Browser automation
Suitable for concept validation or rare tasks. For production workflows, the interface is too brittle.
Solution
Designing safe API, CLI, and MCP interfaces.
Creating a controlled path from agent decisions to system execution: with explicit commands, scoped permissions, and an audit trail.
A human can navigate an admin console, find a screen, and interpret an error in context. An agent requires explicit commands, deterministic schemas, and rules governing what it is allowed to do.
Automating through UI might work for a quick prototype. In production, it breaks on markup changes, acquires excessive privileges, and fails to explain errors clearly.
How an action flows
We choose the interface to fit existing architecture. If a system already provides a suitable API, a new layer may be unnecessary. Sometimes scoping permissions, documenting tools, and shaping responses into agent-friendly schemas is all that’s required.
We use MCP where it simplifies agent integration. The protocol alone does not solve the problem.
Before implementation, we establish:
Destructive or irreversible actions receive independent validation. The agent must not escalate privileges through arbitrary parameters or direct access.
What we build
We start from an action currently performed by a person or existing script: retrieving object status, preparing a changeset, triggering an internal job, or aggregating data across services.
For that workflow, we develop:
Scope depends on the scenario. We never expose an entire system for a single task.
Alternatives
Suitable for concept validation or rare tasks. For production workflows, the interface is too brittle.
Simplifies initial experimentation, but complicates least-privilege scoping and forensic auditing.
Exposes too many tools before knowing what the agent actually needs. Better to start with a minimal permitted action set.
If it already provides the necessary operations and security model, we use it. A new interface only makes sense where existing tooling falls short.
Result
Deliverables include a dedicated interface through which the agent performs the selected workflow and receives clear, predictable responses.
Invocations pass schema and permission validation, errors return in structured formats, and executed actions can be audited from logs. Code, tests, and tool documentation stay with your team.
Absolute security does not exist. Our job is to make agent authority bounded, observable, and proportional to operational risk.