The challenge
The product had to solve connected operational problems.
Allow scheduled engineering work to progress autonomously without losing task boundaries, architectural decisions, test evidence, or an honest record of unresolved work.
AI & Infrastructure
Engineering workflow case study covering a controlled backlog, AI-assisted implementation, automated checks and explicit verification.

Project overview
The Autonomous Scheduled Build Agent is an engineering workflow that advances the Omnitech CRM programme task by task using a controlled backlog, implementation runbook, static checkers, execution harnesses, and explicit verification standards.
The challenge
Allow scheduled engineering work to progress autonomously without losing task boundaries, architectural decisions, test evidence, or an honest record of unresolved work.
Technical approach
Each run selects a bounded backlog item, follows repository-specific instructions, records decisions, and passes source checks and execution harnesses before the work is marked complete. Human decision points remain explicit in the programme record.
Execution verification — concept visualization
Illustrative dashboard built from Build Agent's documented behavior: a runbook-tracked task backlog, repository-specific source checkers, and three independent CI jobs (checks, tests, formatting) run against the MySQL and SQLite test matrix for the Omnitech CRM programme. Not a screenshot of the live agent.

Products and interfaces
Platform breadth
Evidence
Next project
Let’s discuss the architecture, delivery plan, and operating model it needs.
Questions and answers
The Autonomous Scheduled Build Agent is an engineering workflow that advances the Omnitech CRM programme task by task using a controlled backlog, implementation runbook, static checkers, execution harnesses, and explicit verification standards.
The work includes Scheduled engineering agent, Task backlog and runbook, Repository-specific source checkers, Execution verification harnesses, Decision and question tracking, Repeatable completion criteria.
Muhammad Muzammil Qureshi served as Chief Technology Officer, with responsibility spanning technology direction, architecture, delivery, and the operating systems described in this case study.
Autonomous Scheduled Build Agent uses Scheduled agent · Runbook · Static checkers.