Services
AI agents that are designed to be tested.
We help teams define agent goals, tools, failure modes, and human oversight — then build systems that can be measured before they scale.
Evidence note: This page describes capability and method. It does not claim completed client agent portfolios until verified case studies are approved.
Problems we address
Demo agents that break in production
Multi-step tools without evaluation or permission boundaries.
Unclear ownership
Nobody knows when an agent should escalate to a human.
Capabilities
Agent architecture
Tool schemas, memory boundaries, and escalation rules.
Evaluation harnesses
Scenario tests for reliability, not only happy-path demos.
Integration
Connect agents to existing APIs and workflows with least privilege.
How engagements typically run
Define tasks & risks
What the agent may and may not do.
Prototype under eval
Small tool set; measure failure modes.
Harden
Permissions, logging, and human-in-the-loop paths.
Deploy carefully
Limited rollout with monitoring.
Related proof & next steps
Related services
Questions
Not yet as named client publications. Until approved case studies exist, we describe capabilities and evaluation practice — we do not invent client results.
Talk with us about ai agents.
Share constraints and goals — we will respond with a technical discovery path.