AI Agent Architecture & Deployment
Design tool boundaries, orchestration, evaluation and deployment for agents that work with your actual systems.
Discuss Your Project ↗Start with a concrete outcome.
This service is for founders and teams with a specific workflow, existing system or deployment challenge. We define success in terms of the work the system must perform, the constraints it must respect and the failures it must handle.
Where this service helps
An agent prototype can appear convincing while hiding fragile tool calls and undefined responsibilities. This engagement starts with one workflow, its real inputs, its permitted actions and the operator who can resolve exceptions. Agent orchestration is introduced only where separate responsibilities justify the coordination overhead.
Questions we resolve
- Which decisions need a model, and which can remain deterministic?
- What can the agent read, draft and write?
- How will task success and safe stopping be evaluated?
Potential deliverables
An architecture map, a bounded prototype, evaluation criteria and a deployment plan. The final scope depends on your current systems and the evidence gathered during assessment.
How the engagement works
- Understand the workflow and review the current system.
- Identify the highest-risk assumptions and agree acceptance criteria.
- Validate with a bounded prototype or assessment.
- Implement, verify and document the agreed scope.
What to bring to the first discussion
A description of the current process, the tools involved, your data handling requirements, the intended users and your timeline. Avoid sending credentials or confidential documents through the inquiry form.
Scope and limitations
Autonomy is scoped explicitly. A successful demo does not establish that the system can operate without supervision.
Related engineering work
Understand the work before scoping it
Pick a problem you are working on. Each guide includes a method, sources and a tool or example to try.