Business process automation is no longer a luxury; it's a necessity for scaling operations. Yet, many teams find themselves tangled in a web of brittle, visual automation tools. These no-code builders promise simplicity but often deliver complexity and unreliability, especially when processes become sophisticated. When you introduce AI into the mix, the need for a robust, observable, and scalable foundation becomes critical.
What if you could treat your mission-critical business logic with the same rigor as your application code?
This is the promise of Workflows.do: A platform designed to help you build, deploy, and monitor reliable, event-driven, and AI-powered workflows that connect your entire business stack. It's time to move beyond fragile automations and turn complex operational processes into simple, observable services.
Visual drag-and-drop automation tools are excellent for simple, linear tasks. Need to post a message to Slack when a new entry is added to a spreadsheet? Perfect.
But what happens when your process grows?
Suddenly, your neat visual flow becomes a sprawling, unmanageable diagram. Version control is non-existent, testing is a manual nightmare, and when something fails in a multi-day process, debugging is a black box. This is where the "Business-as-Code" paradigm changes everything.
At Workflows.do, we believe your business logic is a first-class asset. The Business-as-Code approach means defining your automation flows directly in code, unlocking all the benefits of modern software development practices:
Instead of just talking about it, let's look at what this looks like in practice. Here is a Workflows.do agent designed to create an intelligent, personalized onboarding experience for every new user.
import { AI } from 'workflows.do'
export default AI({
onUserSignup: async ({ ai, api, db, event }) => {
const { name, email, company } = event
// 1. Enrich contact details with multiple 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({ name, email, company, profile: socialProfiles.github }) : undefined
// 2. Use AI to perform deep research based on enriched data
const companyProfile = await ai.researchCompany({ company })
const personalProfile = await ai.researchPersonalBackground({ name, email, enrichedContact })
const socialActivity = await ai.researchSocialActivity({ name, email, enrichedContact, socialProfiles })
const githubActivity = githubProfile ? await ai.summarizeGithubActivity({ name, email, enrichedContact, githubProfile }) : undefined
// 3. Generate a personalized, AI-driven action plan
const emailSequence = await ai.personalizeEmailSequence({ name, email, company, personalProfile, socialActivity, companyProfile, githubActivity })
await api.scheduleEmails({ emailSequence })
// 4. Summarize, persist, and notify
const details = { enrichedContact, socialProfiles, githubProfile, companyProfile, personalProfile, socialActivity, githubActivity, emailSequence }
const summary = await ai.summarizeContent({ length: '3 sentences', name, email, company, ...details })
const { url } = await db.users.create({ name, email, company, summary, ...details })
await api.slack.postMessage({ channel: '#signups', content: { name, email, company, summary, url } })
},
})
Let's break down what's happening in this powerful, yet readable, workflow:
Q: What makes workflows.do different from traditional automation tools?
A: workflows.do treats business logic as first-class code. This 'Business-as-Code' approach enables version control, testing, and collaboration, offering unparalleled reliability, observability, and power compared to brittle visual builders.
Q: How are workflows triggered on the platform?
A: Workflows can be triggered by a variety of events, including direct API calls, webhooks from third-party services, scheduled timers (cron jobs), or events emitted from other .do agents, allowing seamless integration anywhere in your stack.
Q: Can I use AI within my workflows?
A: Yes. The platform is built with AI at its core. You can easily integrate AI agents to perform tasks like data enrichment, content generation, summarization, and complex decision-making, turning simple automation into intelligent operations.
Q: How do you ensure the reliability of long-running processes?
A: The platform is designed for durability. It automatically handles state management, retries with exponential backoff, and error handling. Long-running workflows are fully observable, ensuring that even complex, multi-day processes complete successfully.
Stop wrestling with fragile tools that can't keep up with your business. By embracing a code-first, AI-native approach, you can build automation that is not only powerful but fundamentally more reliable. Define your most complex processes as clean, observable services and let your team focus on what they do best.
Ready to automate any business process as code? Explore Workflows.do and transform your operations.