Forget the fragmented workflow automation tools that need a developer for every change. Just describe your process in plain English and Revo builds the workflow for you. This is what agentic automation actually looks like artificial intelligence that creates, guides, and fixes your workflows without requiring a developer in the loop. A workflow automation platform that finally meets the team where the ideas actually start.
Type the process you want to happen in your own words, no diagrams, no node names, no syntax. The agentic artificial intelligence inside Revo reads the description, picks the right trigger, builds the steps, wires the variables between them, and walks you through everything it chose. Activate it when you are happy. Refine it later by describing what you want to change, not by editing boxes on a canvas.
Plain English Input
Type or paste a description of the process you want to automate in your own words. “When a new lead comes in from the website form, add them to the customer database, send them a welcome email, and notify the assigned sales rep on the team chat.” That is the entire input. No diagrams, no node names, no syntax to learn, no menu of trigger types to choose from before you have even started thinking.
Generation Engine
The agentic intelligence reads your description, identifies the right trigger event, picks the steps that should run, wires the variables between them, sets up the branching logic, and connects to the right internal and third party applications. A workflow that used to take an afternoon of dragging boxes around a canvas appears in front of you fully assembled in the time it took to write the description.
Guided Review
The generated workflow comes with annotations explaining exactly why each step is there, which application it connects to, what data it expects, and what assumptions the artificial intelligence made along the way. Click into any step to confirm, change, or refine it by describing what you want different rather than editing the underlying configuration. The review feels like a conversation with a teammate who built the first draft for you.
Self Healing Execution
Once the workflow is live, the agentic intelligence keeps watching. A third party application changes a field name, a service times out, a step starts failing on a specific data pattern. Revo detects the problem, explains what is happening in plain English, and proposes a fix you can approve with one click. Failed workflows stop being a midnight ticket and start being a notification with a suggested resolution already waiting for you.
Once a team has used an agentic automation platform that turns a sentence into a running workflow instead of fighting a node based canvas for two days only to discover it does not connect to the application they actually needed the old way of building business automations starts to feel like writing a memo on a typewriter. These are the changes that show up first.
The standard "I have an idea for an automation" pattern used to involve a meeting with engineering, a backlog ticket, and a two week wait for someone to find time to build it. With agentic workflow generation, the operations lead describes the idea, sees the generated workflow appear, refines a couple of choices, and activates it before lunch. The cycle from idea to running automation collapses from weeks to minutes.
The marketing director who needs a new lead routing rule, a campaign trigger, or a follow up sequence does not file a ticket and wait. They describe what they want in the same words they would use in a meeting, the workflow appears, they review the choices, they ship it. Engineering capacity that used to go into routine automation work stays focused on the actual product roadmap.
Early stage founders and small business owners who do not have a developer on staff still need their business to run on real automation. Describing the process in plain English bypasses the need for technical skills entirely. The same intelligence that helps an enterprise operations team also helps a one person business owner wire up their tools, with no compromise on what the resulting workflow can do.
The agentic intelligence does not stop working when the workflow goes live. It keeps watching every execution, catches the failures the moment they happen, and proposes a fix in plain English. The classic three in the morning failure that used to wake somebody up and ruin a Tuesday morning becomes a notification with a suggested resolution that the owner approves over their coffee, with the workflow already back to healthy.
People do not naturally think in trigger nodes, action steps, and conditional branches. They think in processes "when X happens, do Y, then check Z". Letting the team describe a workflow the way they think about the work removes the entire translation step that used to sit between an idea and an implementation. The cognitive overhead of learning a node based tool disappears.
The cost of trying a new workflow drops to almost zero. The marketing lead has an idea in the morning standup, describes it after the meeting, has a working version by lunch, and learns within a week whether it was worth keeping. Experimentation finally becomes part of how the business operates, instead of a luxury reserved for ideas big enough to justify a multi-week build.
The standard "I have an idea for an automation" pattern used to involve a meeting with engineering, a backlog ticket, and a two week wait for someone to find time to build it. With agentic workflow generation, the operations lead describes the idea, sees the generated workflow appear, refines a couple of choices, and activates it before lunch. The cycle from idea to running automation collapses from weeks to minutes.
The marketing director who needs a new lead routing rule, a campaign trigger, or a follow up sequence does not file a ticket and wait. They describe what they want in the same words they would use in a meeting, the workflow appears, they review the choices, they ship it. Engineering capacity that used to go into routine automation work stays focused on the actual product roadmap.
Early stage founders and small business owners who do not have a developer on staff still need their business to run on real automation. Describing the process in plain English bypasses the need for technical skills entirely. The same intelligence that helps an enterprise operations team also helps a one person business owner wire up their tools, with no compromise on what the resulting workflow can do.
The agentic intelligence does not stop working when the workflow goes live. It keeps watching every execution, catches the failures the moment they happen, and proposes a fix in plain English. The classic three in the morning failure that used to wake somebody up and ruin a Tuesday morning becomes a notification with a suggested resolution that the owner approves over their coffee, with the workflow already back to healthy.
People do not naturally think in trigger nodes, action steps, and conditional branches. They think in processes "when X happens, do Y, then check Z". Letting the team describe a workflow the way they think about the work removes the entire translation step that used to sit between an idea and an implementation. The cognitive overhead of learning a node based tool disappears.
The cost of trying a new workflow drops to almost zero. The marketing lead has an idea in the morning standup, describes it after the meeting, has a working version by lunch, and learns within a week whether it was worth keeping. Experimentation finally becomes part of how the business operates, instead of a luxury reserved for ideas big enough to justify a multi-week build.
Plain English in. Full working workflow out. Self healing the moment something changes. This is what agentic business process automation was meant to look like.
7600+
Teams shipping workflows without
a developer
Operations specialists, marketing leaders, customer success managers, founders, sales operations teams, and revenue leaders use Revo as the workflow automation platform that finally lets them ship automations themselves. The plain English input is the brief. The generation engine is the developer. The guided review is the architect. The self healing execution is the operator on call. Every team a small business owner wiring up their tools or a larger organisation running hundreds of business process automations gets the same agentic intelligence and the same speed from idea to running workflow.
English Input
Generation
Application Connectors
Healing
The agentic artificial intelligence reads your plain English description, picks the right trigger event, builds the steps in the right order, wires the variables between them, and connects to the right internal and third party applications. The workflow that used to take an afternoon of dragging boxes appears in the time it took to write the description, ready to review and activate.
A complete agentic workflow automation platform built on the idea that the person who knows what should happen is the person who should be able to build it. Plain English input, full workflow generation, guided review, error self healing, and connectivity to every internal and third party application come together in one intelligent layer so the team ships automations themselves.
Describe the process you want to automate in your own words and the agentic intelligence generates the full workflow trigger, steps, branching, variables, connections ready to review and activate. No node based canvas to learn, no syntax to fight, no menu of trigger types to scroll through before you have even started thinking.
The generated workflow comes with plain English annotations on every step explaining why it is there, which application it talks to, what data it expects, and what assumption the intelligence made. Refining a step is a conversation, not a configuration form describe what you want different and the workflow updates itself in front of you.
Once the workflow is live, the agentic intelligence keeps watching. A third party service changes a field name, an external application times out, a step starts failing on a specific data pattern Revo detects the problem, explains it in plain English, and proposes a fix you can approve with one click. Workflows heal themselves.
The generation engine knows about every internal Worksbuddy product including the customer database, the task manager, the e-sign service, and the accounting platform, plus more than a thousand third party applications across email, messaging, scheduling, payments, social, storage, and developer tools. If the application exists, the workflow can use it.
Every generated workflow opens in a preview state where you can see every step, every connection, and every variable before any data flows through it. Test a single step in isolation against a real payload, walk through the entire run with sample data, or activate when you are confident. The path from generation to going live is yours to control.
Refining an existing workflow uses the same plain English interface as building one. "Add a step that posts to the team chat when the deal is over fifty thousand dollars" or "remove the email confirmation after the calendar invite". The workflow updates the moment you describe the change, with the same review and approval flow as the original generation.
Describe the process you want to automate in your own words and the agentic intelligence generates the full workflow trigger, steps, branching, variables, connections ready to review and activate. No node based canvas to learn, no syntax to fight, no menu of trigger types to scroll through before you have even started thinking.
The generated workflow comes with plain English annotations on every step explaining why it is there, which application it talks to, what data it expects, and what assumption the intelligence made. Refining a step is a conversation, not a configuration form describe what you want different and the workflow updates itself in front of you.
Once the workflow is live, the agentic intelligence keeps watching. A third party service changes a field name, an external application times out, a step starts failing on a specific data pattern Revo detects the problem, explains it in plain English, and proposes a fix you can approve with one click. Workflows heal themselves.
The generation engine knows about every internal Worksbuddy product including the customer database, the task manager, the e-sign service, and the accounting platform, plus more than a thousand third party applications across email, messaging, scheduling, payments, social, storage, and developer tools. If the application exists, the workflow can use it.
Every generated workflow opens in a preview state where you can see every step, every connection, and every variable before any data flows through it. Test a single step in isolation against a real payload, walk through the entire run with sample data, or activate when you are confident. The path from generation to going live is yours to control.
Refining an existing workflow uses the same plain English interface as building one. "Add a step that posts to the team chat when the deal is over fifty thousand dollars" or "remove the email confirmation after the calendar invite". The workflow updates the moment you describe the change, with the same review and approval flow as the original generation.
Common questions about how Revo turns a plain English description into a working workflow, what the agentic intelligence can connect to, how the self healing works, and whether you can still edit the underlying configuration when you need to.
The agentic intelligence reads your description, identifies the events you mentioned, the actions you want taken, and the conditions you want applied. It maps those elements to the right trigger types, action steps, and branching logic on the platform, then picks the applications and configuration that match what you described. The full reasoning is shown in the guided review, so you can see exactly how your sentence became a workflow.
Type the process. Watch the workflow appear. Refine in plain English. Activate when ready. Self heals when the environment changes. That is what agentic automation was meant to look like.