AI agents built for operational workflow
We systematize complex operational workflows using deterministic AI agent systems. We design orchestration layers that pull context from legacy databases, execute strict rules, parse unstructured inputs, and cleanly route exceptions to human-in-the-loop review.
We treat agents as production-ready software, not magic. Every system requires an audit trail, strict operational boundaries, and exception handling.
Deterministic Parsing
Extract structured data from unstructured inputs (PDFs, emails, manifests) with deterministic precision using constrained generation. The output is strictly typed JSON.
Orchestration & Routing
Build rigid agent workflows that fetch external context, evaluate business logic, and autonomously trigger downstream APIs.
Human-in-the-loop Exceptions
When confidence is low or a rule is broken, the system deterministically pauses and routes the state to an operator for review.
Audit Trails & Security
Every LLM call, API request, and state change is logged. Strict permission boundaries ensure agents only access what they are authorized to.
const payload = await parse(file, schema);
if (!payload.success) throw new Error();Use Cases in the Wild
SWIFT MT103 Parsing
Automated extraction and validation of unstructured financial messages into standard JSON schemas, instantly flagging compliance risks.
Freight Manifest Routing
Agents ingest PDF manifests, verify vendor details against internal databases, and autonomously route to the correct processing queues.
Compliance Exception Handling
Deterministic rules engines combined with LLM judgment. The system flags discrepancies and halts execution until explicit operator approval.
Frequently Asked Questions
What is an AI agent system?
Unlike a standard chatbot that just returns text, an AI agent system is designed to execute workflows. It can pull context from your databases, follow specific business rules, take actions via APIs, and know when to hand off to a human for review.
How is an AI agent different from a chatbot?
A chatbot relies on prompting to generate responses. An AI agent system treats AI as a component within a larger software architecture, incorporating strict operational boundaries, tool usage, and deterministic code to ensure reliable execution.
What does production-ready AI mean?
Production-ready AI means the system is built to survive real business operations. That means structured audit logs, clear permission boundaries, human-in-the-loop review paths, and the ability to safely roll back or debug when the model does something unexpected.
Work with us
Discuss your agent system
Walk us through your workflow and the systems involved. We'll provide an objective assessment of whether AI automation or traditional engineering is the best path forward.