Business processes are the lifeblood of any company. But too often, they're a fragile web of manual tasks, brittle scripts, and siloed applications. The promise of AI Automation is to fix this, but simply adding an AI call to a shaky foundation doesn't create stability—it creates a more complex system with more points of failure.
How do you automate complex research, personalization, and execution without building a house of cards?
This is the core problem Workflows.do was built to solve. We believe in transforming complex business logic into reliable, event-driven services. The .do in our name is a promise: your critical processes will get done. This is the '.do' difference—intelligent workflows that are not just powerful, but fundamentally reliable.
First, let's define a key concept. A traditional workflow is a simple, linear sequence: IF this THEN that. An Agentic Workflow is different. It uses AI Agents as active participants in the process.
As our FAQ explains, "Instead of just executing predefined logic, these agents can reason, research, and make decisions to handle complex, dynamic tasks."
Consider this real-world example of a workflow triggered when a new user signs up, written in simple Typescript:
import { AI } from 'workflows.do'
export default AI({
onUserSignup: async ({ ai, api, db, event }) => {
const { name, email, company } = event
// Enrich contact details with lookups from external data sources
const enrichedContact = await api.apollo.search({ name, email, company })
const socialProfiles = await api.peopleDataLabs.findSocialProfiles({ name, email, company })
const githubProfile = socialProfiles.github ? await api.github.profile({ profile: socialProfiles.github }) : undefined
// Using the enriched contact details, do deep research
const companyProfile = await ai.researchCompany({ company })
const personalProfile = await ai.researchPersonalBackground({ name, enrichedContact })
const githubActivity = githubProfile ? await ai.summarizeGithubActivity({ githubProfile }) : undefined
// Schedule a highly personalized email sequence to optimize onboarding
const emailSequence = await ai.personalizeEmailSequence({ name, company, personalProfile, companyProfile, githubActivity })
await api.scheduleEmails({ to: email, sequence: emailSequence })
// Summarize everything, save to the database, and post to Slack
const details = { enrichedContact, socialProfiles, githubProfile, companyProfile, personalProfile, githubActivity, emailSequence }
const summary = await ai.summarizeContent({ length: '3 sentences', details })
const { url } = await db.users.create({ name, email, company, summary, ...details })
await api.slack.postMessage({ channel: '#signups', content: { name, email, company, summary, url } })
},
})
This isn't just a script. It's a multi-step investigation and action sequence involving:
In a traditional setup, if any one of these dozens of steps fails—a third-party API times out, the AI returns an unexpected result, the database write fails—the entire process collapses. The '.do' difference is ensuring it doesn't.
The secret to reliability at scale is a robust Event-Driven Architecture. Instead of being a single, monolithic script, every workflow is triggered by an event.
What's an event?
This event-driven model decouples the trigger from the execution. When an event occurs, it's placed into a queue. The workflow then picks it up and begins execution. This separation is the key to resilience. If your service is busy or a downstream API is temporarily down, the event isn't lost. The workflow can be retried without losing the initial trigger.
We understand that in the real world, things break. APIs go down. Networks lag. AI models give inconsistent output. A truly reliable system for Business Process Automation must be built with failure in mind.
Workflows.do has reliability features baked into its core:
A workflow is only as powerful as the tools it can command. The .do platform is built for integration. As you can see in the code example, you can seamlessly connect to any tool in your stack:
By defining these connections as code, developers can create powerful, reusable services. This leads to the concept of 'Services-as-Software'. A developer writes a reliable Typescript Workflow once, and the entire team—sales, marketing, support—can benefit from it, often without ever writing a line of code themselves.
Don't just automate tasks; build intelligent, resilient business processes. Workflows.do provides the reliability layer that Agentic Workflows demand, allowing you to move beyond simple scripts and start building powerful services.
Transform your most complex processes into reliable, event-driven workflows that just work.
Ready to automate anything, instantly? Explore Workflows.do today.