One platform for building,
running, and governing
AI agents in production.
Each engagement runs as many agents as your business needs, each one purpose-built for a specific job. We build them, govern them against your rules, and surface every output for your approval. Agents run on DeployCo managed infrastructure, or are deployed into your environment as part of an engagement, to your specification.
Each agent designed for one specific job.
In your business, against your rules.
Each DeployCo engagement starts with a working session. We define what the agent is for, what it should produce, the systems it can touch, and the boundaries it cannot cross, all encoded at the configuration level, not as aspirational policy documents.
The agent that gets deployed is your agent, configured to your business. Not a template you fill in. Not a generic tool a hundred other companies are also using.
- Specific goals defined in plain language and encoded into the runtime
- Tools the agent can use are explicitly allowed; everything else is blocked
- Policies and boundaries are configured per agent and per use case
- Approval flows mapped to your team structure
Consequential actions wait in your queue.
Approval-gated by default. Autonomy earned through verified results.
When the agent proposes a consequential action, it lands in your approval queue with full context: what triggered the run, what the agent reasoned, what tools it would use, and what it produced. Your reviewer approves, edits and approves, or rejects.
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 instantly. A wrong proposal is a non-event, because nothing consequential executes until you say so.
- Full execution context attached to every proposed action
- Approve, edit and approve, or reject: three actions, no friction
- Multi-step approval flows for sensitive use cases
- Per-team queue routing based on action type
Rules enforced before the action.
Not a filter at the end. A gate at the start.
The agent operates inside a policy stack defined for your business. Organizational rules, agent-specific constraints, and execution-time policies all enforce what the agent can do, and what it cannot.
Constraints are checked before an action runs, not after. If a tool is not allowed by the policy, the agent cannot reach for it, and an action classified as blocked is denied. Governance is structural, not advisory.
- Allowed and blocked tool lists enforced per agent
- Permission gates on external calls, database writes, code, and payments
- Actions classified by risk, with consequential ones gated for approval
- Role-based access boundaries across your organization
Every action recorded.
Access-controlled activity history, plus a hash-chained enforcement record.
Every agent run, every reasoning step, every tool call, every approval decision, and every configuration change is written to an access-controlled activity history, scoped to your organization so only your team can read it.
Separately, every enforcement decision is written to an append-only, hash-chained evidence record. Each entry links to the one before it, so the sequence cannot be altered or a gap hidden after the fact. When your compliance team asks what happened at a specific time, the answer is in the record.
- Access-controlled activity history, retention configured per engagement
- Per-event metadata: actor, action, target, timestamp, context
- Append-only, hash-chained evidence record of enforcement decisions
- Exportable as CSV or JSON for your own review
Connected to where the work already happens.
Email, CRM, support, internal APIs.
The agent does not live inside a chat window. It connects to your existing systems: sending email through your inbox, updating records in your CRM, and calling your internal APIs.
The integrations your engagement needs are built as part of the engagement. If your stack has an API, we connect to it. If it does not, we build a webhook bridge.
- Email, inbound and outbound, connected to your inbox
- CRM, reading and updating your records
- Support, triage and ticket routing
- Internal APIs, any HTTP endpoint with allowlisted domains
- If your stack has an API we connect to it; if not, we build a webhook bridge
We run it. You review it.
The runtime, monitoring, and ongoing improvement are ours.
Agents run on DeployCo managed infrastructure, or are deployed into your environment as part of an engagement, to your specification. Either way, we handle the runtime, the monitoring, the model upgrades, the integration maintenance, and the anomaly detection. Your team reviews work, and that is the entire relationship.
When something goes wrong, whether a model behaves unexpectedly, an integration breaks, or a rule fires that should not have, we see it before you do. When the rules need to change because your business changed, we make the changes and walk you through them.
- Managed runtime, or deployed into your environment per engagement
- Continuous monitoring for drift and operational anomalies
- Model upgrades and integration maintenance handled by our team
- Rule updates and policy adjustments as your business evolves
See what the agent did, and where it needed you most.
Regular reporting on outputs, approvals, and where judgment was applied.
Each engagement includes regular operational reporting: how many outputs the agent produced, how many were approved as-is, how many were edited before approval, how many were rejected, and where in the work the agent needed your team's judgment most.
The point isn't metrics for their own sake. It is visibility into what the agent is doing well, where it is struggling, and what to refine next.
- Output volume and approval rates by week and by agent
- Edit patterns, where your team is correcting the agent most
- Rejection reasons, what categories of output are not landing
- Operational summary delivered on a regular cadence
See how the platform fits your business.
Tell us what you would want an agent to do. We will walk you through what that engagement would look like specifically for your team.