AI agents & agent harness development
Useful AI. With the controls to match.
An agent can plan and use tools. A harness gives it boundaries, context, and a way to recover when something goes wrong. We build both around a measurable business workflow.
Get a project planChoose the right workflow
We start where automation has a clear purpose, accessible data, and a result you can evaluate. Some steps are better served by simple software.
- Workflow mapping and feasibility
- Knowledge retrieval and data access
- Tool and system integration planning
- Cost, latency, and quality targets
Build the agent harness
The harness is the operating environment around the model. It defines what the agent can do and how work is controlled.
- Scoped tool access and permissions
- State management and task orchestration
- Timeouts, retries, and failure handling
- Human approval for consequential actions
Evaluate before expanding
A promising demo is only a starting point. We use representative tasks to evaluate behavior and reveal failure modes.
- Task-specific evaluation datasets
- Quality and regression checks
- Adversarial input and tool-use testing
- Fallback paths and staged rollout
Operate with visibility
Once an agent is in use, you need to understand how it behaves and what it costs. We design the monitoring with privacy in mind.
- Execution tracing and error visibility
- Model usage and cost monitoring
- Sensitive-data handling and retention controls
- Versioned prompts and release management