Customer onboarding is your first, best chance to make a lasting impression. A smooth, personalized experience can turn a new user into a lifelong advocate. But a clunky, manual, or slow process can lead to frustration and early churn. The challenge is that a truly great onboarding experience involves multiple steps: verifying data, personalizing content, sending communications, and updating internal systems.
Traditionally, automating this required stitching together a fragile web of webhooks, serverless functions, and third-party tools. It was brittle and hard to manage. Today, there's a more powerful approach: the agentic workflow, executed by an autonomous digital worker.
This guide will show you how to build a fully automated customer onboarding process using Ivy.do, an autonomous AI agent that executes complex business workflows as code. Let's deploy your first digital teammate and delight new users from day one.
Before we dive in, let's clarify what we mean by an "agentic workflow." Unlike traditional automation that follows a rigid, linear set of "if-this-then-that" rules, an agentic workflow is managed by an autonomous agent.
This is where Ivy comes in. Ivy is a digital worker, an autonomous agent you can configure and deploy to perform specific business functions. You don't just give it a script; you give it a role, a goal, and the tools it needs to succeed.
A robust onboarding process is more than just a welcome email. Here are the key steps we'll automate with our Ivy agent:
Now, let's build this with Ivy.
Using the Ivy.do SDK, you can define and assign these complex tasks in just a few lines of code.
First, you need to create an instance of Ivy and give it a persona. This helps define its purpose and capabilities. For this task, we'll configure our agent as an "Onboarding Specialist."
import { ivy } from '@do/sdk';
// Create a new instance of your digital worker
// This is your dedicated onboarding agent.
const onboardingAgent = ivy.create('ivy-onboarding-01', {
persona: 'Onboarding Specialist'
});
This code deploys a digital worker named ivy-onboarding-01. You can think of this as hiring a new digital teammate and giving them their job title. The .do platform handles all the underlying infrastructure to keep your agent running reliably.
Next, whenever a new user signs up in your application, you assign the onboarding task to your agent. You provide a high-level objective and a list of instructions that serve as the agent's playbook.
// This function would be called after a new user signs up
async function startOnboarding(user) {
// Assign a complex, long-running task to your agent
const job = await onboardingAgent.assign({
task: `Process the new user signup for ${user.email}.`,
instructions: [
'Validate email address and enrich user data using clearbit.do',
'Using the enriched data, create a personalized welcome document with content.do',
'Send a welcome email with a link to the document via courier.do',
'Create a new contact record in the CRM via salesforce.do'
],
context: {
userId: user.id,
email: user.email,
name: user.name
}
});
console.log(`Job ${job.id} started. Ivy is on it.`);
}
Let's break down what's happening here:
Ivy will now begin executing this long-running job in the background. It will call the clearbit.do service, use the results to call content.do, and so on, until the entire workflow is complete.
It's important to understand that Ivy is not another chatbot or a simple automation script.
By replacing fragile, custom-coded scripts with a robust, autonomous digital worker, you can deliver a world-class onboarding experience that scales effortlessly. You save valuable engineering time, reduce manual errors, and ensure every new user gets a consistent and personalized welcome.
This same agentic workflow pattern can be applied to countless other business processes: lead qualification, report generation, support ticket triage, and more.
Ready to deploy your first digital teammate? Get started with Ivy.do today and transform your business process automation.