A crew of specialised AI agents that enforces policy, tracks delivery, and generates audit evidence, while you make only the calls that matter. Dashboards measure. Drydock governs.
You're expected to know what's changing, where the risks are, and whether AI is actually improving delivery. The answers exist. They're just buried across dashboards, reports, and engineering tools.
Each agent owns one domain, watches it continuously, and reports to Dockmaster. Agents do the watching. Humans make the decisions your policy reserves for them.
Scale AI across engineering without compromising the standards, accountability, and trust your teams rely on. Every AI-assisted change is tagged, gated, and reviewable, automatically.
Know where AI is creating value, where it's falling short, and where to optimize next. The answers your board is already asking for, mapped to the work and outcomes AI produced.
Policy decides when a person must decide. Escalations arrive decision-ready, and every approval is logged as audit evidence. 85% of enterprises are piloting AI agents; only 5% have shipped them to production. The difference isn't the AI. It's control.
DryDock works with the tools your teams already use, and delivers governance where you actually work. No new dashboard to learn, unless you want one.
Link GitHub, GitLab, Jira, and your CI/CD in minutes. DryDock maps your delivery pipeline automatically, with no code changes.
Six agents read every change against your rules, continuously. Most work clears on its own; anything that needs judgment is routed to a person.
Ask Dockmaster from the tools you already use through MCP, take escalations in Slack, or open the deck for the full picture. You choose the surface.
Adapt DryDock AI to the way your teams work. Every custom agent is just a trigger, a condition, and an action, no code required. Click an agent to see how it's built.
CI/CD runs your pipeline. DryDock sits above it and governs it, reading across planning, code, testing, and infrastructure, and telling you what it means. CI/CD tools aren't built to do that on their own, and DryDock doesn't replace them.
The opposite. It makes human oversight actually implementable. Your policy defines where human judgment is required: AI-authored code, high-risk changes, production deploys. Agents clear routine work automatically; the few decisions that need a person arrive with evidence and a recommendation, and every approval is logged as an audit record. You stay in command without becoming the bottleneck.
No. That's the point of the agent model. Policies are enforced automatically, so most releases pass without touching a human queue. Only flagged work needs a decision. Teams typically ship faster because risk is caught at the diff, not at the last gate before production.
Yes. Custom agents are built from simple triggers, conditions, and actions, with no code required. Monitor client SLAs, regional compliance, budget thresholds, documentation coverage, or anything else unique to how your teams work.
Request early access above. Onboarding connects your existing tools (GitHub, Jira, CI/CD, Slack) and the agent crew starts observing immediately. Most teams see their first governed release within the first week.
Early access includes the full agent crew, Dockmaster AI, custom agents, and hands-on onboarding with our team. Early cohort pricing is discounted and locked in. We'll share details on the intro call.
See how DryDock can help you lower release-delivery risk, improve visibility, and prove AI ROI.
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See how DryDock AI brings clarity, confidence, and control to AI-powered software delivery.