In today's fast-paced digital landscape, businesses juggle a dizzying array of SaaS tools, internal databases, and third-party APIs. The critical processes that drive growth—like onboarding new users, enriching sales leads, or personalizing customer outreach—are often fragmented, manual, or held together by brittle "glue code." Traditional automation helps, but it often falls short when faced with complex logic and dynamic, real-world scenarios.
What if you could treat your business logic like mission-critical software? What if you could design, deploy, and scale complex processes as reliable, version-controlled services?
This is the promise of "Business-as-Code," a paradigm where your core operations are defined in code, making them robust, scalable, and intelligent. With platforms like Workflows.do, this future is here, powered by AI agents and an event-driven architecture.
For years, automation has been synonymous with simple "if-this-then-that" (IFTTT) models. A new entry in a spreadsheet triggers an email. A form submission creates a CRM contact. These are useful, but they break down when a process requires multiple steps, conditional logic, or data from several sources.
The alternative—writing custom scripts—creates its own set of problems:
We need a better way. We need to move from simple automation to true orchestration.
This is where the concept of an Agentic Workflow changes the game. It's not just about executing a predefined set of instructions. An Agentic Workflow uses AI Agents as active participants in the process. These agents can reason, conduct research, make decisions, and take action, transforming a simple linear process into a dynamic, intelligent operation.
Instead of just imagining it, let's look at what this means in practice. Here’s how you could use Workflows.do to create a powerful, fully automated user onboarding experience, defined in simple Typescript.
In this single, coherent workflow, you've replaced what would have been a fleet of separate tools and manual steps with one reliable, intelligent service. This is "Intelligent Workflows, Delivered as Code."
The example above is made possible by a platform built on a few core principles, essential for modern business process automation.
Your business runs on events: a user signs up, a payment is processed, a support ticket is created. A modern workflow system should react to these events instantly. Workflows on .do can be triggered by anything—a webhook from Stripe or HubSpot, a CRON schedule for nightly reports, or a direct API call from your own application.
A workflow orchestrator is only as good as the tools it can connect to. The .do platform is built for integration. You can connect to any third-party API, internal database, or proprietary service directly within your Typescript code. This allows you to orchestrate complex actions across your entire tech stack, from your CRM to your data warehouse to your marketing platform.
When you codify a critical business process, it has to work. Every time. Workflows.do provides enterprise-grade reliability features out of the box, including:
While workflows are defined in Typescript, the true power is in abstracting this logic into a simple, reusable service. Once the onUserSignup workflow is deployed, non-technical team members don't need to know how it works. They simply know that every new signup is handled perfectly. This empowers developers to build powerful internal tools that the entire organization can leverage, turning complex code into a simple, effective service.
The shift to Business-as-Code is about more than just efficiency. It’s about building a more resilient, intelligent, and scalable organization. By defining your core processes in code, you gain the ability to version, test, and improve them just like any other software product. By infusing them with AI agents, you unlock a level of personalization and automation that was previously impossible.
Ready to transform your complex business processes into reliable, event-driven services?
Explore Workflows.do and start building your first agentic workflow today.
import { AI } from 'workflows.do'
export default AI({
onUserSignup: async ({ ai, api, db, event }) => {
const { name, email, company } = event
// 1. Enrich contact details from multiple external 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
// 2. Use AI Agents to perform deep, contextual research
const companyProfile = await ai.researchCompany({ company })
const personalProfile = await ai.researchPersonalBackground({ name, enrichedContact })
const githubActivity = githubProfile ? await ai.summarizeGithubActivity({ githubProfile }) : undefined
// 3. Let an AI Agent craft and schedule a personalized outreach
const emailSequence = await ai.personalizeEmailSequence({ name, company, personalProfile, companyProfile, githubActivity })
await api.scheduleEmails({ to: email, sequence: emailSequence })
// 4. Summarize, persist, and notify the team
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 } })
},
})