Step 01
Intake
From Azure DevOps or Jira. Agents and senior engineers refine and size.
How it works
Your environmentAzure DevOps/Jira · repositories · standards · approvals · audit trail
Runs entirely in your cloud
Step 02
Context
Your rules, lineage and standards are applied first based on team memory.
Step 03
Build
Agents draft code, tests and docs from our proven skills and patterns playbook.
Step 04
Senior review
A senior engineer signs off architecture, quality and standards. Nothing merges without a human.
Step 05
Data product
Lands in your environment: tested, documented, traceable. Team memory improves.
yourdatateam.ai powers every step
Proven patterns and accelerators run each stage above including 100+ agent skills, growing weekly.
Agents build the repeatable work
speed on the routine
Senior human review
humans in control
Full control
full control of guardrails and costs
10+ years Azure data engineering
Hands-on experience, translated.
Our hands-on Azure data engineering experience has been translated into agentic skills, repo standards, and delivery accelerators that guide every change.