Buy your engineers'
calendars back.
AI is amplifying every dysfunction in your delivery pipeline. Faster code generation. Same change-control queue. Same test backlog. Dataworkz ships agents into the workflows that are actually slowing your team.
AI is amplifying, not fixing, your delivery system.
Code-gen tools speed up the easy 30% of the job. The other 70% — change control, test creation, mainframe queries, IT ops — still consumes your team's calendar.
Faster code, same downstream queue.
Coding gains lost to testing, review, deployment.
Change control is the bottleneck no one talks about.
CCB tickets pull context from JIRA, GitHub, Confluence, SharePoint. By hand.
Tech debt and legacy stacks slow every initiative.
AI-readiness sits behind the COBOL no one wants to touch.
You can't measure what you ship.
More commits, more PRs, none of it answers whether delivery is faster.
Three Mondays, three different outcomes.
Describe what you need. The platform builds the agent.
Pick from the library, customize in the visual builder, or build your own from a plain-English description — all on the same DSL.
One platform underneath every agent.
Predictable or adaptive, both run on the same DSL, in your VPC, with the same audit trail your auditors already accept.
Your team's velocity, without the velocity tax.
The standards your team already enforces. The CCB process your auditors already accept. The legacy stack your senior engineers already operate. Agents that ship into all of it — on the same DSL, owned by the team that built them.