Agents that act in the tools you already use.
An agent looks up information, decides a next step, and carries out a task. Permission boundaries, a recorded state, and a person for the cases it should not close.
Architectural Foundations
Tool Sandboxing & Scoped Permissions
Agents execute actions through authenticated APIs with strictly bounded read/write permissions, preventing runaway calls.
Structured State & Context Management
Persistent execution state machines that track multi-step progress, checkpointing data across long-running operational workflows.
Deterministic Fallback & Human Escalation
When confidence scores drop below thresholds or edge cases arise, the agent generates an audited brief and transfers control to a human.
Automated Evaluation Suites
Every agent is benchmarked against regression test suites measuring task completion rate, tool call accuracy, and latency.
Our Engineering Discipline
“If a payload fails schema validation, the agent halts, records the trace, and escalates.”
Unconstrained chat interfaces and toy autonomous loops are dangerous in enterprise settings. A production agent requires predictable input-output contracts, rate limiting, token cost governance, and deterministic tool schemas.
We build agents that do not hallucinate actions. If an API payload fails schema validation, the agent halts, records the diagnostic trace, and escalates to an engineering lead.
Featured Agent Architectures
Select a foundational agent architecture to initiate your custom implementation.
Scoping Requirements
Target Operational Workflow
The concrete business process, trigger events, and explicit definition of task completion.
Target API Tooling & Integrations
The systems the agent must interact with (e.g., Salesforce, Zendesk, Jira, Postgres, internal REST APIs).
Escalation Criteria & Human Ownership
The business rules and confidence thresholds determining when a human operator must approve or intervene.
Questions
How do you prevent agents from making unauthorized updates?
We employ strict least-privilege API scoping, transactional rollback mechanisms, and schema validation layers. Destructive or high-impact actions (such as initiating financial disbursements or deleting customer records) require explicit human approval via signed webhooks.
What frameworks do you use to build agents?
We build production agents using state-machine architectures (such as LangGraph, custom Python orchestration, or temporal workflows) integrated with schema enforcement libraries (Pydantic) and observability platforms (Langfuse, Arize, or Datadog).
How do we evaluate agent performance before launch?
We create a comprehensive offline evaluation harness comprising hundreds of synthetic and historical operational edge cases. The agent must achieve agreed-upon accuracy and safety benchmarks before routing live production traffic.
Scope an autonomous agent for your operations.