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DATA
AI agent for ETL automation
An ETL that breaks at 3am should not be discovered in the morning: the agent designs, runs and monitors each load and alerts before it hits the business.
AI agent for ETL automation
An AI agent for ETL automation integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.
We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.
We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.
An ETL that breaks at 3am should not be discovered in the morning: the agent designs, runs and monitors each load and alerts before it hits the business.
THE CHALLENGE
ETL automation
In ETL automation, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.
Pipelines that break at night
ETL jobs fail due to schema changes or dirty data and nobody notices until morning.
Manual column mappings
Each new source requires deciding by hand which column goes where and data onboarding is slow.
Unvalidated quality
Duplicates, nulls and wrong formats enter the warehouse and pollute the reports.
APPROACH
ETL automation
An agent with rules, exceptions and milestone control, adapted to your sector.
Detecting source schemas
The agent inspects each source and proposes the column mapping toward the destination.
Transformation rules
It applies normalisations, cleaning and conversions defined for each data type.
Quality validation
It checks duplicates, nulls and formats before loading and blocks batches that fail.
Monitoring and alerts
It watches each pipeline and alerts the data team on failures or unexpected changes.
DELIVERABLES
ETL automation
An operational, traceable agent under your control.
Proposed column mappings
A suggested source-to-destination mapping for each new source, ready to validate.
Applied transformations
Data normalised and cleaned according to the team's rules.
Passed quality checks
Batches validated with no duplicates, nulls or wrong formats before loading.
Pipeline alerts
Failure and change notifications to react before reports are affected.
TRUST
AI applied to real sector processes with supervision
AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.
- Adapted to your sector's real operation.
- Human supervision with milestone and exception control.
- A measurable first release before expanding scope.
- Code, configurations and documentation under your control.
FAQ
Questions about ai agent for etl automation
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