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DATA
AI agent for data quality
Decisions built on dirty data are a gamble: the agent checks every record, spots duplicates, gaps and inconsistencies and leaves them safe to trust.
AI agent for data quality
An AI agent for data quality 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.
Decisions built on dirty data are a gamble: the agent checks every record, spots duplicates, gaps and inconsistencies and leaves them safe to trust.
THE CHALLENGE
data quality
In data quality, 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.
Duplicates polluting the CRM
Repeated records with name or email variations inflate metrics and trigger wrong sends.
Empty or inconsistent fields
Inconsistent phone, date and currency formats make segmentation and reliable reporting difficult.
Sources falling out of sync
Several ingestion tools update the same data with different rules and values end up diverging.
APPROACH
data quality
An agent with rules, exceptions and milestone control, adapted to your sector.
Automatic dataset profiling
The agent scans schemas, types and completeness to locate duplicates, blanks and out-of-range values.
Configurable quality rules
It applies format, uniqueness and consistency rules defined by the data team for each domain.
Supervised cleaning suggestions
It proposes merges, normalisations and fills, leaving each change for owner approval.
Continuous monitoring
It watches incoming data and alerts when a source drifts from the agreed rules.
DELIVERABLES
data quality
An operational, traceable agent under your control.
Initial profiling report
A diagnosis of duplicates, nulls and anomalous values per table and field.
Documented quality rules
A catalogue of format, uniqueness and consistency rules applied per domain.
Approved cleaning actions
A list of proposed merges and normalisations, ready to review and run.
Data-drift alerts
Warnings when a source breaks the rules, with the affected field and value.
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
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