We design and build AI agents that understand context and call your tools and APIs to complete multi-step tasks. Permission controls and clear operational guardrails keep each agent acting within a safe, bounded scope. Every agent ships with full decision-level traceability to support audit and accountability.
What's included
- Designing the agent's behaviour, boundaries, and multi-step tasks.
- Integrating tool and API calls with internal systems.
- Building permission controls and least-privilege access per tool.
- Establishing guardrails: input and output validation and prevention of out-of-scope action.
- Creating an evaluation (evals) harness to measure accuracy and reliability before launch.
- Enabling full decision-level traceability to support audit and accountability.
Methodology & standards
Scoping: target tasks, systems, tools, and operational constraints.
Agent architecture design: decision flow, tool invocation, and the permission model.
Iterative development with guardrails and access controls built in.
Evaluation through an evals harness and test sets that represent real and edge cases.
A monitored rollout with logging and human-intervention mechanisms enabled.
Deliverables
- A working AI agent integrated with your internal systems.
- A documented permission model and auditable guardrails.
- An evals harness with accuracy and reliability measurements.
- A decision trace log with a performance monitoring dashboard.
- Operations and handover documentation covering usage limits and intervention procedures.
Regulatory controls it satisfies
Typical timeline
Typically delivered in six to twelve weeks, depending on the number of tools and integrations and the depth of evaluation required.
Common questions
How do you stop the agent from performing an unauthorised action?
We apply least-privilege access per tool and guardrails that validate every step, with human-intervention points at sensitive actions.
How do we verify the agent's reliability before launch?
We build an evals harness with test sets covering real and edge cases, and we do not launch until agreed accuracy thresholds are met.
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