AgentWorks Enterprise
Your engineers ship faster with AI. Now QA, CI, incidents, security and cloud cost are the bottleneck. AgentWorks puts agents on those goals, with approvals, audit trails and your own models.
The new bottleneck
AI coding tools multiplied how much your team ships. The work that keeps it safe in production still waits on people.
Playbooks
Each playbook sets up the goal, the tools, the evidence to keep and the questions agents should ask your team. We tune them to your stack and build new ones with you.
Agents that test your product like users do, keep evidence and repair their own tests.
From alert to verified recovery, with humans approving every consequential step.
Authorized assessment through reviewed fixes to verified closure.
Measure pages, journeys and APIs against the budgets you set.
Find cost anomalies and prove the savings after every change.
Governed metrics for delivery, quality, funnels, retention, SEO and AI visibility.
Use cases
Each use case comes with its playbooks, an example goal and a four-week pilot plan.
Where we fit
Great for knowing what you run. Engineers still do the work behind every action.
Good for fixed flows. When the flow breaks or the goal moves, someone rebuilds it.
Set the outcome and the metric. Agents do the work, measure it and improve the plan, under your approvals and audit.
Security & control
Open source, self-hosted and governed. Your CISO can read every line and every log.
How we start
We don't sell a platform and hope. We pick one painful goal, agree how success is measured, and prove it.
Choose one goal, such as "no release without a QA decision", agree the metric, and deploy AgentWorks in your environment.
Agents run the playbook with approvals on. We tune it to your stack and your team's answers every week.
Review the metric, the run log and the cost together. Expand to the next goal only if it paid off.
Deployment
Deployed into AWS, GCP or Azure with your networking, identity and secrets managers.
Linux servers you control, with private model endpoints and no outbound calls you haven't approved.
A single-tenant AgentWorks we run for you, isolated from every other customer.
FAQ
In your AWS, GCP or Azure account, in a private cloud, or on your own servers. Agents, browsers, secrets and logs stay inside your environment.
Your enterprise Claude, ChatGPT or Gemini agreements, through each vendor's own coding agent: Claude Code, Codex, Cursor, Pi and Muse. Pi can also reach OpenRouter and other providers. You choose the agent and model per step.
A portal catalogs services and gives engineers self-service actions. AgentWorks gives agents a goal, such as release quality, incident response or security backlog, and has them do the work, measure the result and improve, with approvals and audit.
In a builder, you draw every step. In AgentWorks you set the outcome and the metric, start from a playbook, and AgentWorks keeps improving the plan against evidence from each run.
Yes. The engine is MIT-licensed, so your security team can read every line. Enterprise adds SSO, SCIM, audit export, custom playbooks, deployment support and an SLA.
About four weeks: one week to pick the goal and connect systems, then three weeks of supervised runs against agreed success metrics.
Tell us where engineering time is leaking. We'll bring the playbook and the success metric to the first call.
