Give us 3–5 real tickets. We’ll show you what agent-orchestrated engineering can actually deliver.
Vortex Dispatch runs a focused engineering pilot on one real repository. We use your backlog, your codebase and your existing engineering checks, then measure the outcome instead of asking you to trust generic AI productivity claims.
How the engineering pilot works
You provide one repository, 3–5 genuine backlog tickets and the CI or test setup your team already uses. Vortex Dispatch configures a governed agent-orchestrated delivery workflow across implementation, review and QA.
What we measure
- Elapsed delivery time per ticket
- Human interventions required
- Agent failures and failure causes
- QA and test pass rate
- Code-review findings
- Model or subscription cost where measurable
- Merge success
- Rework required before acceptance
What you receive
You receive the resulting code and a delivery report describing interventions, failures, review findings, QA outcomes, rework and the practical limits observed in your repository.
Engineering guardrails
Pilot work is isolated, reviewed and tested against the controls available in your repository. Human approval, repository permissions, review expectations and deployment boundaries are agreed before work begins. Agent output is never treated as trusted merely because a model produced it.
Who the pilot is for
The pilot is designed for engineering teams, CTOs, software agencies and technical leaders who are already experimenting with AI coding tools and want evidence before expanding agent-assisted delivery.