How do parallel AI agents work in Fluenta One?

Unlike traditional software that runs queries one after another, Fluenta One can launch several AI branches at once. In the budget planning example, four agents run in parallel: one checks the planned budget, one totals costs already paid, one monitors committed but unpaid obligations, and one calculates the amount actually available, handing back finished data in seconds.

What is the difference between a Human Task and a Service Task?

A Human Task is a point where the process stops and waits for a person to act or decide. A Service Task requires no human involvement and is executed automatically by AI agents, API calls, or predefined rules, completing in seconds.

Why is the Fluenta One workflow approach future-proof?

Because processes are made up of clean [S] and [H] elements, modifying a process does not require months of development. When a new rule is needed, a new Service Task block is simply dropped into the chain and the process is ready to run.

How does pressing a single button trigger an entire process?

The user only presses the button, which is a Human Task. Behind the scenes, a set of Service Tasks runs in parallel, with AI agents, API calls, and automated rules doing the work and returning finished data within seconds.

Behind the button: inside a Fluenta One workflow

Q: What are the two building blocks of a Fluenta One workflow?

Every Fluenta One process is built from just two element types. A Human Task [H] is where the system pauses and waits for a human decision, such as filling out a form, approving a contract amendment, or making a strategic call. A Service Task [S] is carried out by AI agents, API calls, or automated rules, with no human involvement and results delivered in seconds.

Fluenta One

Workflow

Published on

July 15, 2026

Updated on

July 29, 2026

Author

Fluenta One

Reading time

2

MInutes

You fill out a form, press a button, and behind the scenes the system is already at work, delivering a finished answer in seconds. This is what happens under Fluenta One's hood, and it comes down to two simple building blocks.

1. The two building blocks: who does the work?

Every Fluenta One process is built from just two types of elements—this is the key to the system's flexibility.

[H] Human Task: when the system pauses and waits for a human decision. This could be filling out a form, approving a contract amendment, or making a strategic call.

[S] Service Task: this is where the magic happens. This step is carried out by AI agents, API calls, or automated rules—no human involvement, done in seconds.

2. The highlight: 4 parallel AI agents

The budget planning example really shows what the system can do. Unlike traditional software, which runs queries one after another, Fluenta One launches four AI branches at once:

Agent I – checks the planned budget
Agent II – totals the costs already paid
Agent III – monitors committed but not yet paid obligations
Agent IV – calculates the amount actually available

Here's the point: you just press the button (Human Task), while behind the scenes an entire digital team works in parallel (Service Tasks) to hand you finished data in seconds.

3. Why is this approach future-proof?

Because the system is made up of clean [S] and [H] elements, modifying a process doesn't require months of development. New rule? We simply drop a new [S] block into the chain, and the process is ready to go.

Curious what this process looks like live, from the interface to the last data point? Watch the video above—you can follow the entire workflow in two minutes. If you'd like to see it with your own workflows, book a demo.