Every business deserves
its own AI agent.
Without building one.
DeployCo was built on a straightforward conviction: the gap between “AI can do this” and “AI is doing this safely inside my business” is not a technical gap. It is an operational one. We close that gap, for businesses that want the outcome without building the capability.
Most AI tools assume you will build.
We assume you won't.
The enterprise market has no shortage of AI platforms. They are sold to technical teams, configured by prompt engineers, and maintained by in-house AI leads. For the companies that can afford that infrastructure, and have the talent to run it, those platforms are powerful.
But most businesses have better uses for their people. They know exactly what an AI agent could do for them. Building, configuring, governing, and monitoring it themselves is not where they want their team's time to go.
DeployCo exists for those businesses. We design the agent, deploy it on managed infrastructure or into your environment, govern it against your rules, and operate it as an ongoing engagement. You review what it produces and decide what goes out. That is the entire relationship.
“AI in business needs to be operated and governed, not just deployed.”
Deploying an agent and walking away is not a product, it is a risk. Real operation means monitoring for drift, watching for edge cases, updating the rules when the business changes, and being accountable for the output.
Governance is not a checklist layer added at the end. It is structural. The approval queue, the policy stack, the audit trail, these are part of the runtime, not bolt-ons. Every action the agent takes is constrained and logged before it reaches the world.
When an AI agent acts in your name, someone has to be responsible. We are. The agent we build and run is our accountability, alongside yours. That is different from handing you a tool and a user manual.
Two products. One belief.
Separately useful. Optionally unified.
DeployCo and Purogaly are sibling products built on the same conviction, that AI agents operating inside real businesses need more than intelligence. They need structure, oversight, and accountability. Each product addresses that problem from a different angle, for a different kind of customer.
For businesses that want AI agents working inside their operations, without building or running them. We design the agent, deploy it, govern it, and operate it as an ongoing engagement. The customer reviews and approves consequential actions, which are approval-gated by default.
For organizations with their own AI agents, built internally or through other platforms, that need a structured governance layer on top. Policy enforcement, approval workflows, audit trails, and role-based controls. Purogaly governs agents it did not build.
Customers who engage DeployCo for operated agents may optionally add Purogaly as the governance layer, extending policy enforcement, approval workflows, and audit capabilities beyond what is built into DeployCo by default. The integration is configured as part of the engagement. The result is a fully operated and fully governed AI agent, designed, deployed, and watched over end to end.
Consequential actions are approval-gated by default. An agent earns more autonomy only through verified results, within limits you set, and a kill switch returns any agent to fully supervised operation at once. The approval queue is where a person decides.
Every action is recorded: agent runs, governance decisions, administrative changes in your workspace, and your team's approval decisions. Your compliance team can review the history and export it as CSV or JSON.
We do not sell access to your data, train models on your content, or share your inputs with anyone. The agents call commercial language models with prompts assembled from your configuration, and the outputs come back to you.
If this is what you are looking for.
Tell us what you would want an agent to do. We respond within a business day. You will hear from the team, not a sales sequence.