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Turn product events into

customer follow-up.

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A failed payment is churn if nobody chases it this week. A trial ending is revenue if somebody follows up, and lost if nobody does. Automations catch both the moment they happen, and because they run inside AppGram they can change the record itself: reply to the ticket, publish the incident, write the release note.

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27 event types

Feedback, support, status pages, uptime monitors, billing, forms and releases.

Forty steps

Sixteen act inside AppGram. The rest reach Slack, email, Linear and any URL you like.

Runs you can read

Every step logs what it did, so a failure names itself instead of hiding.

AI NATIVE

Say what you want. Watch it get built.

Describe the automation in a sentence and Build with AI assembles it on the canvas: the trigger, the condition, the classification step, the branch, the Slack post. Ask for a change and it rewrites the flow rather than starting over. Everything the builder can do is also exposed over MCP, so Claude Code, Claude Desktop or Cursor can do the same from wherever you already work.

  • The whole builder surface over MCP: read, create, edit, validate, preview, simulate, enable
  • Complexity is not the limit — fifty steps, nested branches, loops and sub-automations are the same conversation as a two-step Slack post
  • The agent validates the definition before it saves, so a broken flow never reaches your account
  • API key scope decides what it can touch: a project key sees only that project

THE GAP

Nobody has time to tell forty people their request got built.

It takes an afternoon of copy-paste, so it happens once and never again. An automation does it the moment the status changes, whether forty people asked or four thousand, and it costs you the same either way.

  • 27 event types across feedback, support, status pages, uptime monitors, billing, forms and releases
  • Billing events for the moments that decide revenue: trial ending, payment failed, plan changed, subscription cancelled
  • Four ways to start one — an event, a cron schedule, your own hand, or an inbound webhook
  • The release announcement above arrives as a built-in template you can install today
A built-in template: when a feature request is marked complete it drafts a changelog entry, posts to Slack, and sends a mobile push, with a note explaining each step.

BUILD

Describe it, draw it, or install it.

Drag steps around a canvas until the flow looks right. Open the catalogue and install a prebuilt one, which arrives switched off with a checklist of what it still needs. Or say what you want in a sentence and let Build with AI draft it, from the dashboard or from Cursor over MCP.

  • Prebuilt flows for support, status, releases, surveys and revenue, previewed in full before you install
  • Build with AI in the dashboard, or the same tools over MCP from Claude Code, Claude Desktop or Cursor
  • Up to 50 steps, with if/else, guards, loops, and a wait from one second to seven days
  • Save a flow that works back to the catalogue for everyone else in the organization
The automation template catalogue grouped by category, with built-in blueprints including AI Support Ticket Triage, Advanced Support Triage and SLA Escalation, Help Center AI answer styling, and Support CSAT Survey on Close.

ACT

Forty steps. Sixteen of them touch your own product.

Most automation tools can only talk about your product from the outside. These file a feature request, reply to a ticket, publish a status incident, add a roadmap card, push to your app, write the changelog entry. The rest reach Slack, email, Teams, Telegram, Linear, any URL you like, and five AI steps that run on your own key.

  • Sixteen AppGram actions across feature requests, tickets, users, status pages, monitors, roadmap and push
  • Slack, Discord, Microsoft Teams, Telegram, transactional email and Linear issues
  • AI steps for chat, classification, extraction and translation, plus a Help Center answer that cites its sources
  • HTTP requests and signed webhooks for everything you host yourself
The add-step panel in the automation builder, listing step types grouped by flow control, data, state, HTTP, email, AI, and AppGram actions, each with a one-line description.

PROVE IT

See what it will do before it does it.

Preview walks the path a sample event would take without writing a row or sending anything. Simulate runs it for real and hands back a log of every step. Templates arrive disabled and stay that way until every value they need is filled in.

  • Preview is a dry run: no writes, no outbound calls, secrets redacted in the rendered config
  • Simulate fires a real event end to end, then shows you the step logs
  • Run statuses for queued, in progress, success, failure, paused and cancelled
  • A failure tally on every automation, so trouble is visible without opening anything
The automation builder: a Monitor Alert Triggered event trigger with its available metadata chips and an optional condition, a banner listing the one value still to fill in, and the automation held paused until it is.

WHO USES IT

What teams actually do with Automations.

For growth

Tell the people who asked

Everyone who voted for a feature hears about it the hour it goes out, in the app, in Slack and on their phone. The cheapest retention work there is, and the first thing to get dropped when a person has to do it.

For revenue

Chase the payment before it becomes churn

A failed charge or an ending trial lands in Slack with the account attached, emails the customer and tags them for follow-up, while there is still a week to do something about it.

For support

Answer it before a human opens it

A new ticket gets classified, answered from your own Help Center with the sources it used, and escalated when the answer is not there. Both halves arrive as templates.

CONNECTED

Automations plugs into everything else you run.

Every module writes to the same customer graph, so data captured here shows up wherever it is useful — no connectors to authorize, no sync to babysit.

See all integrations →

FAQ

What teams ask about Automations.

What can start an automation?

Four things. An event, picked from the catalogue AppGram fires across feedback, support, status pages, uptime monitors, billing, forms, surveys, releases and competitor intelligence. A cron schedule, down to the minute. Your own hand, for the flows you want full control over. Or an inbound webhook, where the automation gets its own URL and token and whatever gets posted becomes the event.

What can a step actually do?

Around forty things. Sixteen act inside AppGram: create a feature request, change its status or category, comment on it, reply to a ticket, set its status or assign it, tag a user, raise an in-app notification, send a mobile push through your Firebase project, publish or update a status incident, pause and resume a monitor, add a roadmap card, write a changelog entry. Five reach a channel — Slack, Discord, Microsoft Teams, Telegram, transactional email — plus Linear issues. Five are AI: chat, classify, extract, translate, and a Help Center answer that returns the sources it used, all on an OpenAI-compatible model with your own key. The rest is plumbing: HTTP requests, signed webhooks, a key-value store, expressions, and flow control.

Can we build one with AI, or over MCP?

Both. Build with AI drafts the flow in the dashboard from a description. Over MCP, an assistant like Claude Code, Claude Desktop or Cursor talks to the same backend the builder does: it can read your automations, create one from a description, validate it, preview it against a sample event, simulate a real run and read the logs back. What the API key can reach is what the assistant can reach.

How do we test one before it touches a customer?

Preview is a dry run. It shows which path the engine would take and what each step resolves to, with no database writes, no outbound calls, and secrets redacted. Simulate then fires a synthetic event through the same matcher production uses and executes every step for real, so you can confirm the whole thing before enabling it. Templates install disabled and cannot be switched on with placeholders left in them.

What happens when a step fails?

The run stops there and is marked failed. Open it and the step logs show each step, its output, and the error that broke it, so diagnosis is reading rather than guessing. Every automation also carries a running tally of how many times it has run and how many of those failed.

How is this different from Zapier or Make?

Those tools sit outside your product and can only send messages about it. Automations run inside AppGram on data that is already there, so a step can move a feature request, reply to a ticket or open an incident directly. Nothing is copied into a third-party account, there is no connector to authorise, and for anything outside AppGram the HTTP and signed-webhook steps still get you there.

GET STARTED

Stop paying for six tools. Run product ops from one.

Everything you were bolting together — feedback, roadmap, changelog, help, support, status, forms — in a single workspace with one API and one bill.

Cancel anytime. Yours to test on real customers.

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Tell us what you're running today and we'll map it onto AppGram.

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