Production agent systems for real business workflows.
We design and build agentic AI systems with scoped tools, MCP integration, eval harnesses, human escalation, and the operating controls needed before agents touch production systems.
Is This Right For You
For teams moving from prototype agents to governed production workflows.
MCP
Tool contracts and integration boundaries
Evals
Regression checks for agent behavior
Audit
Replayable traces for every critical action
- A production architecture for agent loops, tools, permissions, and rollout gates
- A working eval and trace plan before the first production user is exposed
- A delivery scope your engineering, security, and product teams can execute
When this is the right conversation
Your agent prototype works in demos but fails on edge cases, permissions, or observability.
Tool calls, auth scopes, and business-system side effects are not yet safe enough.
Leadership wants a production plan before funding a large build.
A practical path from decision to production.
Map the workflow
Identify where an agent should decide, where deterministic software should own the flow, and where humans stay in the loop.
Design the boundary
Define tool schemas, auth scopes, approval gates, memory boundaries, and fallback paths.
Build the harness
Create evals, trace capture, cost telemetry, error taxonomies, and production rollout gates.
Ship the system
Deliver the agent workflow with runbooks, dashboards, and a staged launch plan.
What we bring into the engagement
The work is principal-led and oriented around artifacts that make buying, building, and operating easier for technical and business stakeholders.
Agent workflow architecture
Planner, executor, tool, memory, and human-review boundaries designed around business risk.
MCP and tool integration
Scoped tool manifests, deterministic schemas, and integration patterns that avoid uncontrolled side effects.
Auth and auditability
Per-tool permissioning, approval gates, trace replay, and security review support.
Can you help if we already have an agent prototype?
Yes. The fastest path is often to review the prototype, preserve what works, and rebuild the production boundary around tools, auth, evals, and observability.
Do you require a specific agent framework?
No. Framework choice follows the workflow, existing stack, reliability needs, and team ownership model.