The MadeEasy platform
On MadeEasy, a job becomes a process: a task, or a set of tasks, that must be completed based on criteria you set. AI agents carry it out from your own documents and systems, and pause for a person whenever something needs sign-off. Below is what a process is made of, and how it stays under your control.
Available on the cloud at madeeasy.agenticauto.net, or self-host it on your own infrastructure.
See it in action
From a plain-English description to agents doing real work, proven on examples, then live.
The Automation Hub: manage and monitor the processes you have deployed, each a team of agents.
Once live, every run is measured: success rate, duration and cost, with a full execution history.
Proven before go-live: every test case runs on the version you promote, and MadeEasy only takes it live once every check passes.
How it works
Write what the process does in plain English. MadeEasy builds the team of agents that runs it.
Every process is tried on real examples and has to pass before it goes live. No surprises in production.
On a schedule, on demand, or the moment something happens in your systems: a new email, a form, a record update, an incoming request. Every action recorded, and reversible.
Fast to value: MadeEasy designs a process in minutes, from a support assistant to a daily reconciliation, then tests it on your past cases before it goes live.
What a process does
Whatever the job, a MadeEasy process combines the same three abilities, and runs whenever you need it to.
Replies to people from your own policies, documents and data, not generic answers.
Doesn't just reply. It does the work behind the request, calling only the tools you allow.
Stops for human sign-off the moment something needs judgement or approval.
How MadeEasy keeps every process tested, recorded and under your control →
Runs on a schedule, on demand, or the moment something happens in your systems. Run as many processes as your business needs, side by side.
Built for production
AI is used only where a judgement or a written answer is needed. Everything else runs as ordinary software, and the cost of every task is shown.
Handles volumes far beyond what a spreadsheet can open. In our own tests, a year of transactions, 75 million records, was ready to work on in minutes.
Every process is tested on real examples and goes live only when it passes, so what reaches your customers is what you approved.
When something goes wrong, MadeEasy explains why in plain words and proposes the fix. Nothing changes until someone on your team says yes.
Connects to the systems and software you already run, and checks that every connection works before anything goes live.
Choose the AI provider that fits each task, on your own accounts, and change it as the market moves.
Example processes
A process is a team of agents for one specific job. Here's what that looks like across industries.
Not listed? If a process is written down somewhere, whether a handbook, a spreadsheet, or someone's head, MadeEasy can likely run it.
Hosting
The same platform, wherever you need it to run.
MadeEasy Cloud
Fully managed on our infrastructure: the fastest way to go live, with no infrastructure to set up or maintain.
Self-host
Deployed in your own cloud, against your own model keys. Your data never leaves your account.
Under the hood
For the technical evaluator: a process is written once as phases and steps, versioned, and executed the same way every time.
Phases & steps
A process is an ordered set of phases, and each phase holds steps. A step names the sub-agent that performs it, the tools that sub-agent may call, and whether a person signs off before the run continues. Because the structure is explicit, you can change one step without re-testing the whole process.
Fig 1 · a phase and its steps, each with the sub-agent it calls, when it runs and its approval gate
Flow diagram
The same definition, drawn start to end. Operations teams read the diagram; the runtime reads the definition. There is no second model of the process to keep in sync.
Fig 2 · the process drawn from entry to completion
Sub-agents & tools
A cheap model handles classification, a stronger one handles the judgement calls, and neither can reach a tool it was not granted.
Fig 3 · a sub-agent with its assigned tools and model
Versioning & limits
| Property | Default | Config |
|---|---|---|
| Process versions retained | All | ✓ |
| Step retries before halt | 3 | ✓ |
| Run history retention | Unlimited | ✓ |
| Audit log immutability | Enforced | n/a |
Economics
Most automation tools charge for every task, so the more work you automate, the more you pay. A process that runs every day becomes a growing bill. MadeEasy is built the other way around.
You are not metered per action or per run. A process that runs daily does not cost more just for running more often, so your bill does not grow with your volume.
Self-host on your own infrastructure and run unlimited processes and runs at a predictable, fixed cost, exactly the heavy workloads that per-task tools punish.
A cheap model handles the routine steps and a stronger one only the judgement calls, so each run takes the least expensive path that works.
You describe a process in a conversation instead of paying engineers to design and maintain custom automation, and there is nothing to rebuild when it changes.
Bring your own model keys and run it on the cloud or your own servers. See pricing for plans.
Thirty minutes, your process, our console.
