Deploying governed, multi-agent digital workforces across high-stakes industries. We architect centrally orchestrated pipelines that execute complex, state-altering workflows in Healthcare, Manufacturing, and Enterprise Revenue Operations.
The Challenge: Healthcare systems are bottlenecked by siloed patient data, complex resource allocation, and heavy administrative diagnostic routing.
The Architecture: A central orchestrator ingests unstructured patient history, compiles a rigid execution graph, and routes data to specialized, stateless diagnostic microservices. Results are deterministically verified against an Intent Registry before alerting a human specialist.
Governed Verification: Instead of a single LLM hallucinating a diagnosis, the Planner compiles a Directed Acyclic Graph (DAG) of stateless diagnostic tools. A strict Policy-as-Code gateway intercepts any proposed action that violates HIPAA before it can be executed.
The Challenge: A single delayed component or unexpected machine failure can cost millions per hour in assembly line downtime.
The Architecture: The Perception Layer ingests continuous IIoT sensor data. When an anomaly is detected, the Planner builds a deterministic fallback DAG to reroute logistics, querying Tier-2 suppliers via stateless API tools, completely avoiding LLM hallucination of inventory data.
Crash-Resistant Autonomy: Instead of vulnerable long-running agents, we use ephemeral session states (Redis). The orchestrator executes the DAG, commits the result to the immutable ledger, and wipes the memory — ensuring zero data drift across manufacturing cycles.
The Challenge: Global teams cannot manually analyze competitor pricing, adjust ad spend, or reconcile end-of-month ledger mismatches across millions of transactions in real-time.
The Architecture: Hub-and-spoke pipelines continuously scrape market sentiment, feeding structured data to strategy nodes. Simultaneously, the orchestrator queries ERPs and cross-references Stripe APIs to draft adjustment journal entries autonomously.
Zero-Hallucination Math: LLMs are probabilistic text predictors, not calculators. Our FinOps pipelines isolate reasoning from execution using the Model Context Protocol (MCP). The orchestrator retrieves historical context via Vector DBs, but delegates ledger mathematics to strict deterministic sandbox tools.
I deploy agentic systems that separate reasoning from execution. Describe your domain and constraint — I will review your requirements and reply with a calendar link within 24 hours.