Interpret
Read a request, document or event and extract the information required to start the process.
Operational AI agents for businesses in Barcelona
We design AI agents that interpret information, coordinate multiple steps and act in your tools with boundaries and human oversight.
AI agents that execute complete processes, not just one task
An operational agent receives a goal, interprets the available information and coordinates several actions to move a process forward. It can query systems, prepare a response, update a record and request validation when required.
Unlike rule-based automation, it can work with variable inputs and choose between previously authorised alternatives. Its autonomy is always limited by permissions, validations and escalation criteria.
We design each agent around a specific business process, defining what it can access, which actions it can execute and when it must stop and escalate the case to a person.
On a day-to-day basis, this translates into fewer interruptions, less dependence on specific people, and much more stable operations. The team stops worrying about repetitive tasks and can focus on what really adds value to the business, something key to improving productivity and growing with less friction
It also allows greater visibility of what is happening in the company: what processes are in place, where there are blockages and what can be improved. It's not just about automating for the sake of automating, but about gaining control and clarity in the internal functioning.
Over time, these automated processes become a solid foundation on which the company can grow without increasing chaos. More work does not mean more disorder, but rather systems that absorb that growth naturally.
In short, you go from depending on the constant effort of the team to having processes that work on their own, in an orderly, predictable way and without unnecessary errors.
Find out which business processes can run autonomously.
Benefits
- They automate tasks that previously required constant intervention.
- They reduce errors and dependence on manual processes.
- They allow your team to focus on higher-value tasks.
Find out which business processes can run autonomously.
Contact nowApplication examples
Generation
automatic reporting
Management
inventory
Processing
internal data
Tracking
of operations
Controlled operation
Autonomy to progress; oversight for decisions.
An operational agent does not receive unlimited access or make decisions without context. It is designed with a specific goal, authorised tools, verifiable limits and clear points for human intervention.
Plan
Select an authorised sequence according to context, rules and the assigned objective.
Execute
Query applications, update data and complete actions while recording the activity.
Escalate
Stop the workflow and request human review when information is missing or a decision is sensitive.
Controls by design
What prevents the agent from acting outside its role
Minimum permissions
It can only access and modify the sources required for its assigned process.
Action boundaries
Available operations, amounts, statuses and conditions are explicitly limited.
Logging and validation
Every relevant step is traceable and may require a check before continuing.
Human escalation
Exceptions and sensitive decisions are passed to the responsible person with context.
Example: managing an operational incident
The aim is not to answer everything automatically. The agent advances the case as far as authorised and prepares human intervention when required.
1. ReceiveClassify the request and check whether it contains the minimum information.
2. ConsultReview the customer, asset, history and applicable procedure.
3. ActUpdate the system, prepare a response or assign the next task.
4. EscalateIf an exception is detected, pass the complete case to the owner.
Start with one clearly bounded process
We will review the objective, tools, permissions and points requiring oversight before proposing a pilot.
Frequently asked questions
Before deploying an AI agent
How much autonomy can an agent have?
Only what the agreed process requires. We define its tools, data, permitted actions and situations that require approval.
How are errors controlled?
Through minimum permissions, validations, activity logs, action limits and human escalation when an exception occurs.
Does an agent replace people?
That is not the objective. It handles bounded operational steps and hands sensitive decisions or unresolved cases to a person.
Can we start with a small pilot?
Yes. We recommend validating one specific process with limited permissions and measurable success criteria before expanding scope.