AI Workflow Suggestions. Your Email Automations, Built Automatically

If you've ever sat down to build email automations from scratch, you know the feeling. You open the workflow builder, stare at the blank canvas, and think, where do I even start? You know abandoned cart emails are important. You've heard re-engagement sequences reduce churn. But translating that knowledge into actual triggers, delays, conditions, and email content is a different beast entirely.

Most teams end up doing one of two things: they copy a generic template that doesn't reflect their product, or they put it off indefinitely and keep sending the same batch newsletters. Neither is great.

That's the problem we set out to solve with AI Workflow Suggestions, a new capability in the MailJunky AI Assistant that analyses your event data and builds workflows for you automatically.

The blank-page problem is real

Email automation has an expertise barrier. You need to understand your user lifecycle, identify the moments that matter, design the right sequence of messages, and configure all the technical plumbing. Triggers, conditions, timing, fallback logic. For a growth team with dedicated email ops, that's Tuesday. For everyone else, it's a project that never quite makes it off the backlog.

The irony is that the data telling you exactly which workflows to build is already there. Every signup, every purchase, every abandoned cart, every feature activation. It's all flowing through your event stream. The gap isn't information, it's interpretation. Someone (or something) needs to look at those patterns and say "here's what you should automate, and here's exactly how."

That's what the AI Assistant does now.

How the AI builds your workflows

Once you've enabled the AI Assistant on your account, it starts working in the background on a schedule, either weekly or daily depending on your tier. Here's what happens behind the scenes.

The AI pulls your event data over a lookback window. For the base tier, that's the last 30 days. For higher tiers, it stretches to 90 or even 360 days, which means it can spot seasonal trends and longer-term behavioural patterns that a shorter window would miss.

It then analyses those events domain by domain. If you're running multiple sending domains, say one for your SaaS product and another for your marketing site, each gets its own tailored suggestions. The AI looks at what kinds of events are firing, how frequently, and in what sequences. It identifies high-value opportunities like users who sign up but never complete onboarding, customers who purchase once but don't return, or leads who engage heavily but haven't converted.

For each opportunity it finds, the AI generates a complete workflow. Not a vague recommendation, but a fully configured automation with a trigger event, wait steps, conditional logic, and email actions. It even writes the email subject lines and body copy as a starting point.

Every suggestion lands in your workflow dashboard as a disabled draft. Nothing goes live until you review it and flip the switch. You also get an email notification summarising what was generated, with a direct link to review.

It's guided, not random

One concern we heard early on was "won't the AI just generate a bunch of spammy automations?" Fair question, and the answer is no. We've built in guardrails that keep suggestions practical and responsible.

The AI considers your existing workflows before making suggestions. If you already have a cart abandonment sequence running, it won't suggest a duplicate. It also factors in email frequency, so it won't recommend sending five emails in two days to the same person. Suggestions include reasonable delays between messages and follow professional email practices by default.

Every suggestion also comes with an explanation. The AI doesn't just hand you a workflow and say "trust me." It tells you why this particular automation makes sense given your data, which events it's based on, what user behaviour it's targeting, and what outcome it's designed to improve. That context makes it much easier to decide whether to activate, tweak, or skip a suggestion.

A real example

Let's make this concrete. Say you're running a SaaS product and you're tracking three events: user_signed_up, onboarding_completed, and first_project_created. You've got a steady stream of new signups, but your analytics show that about 40% of them never finish onboarding.

The AI spots that pattern. It sees a significant gap between user_signed_up and onboarding_completed events and generates an Onboarding Nudge Workflow. The workflow triggers when someone signs up, waits 24 hours, checks whether they've completed onboarding, and if they haven't, sends a friendly email with tips to get started and a link back to the setup flow.

This is exactly the kind of automation that turns trial users into active customers. It's also exactly the kind of thing that sits on a to-do list for months because there's always something more urgent. Now it's just there, waiting for you to review and enable.

Three tiers, because one size doesn't fit all

We've structured the AI Assistant into three tiers so you can match the depth of analysis to your needs and the size of your event history.

The AI Assistant tier at $20 per month gives you a 30-day event lookback with weekly analysis. It covers the essentials: workflow clash detection, deliverability insights, event pattern analysis, and of course the automated workflow suggestions. For most small to mid-size accounts, this is plenty to get started.

AI Pro at $50 per month extends the lookback to 90 days and uses a more capable AI model for deeper analysis. The longer window means the AI can detect seasonal patterns, things like holiday shopping spikes or back-to-school trends, and factor those into its suggestions. You also get conversion optimisation tips and priority processing so your analysis runs finish faster.

For larger accounts with rich event histories, AI Enterprise at $200 per month stretches the lookback to a full 360 days and runs analysis daily instead of weekly. That means you're getting fresh suggestions every morning based on the latest data. The annual lookback gives the AI enough context to identify year-over-year trends and build workflows around predictable seasonal behaviour.

All three tiers include the core AI Assistant features you might already be using, like the workflow chat assistant, clash detection, and event analysis in your dashboard.

Why this matters for your conversion rates

The data on automated email workflows is hard to ignore. Triggered emails consistently outperform batch sends by a wide margin. Industry benchmarks show that automated sequences see open rates three to five times higher than standard campaigns, and transaction rates from triggered emails can be six times higher than batch sends. Businesses that implement onboarding and re-engagement automations typically see churn drop by 15 to 25 percent.

But here's the thing. Knowing those numbers doesn't help if you never build the workflows. The gap between "we should automate that" and "we have automated that" is where most email programs stall. AI Workflow Suggestions bridges that gap by doing the work of identifying what to automate and building the first draft. You just review and ship.

Getting started

If you're on any paid MailJunky plan, you can add an AI Assistant tier from your billing settings. Once it's active, make sure you have events flowing through your account. The richer your event data, the better the suggestions will be.

Your first analysis will run on the next scheduled cycle. For the weekly tiers, that's within seven days of activation. For Enterprise, it's the next day. When the analysis completes, you'll get an email with a summary of what was generated. You can also head to your Workflows page and look for the "AI Suggested" badge on any new drafts.

Every suggestion is a fully-formed workflow ready to review, adjust if needed, and enable. No prompt engineering, no templates to configure, no guesswork.

What we're building next

This is just the start of proactive AI in MailJunky. We're already working on the next wave of capabilities. AI-driven A/B testing that recommends subject line and content variants based on your audience, send-time optimisation that automatically schedules emails for peak engagement windows, and segment-based workflow suggestions that tailor automations to different user cohorts rather than treating everyone the same.

The goal is simple. MailJunky should be the email platform that works for you, not the other way around. AI Workflow Suggestions is a big step in that direction.

Get started with AI Workflow Suggestions, available now on all paid plans.