Enterprise Agentic SuiteEnterprise Agentic Loops
Entire processes that run on their own, with a person in charge when it matters.
An event triggers the loop, AI analyzes and decides within the rules you define, and the result arrives as an email, an alert or an action in your platform. Custom implementations, built on the openloops framework.
- Triggered by events
- Supervised or autonomous
- Built on openloops
- Custom-built
Trigger
Every day at 6:00 AM
Scheduled trigger
Loop
Analyzes stoppages and line readings
Cross-checks the maintenance calendar
Review
No review
Autonomous loop
Output
Slack alert and maintenance order
In the maintenance platform
Illustrative simulation.
Watch it work
Three processes from three different areas. Nobody starts the run: an event triggers it.
Every day at 6:00 AM
Scheduled trigger
- Reads stoppages and line readings
- Detects rising vibration in a motor
- Cross-checks the maintenance calendar
- Alerts on Slack and opens an order
Autonomous
Sending an alert and opening an order is a low-risk action
Illustrative simulation.
For regulated decisions, such as a loan, we recommend a supervised loop: AI prepares the analysis and a person decides.
How a loop is configured
Every loop is defined by three decisions: what triggers it, how much autonomy it has and what it delivers.
What triggers it
A schedule
For example, a systems diagnostic every day at the same time.
An event
For example, a new application arriving in your platform.
A threshold
For example, inventory dropping below a certain level.
How much autonomy it has
Autonomous
Runs from start to finish with no human intervention. Ideal for low-risk actions.
Supervised
A person reviews and approves the critical steps before they run.
Mixed
Autonomy depends on a rule, for example the amount of the operation.
What it delivers
An email
A notice or a summary to whoever needs it.
A Slack message
A notification in the team's channel.
An alert
An immediate notice when something needs attention.
An action in your platform
For example, opening an order or updating a record.
Built on openloops
Every loop is built on openloops, the open source framework for production AI agents. You get the solidity of the runtime and a process made to measure.
- Automatic persistence of every run
- Retries and crash recovery
- Confirmations for critical actions
- Any LLM provider
Other processes you can automate
A few examples of processes with the same traits: a clear trigger, defined rules and a concrete result.
- Insurance claims
- Customer document validation
- Invoice reconciliation
- Purchase order approval
- Periodic operations reports
- Tracking contracts about to expire
How we work
A custom implementation, in four stages.
- 1
Understand the process
We identify which task is automated, what triggers it, which rules it applies and what it must deliver.
- 2
Design the loop
We define the level of autonomy and the moments when a person steps in.
- 3
Build and validate
We build the loop on openloops and validate it with cases from your operation.
- 4
Go live
We connect it to your platforms and to the channels where you will receive the results.
Scope depends on each process.
Frequently asked questions
What is an agentic loop?+
It is an entire process that runs on its own. An event triggers it, AI analyzes the information and decides within the rules you define, and the result arrives as an email, an alert or an action in your platform.
How is it different from a chatbot?+
A chatbot waits for someone to ask. A loop doesn't need anyone to start it: a schedule, an event or a threshold triggers it, and it works until it delivers a result.
Is it always 100% autonomous?+
No. It can be autonomous, supervised, or mixed according to a rule such as the amount of the operation. In a supervised loop, a person reviews and approves the critical steps before they run.
What can trigger a loop?+
A schedule, for example every day at 6:00 AM. An event, such as a new application arriving. Or a threshold, such as inventory dropping below a certain level.
What does a loop deliver?+
It depends on how the output is configured: an email, a Slack message, an alert or an action in one of your platforms, such as opening an order or updating a record.
Can it decide a loan on its own?+
For regulated decisions such as a loan, we recommend a supervised loop: the loop prepares the analysis, the reasons and the confidence level, and a person makes the final decision.
What is it built on?+
On openloops, the open source framework for building production-ready, multi-user AI agents. Every implementation is custom-built.
How much does it cost?+
It depends on the process being automated. We define it after understanding what triggers the loop, which rules it applies and what it must deliver.
Let's talk about the processes you want to automate
Tell us which task repeats in your operation and we'll show you how it would look as a loop.