source and approval references rather than assuming logs establish complete coverage.

Review confidential-data handling

Restrict connected sources and minimise personal or sensitive data. Assess model-provider terms, app permissions, and runtime settings; self-hosting can still involve external services.

SaaS

More SaaS teams

Customer Support agents in other industries
Accounting Firms Customer SupportAuto Dealer Customer SupportCleaning Services Customer SupportCoaching Customer SupportConstruction Customer SupportConsulting Customer SupportCourse Creators Customer SupportDental Practices Customer SupportEcommerce Customer SupportEducation Customer SupportEvent Planning Customer SupportFinancial Advisors Customer SupportGyms & Fitness Studios Customer SupportHealthcare Practices Customer SupportHome Services Customer SupportHospitality Customer SupportIT Services Customer SupportInsurance Customer SupportInterior Design Customer SupportLandscaping Customer SupportLaw Firms Customer SupportLogistics Customer SupportManufacturing Customer SupportMarketing Agencies Customer SupportMedia & Publishing Customer SupportMortgage Brokers Customer SupportNonprofits Customer SupportPlumbing & HVAC Customer SupportProperty Management Customer SupportReal Estate Customer SupportRecruiting & Staffing Customer SupportRestaurants Customer SupportRetail Customer SupportSalons & Spas Customer SupportTravel Agency Customer SupportVeterinary Customer SupportWholesale Distribution Customer Support
More to automate

More use cases for SaaS Customer Support teams

FAQ

Frequently asked questions

Does my SaaS support team need to be technical to set this up?
No. You describe the job in plain English, for example "tag and score every new ticket, then draft a reply from our help center", connect your help desk in a guided step, and the agent starts running. Reps do not write code, and most teams have their first drafts appearing inside a day.
How do I get started with an AI agent for SaaS customer support?
Begin with a few redacted tickets and reviewed help articles. Inspect the first-response drafts and proposed routing with the support lead, then connect only the needed sources. Configure Ask each time for external replies and consequential case changes.
How do I make customised AI agents for the way our support team actually works?
The triage, first-response, and NPS agents shown here are a starting point, not a limit. You can build a custom AI agent for anything your team repeats: routing a specific enterprise account's tickets to a named engineer, drafting a particular partner's escalation format, or pulling a field from your product database into every reply. You describe the job in plain English and it runs on a schedule or when a trigger fires.
How quickly can I set Actionist up for a SaaS support queue?
Most support teams have their first agent, usually ticket triage and first-response drafting, running the same day they connect their help desk. There is no migration and nothing to rip out. You keep every draft in review mode at first, and expand once the tagging and reply quality match how your reps would have done it.
Is customer data kept private when an agent reads our tickets?
Use only ticket and account fields needed for the assigned support case, keeping sensitive attachments within their authorised audience. Assess model-provider and help-desk terms, access permissions, and retention arrangements. Self-hosting can still involve external services; do not assume all content stays local or is excluded from provider processing.
Our help desk and product database are not connected by an API. Can the agent still pull account context?
In most cases, yes. Rather than waiting on a clean API bridge between the two, the agent works each tool the way a support rep would: it opens the product database on screen, reads the usage data relevant to the ticket, and writes that context straight into the help desk record. If an API is available it uses it; if not, the agent carries the automation on screen instead.
Will an agent send a reply to a customer without a rep seeing it first?
Set Ask each time for customer replies, survey reminders, and incident notifications. The support or incident owner reviews exact facts, content, audience, and timing before sending. Test the permission configuration instead of assuming every external action is automatically held for a rep.
What happens to tickets that come in overnight or over a weekend?
The screen runtime must remain available for screen checks. Overnight queue monitoring runs on your organisation's Actionist cloud machine. Configure customer sends and incident publication to require review, and leave response dates and incident facts subject to their responsible owners.
Is this going to replace our support reps?
No. It removes the admin, not the judgment. The work it takes over is the part reps already resent: re-typing the same first-response answer, searching for whether a bug was already reported, and reading survey comments nobody had time for. Hand that to an agent and your reps spend their hours on the hard cases and the customers who need a real conversation, which is the work a person is actually good at.
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See an agent triage a ticket and draft the first reply in one pass

Book a free demo and watch an Actionist agent tag a real ticket, pull the customer's account context, and draft a reply from your help center, end to end.

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Your agents run 24/7 on your organisation's own Actionist cloud machine.