AI Agent Platform

Add AI agents
to your team.

Gaia agents work inside the apps you already use. They notice the work as it arrives, decide what matters, and take the next step. You decide how much of it runs without you.

Support triage agent Example run
Woke on
A new message landed in Gmail
The agent listens to the trigger you picked, so it starts the moment the work exists.
gmailGMAIL_NEW_GMAIL_MESSAGE
Read it as
A billing question from an existing customer, asking for a corrected invoice
Classified, key fields pulled out, ranked against everything else in the queue.
Did
Wrote the reply and opened the ticket
Real operations in the connected apps, not a notification telling you to go do them.
Reply draftedIssue created
You said
“Draft the reply and file the ticket. Leave the send to me.”
One sentence sets how far it goes. Change the sentence, change the behaviour.
The part nobody has time for

Work arrives faster than anyone can sort it.

Every message, ticket, form and row that lands in your stack carries one small decision: what is this, who needs it, what happens next. On their own they take a minute. Together they take the day.

A support inbox where the urgent one sits three screens down.
A CRM where the call notes get written tomorrow, if at all.
A form that waits until someone turns it into a ticket by hand.

None of it needs a whole person. All of it needs judgment.

How an agent works

Four moments, every single run.

There is no black box to trust. An agent run is four things happening in order, and you can see all four.

IncomingExample
New message in Gmail
Invoice #4471 looks wrong
now
Message in #support
Customer asking about delivery
2m
New row added
Demo request from the website form
6m

The agent does not poll and hope. It subscribes to a named event in the app, so it wakes when that exact thing happens.

What the AI made of itExample
TypeBilling question
CustomerExisting, on a paid plan
Asking forCorrected invoice
PriorityAnswer today
Needs a humanNo, this one follows the rule

Most of triage is deciding what to ignore. The agent reads the whole queue so the two that matter reach you first.

What it didExample
Reply written
With the order history already in it
Issue filed for the billing team
Labelled, assigned, linked to the thread
Tracking row updated
Status moved to awaiting correction

Whatever your account can do in an app, the agent can do on your behalf. Nothing more.

Your instructionExample
“Answer delivery questions and send. For anything about money, write the draft and leave it for me.”
Delivery questionAnswered and sent
Billing questionDraft waiting for you

Autonomy is not a setting we chose for you. It is the sentence you wrote, and you can rewrite it in a minute.

1Listen

Work arrives.

An event fires in a connected app, a schedule comes due, or you press go. The agent wakes on the trigger you chose, so it starts when the work exists rather than on a timer that guesses.

2Understand

The AI reads it.

It classifies what arrived, pulls out the fields that matter, and weighs it against everything else waiting. This is the step a rules engine cannot do, and the reason a real model sits in the middle of the flow.

3Act

The next step happens.

A reply drafted, a ticket filed, a row updated, a document written. The agent performs real operations in your connected apps, using your own access, so the result shows up where your team already looks.

4Decide

You set how far it goes.

Ask for drafts and everything waits for your review. Tell it to send and it completes the step on its own. You can split the line down the middle by rule, and you can move it whenever you like.

Adaptation

It fits your process. Not the other way around.

Most automation asks you to redraw your work as a diagram before it will help. An agent asks you to describe it. That difference is why it survives contact with how your team actually operates.

It works where the work already is

There is no new inbox to check and no dashboard to remember. The agent reads and writes inside Gmail, Slack, Jira, Sheets and the rest of your stack, so its output lands in the place your team was going to open anyway.

What this changesAdoption stops being a training problem. Nobody has to learn a new tool to receive the benefit.

Written, not wired

You brief an agent the way you would brief a new teammate: what to watch, what matters, what to do about it, and what to leave alone. Plain sentences, in your own words. To change a rule, you edit the sentence.

What this changesThe person who knows the process can change the process, without waiting for whoever built the flowchart.

A template is a starting point

Every template in the library is a working agent, not a screenshot: real triggers, real operations in real apps. It is also yours to rewrite the moment you take it. Swap an app, add a condition, tighten the tone, remove a step.

What this changesYou start from something that already runs, and end with something that matches how your team does it.
The dial is yours

Say how far it should go.

Autonomy is not a level we picked for you. It is one line in the agent's instructions, it can be different for every agent you run, and it takes a minute to change.

You write

Draft the reply with the order history in it and leave it in my drafts. Do not send anything.

What the agent does

Reads the thread, finds the customer record, writes the full response and stops there.

What you get

A finished draft waiting for you. You read it, change a line if you want, and press send yourself.

Good for

Anything where tone or money is involved, and for the first weeks with a new agent while you learn to trust it.

You write

Answer questions about delivery status using the tracking page, then send the reply and close the thread.

What the agent does

Handles the pattern you described from start to finish, in your connected apps, without stopping to ask.

What you get

A queue that is already shorter when you open it, and a record of every message that went out.

Good for

The repetitive question you have answered the same way a hundred times.

You write

If the question is about delivery status, reply and send. If it touches billing or a refund, write the draft and leave it for me.

What the agent does

Applies your rule per message. The routine half closes itself, the sensitive half is prepared and parked.

What you get

One agent covering both, so you spend your attention only on the cases that actually needed a person.

Good for

Real queues, which are almost never all routine or all judgment.

Same agent. Three sentences. The line moves whenever you decide it should.

Getting started

Three steps to a working agent.

No build phase, no implementation project, no engineer on standby.

1
Pick a template, or describe the jobStart from a ready made agent in the library, or tell the AI Architect what you want handled in plain language and let it assemble the agent with you.
2
Connect your apps onceSecure managed authentication, no code and no API keys to paste. The agent acts through your own access, so it can only reach what you can already reach.
3
Write the line that sets the autonomyTell it what to handle alone and what to leave for you. Turn it on, watch the first runs, and adjust the sentence as your confidence grows.
Connect once, and revoke access at any time.
The agent sees only what your own account can see.
No code, and no flowchart to maintain.
Start free, then pay as you go.
The ecosystem

Works with the apps you already use.

Connect once through secure managed authentication. More than 1,000 business apps are reachable through the managed integration catalog.

Slack Gmail Jira Confluence Intercom HubSpot Notion Google Sheets Salesforce Zendesk Outlook Linear

Not every app plays the same role. Some can wake an agent on their own, others are places an agent reads from and writes to. Each app hub says which, and says plainly what is not supported yet.

Clarity

You can see what it did, and why.

An agent you cannot audit is a liability, however clever it is. Every run leaves a record: what woke it, what it read, what it decided, and what it changed.

Run recordExample
09:14
Woke on a new Gmail messageSubject: Invoice #4471 looks wrong
09:14
Read the thread and the customer recordExisting customer, paid plan, three previous tickets
09:14
Decided: billing, answer today, no sendYour instruction holds anything about money for review
09:15
Wrote a draft reply in GmailLeft in drafts, nothing sent
09:15
Created a Jira issue for the billing teamLinked back to the email thread
Every step is written down

The trigger, the reading, the decision and each operation are recorded in order. When you want to know why something happened, you read it rather than guess.

It uses your access, and nothing beyond it

Connections are made through secure managed authentication. The agent operates as you, inside the permissions you granted, and you can revoke them at any time.

Limits are published, not hidden

Every template and every app page lists what the agent can do and what it cannot do yet, taken from the verified integration catalog rather than from marketing copy.

No invented numbers on this site. Capability claims come from the verified integration catalog: what arrives automatically, what an agent can read, and which actions it can take. Where something is not supported, the page says so instead of staying quiet.
Put an agent on your busiest queue.

Start from a template that already works. Connect once, write the line that sets the autonomy, and let the sorting and the follow through happen while you do the rest.