Intelligent DataOps: Self-Healing Pipelines | AgentixLake
AGENT · INTELLIGENT DATAOPS

Self-healing data pipelines.

Intelligent DataOps is our self-healing pipeline agent. It watches for ETL failures, collects the evidence, proposes the fix as a pull request in your repository and waits for an engineer to review and merge it.

THE CHALLENGE

Engineers spend their time firefighting.

Every failure means digging through logs, code and data by hand before anyone can fix it.

WHAT WE TYPICALLY SEE
  • Failures found by users, not monitoring
  • Hours spent collecting context
  • Fixes applied without review
  • The same incidents repeat
WHAT WE DELIVER

Detect, diagnose, fix with review.

01 · DETECT

The agent watches your orchestrator, warehouse and data-quality checks.

  • Failure and anomaly detection
  • Alerts in your channels
  • Evidence collected automatically
02 · DIAGNOSE

It links logs, code, lineage and recent changes to the likely cause.

  • Root-cause analysis
  • Impact on downstream data
  • Runbook lookup
03 · FIX WITH REVIEW

It proposes the fix as a pull request. An engineer reviews and merges it.

  • Fix as a Git pull request
  • Tests run before merge
  • Full audit trail
Your region

Runs in the AWS region you choose. For EU clients, model calls stay inside the EU.

30 min

Typical resolution including review, down from 6–8 hours.

Reviewed

An engineer approves every fix before it merges.

FROM THE FIELD

Results in production

10xCRM
B2B SAAS · 10XCRM

10xCRM paid for 40 hours a month of pipeline maintenance. Now the agent does that work, and an engineer reviews and merges its fixes.

Read the case study →
Does it change production on its own?+

No. It proposes fixes as pull requests, and an engineer reviews and merges each one.

Which tools does it work with?+

In production today it runs on Amazon Bedrock and works with Slack alerts, GitHub, and Mage.ai pipelines on Google Cloud. We confirm the rest of your stack during scoping.

Where does the model run?+

On Claude in Amazon Bedrock, in the AWS region you choose. For EU clients, model calls stay inside the EU. In production today, the agent runs in Frankfurt and its pipelines in an EU region on Google Cloud.

What data does the agent send to the model?+

Logs and error messages, pipeline code, and table schemas and metadata. It doesn’t send rows from your tables. Amazon Bedrock doesn’t store prompts and responses or use them to train models.

How is it priced?+

Based on your workload. We agree the price with you during scoping.

Can we add it to a running platform?+

Yes. It can be part of a Production Sprint or added to a platform that’s already live.

Where does it run, and who controls it?+

Everything we build for you is yours: pipelines, data models, infrastructure code and documentation, in your own cloud account and repositories. Our agents and accelerators come with a licence that keeps working even if you stop working with us. If you need full source access, we offer that too.

Stop firefighting your pipelines.

Tell us which platform and orchestrator you run.

Add it to your platform→