MAPOS (Multi-Agent Policy Orchestration System) is Stepfault's deterministic orchestration layer for routing tasks across specialized agents with strict serialization gates, policy checks, and OpenTelemetry instrumentation. The stepfault.ai showroom visualizes MAPOS architecture in the browser; it does not execute live production agent meshes.

Is the MAPOS demo on stepfault.ai live production telemetry?

No. The MAPOS visualizer on stepfault.ai is a static architecture schematic and deterministic UI simulation. Production telemetry, VPC-bound tool execution, and authenticated agent routing require a client deployment engagement.

How does MAPOS differ from ad-hoc LLM agent chains?

MAPOS enforces deterministic handoffs: each agent output passes schema validation and policy guardrails before the orchestrator routes to the next node. Retries, audit trails, and human-in-the-loop gates are first-class — designed for regulated teams that cannot tolerate silent tool drift.

Where does Stepfault deploy MAPOS?

Client engagements target Azure-first landing zones with portable paths to AWS and GCP. Deployments run inside customer VPCs or isolated environments with audit-friendly logging. The public showroom does not host production MAPOS infrastructure.

Stepfault|Azure · Greenwood Lab · Tulsa|Status: Enterprise slots open

Autonomous Multi-Agent Orchestration & Enterprise Systems Engineering.

Secure, high-throughput AI infrastructure for mid-market aerospace, energy, and autonomy teams. Production systems in client VPCs — not proofs-of-concept that stall.

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Connections from past engagements, research collaborations, and the Tulsa ecosystem. Each logo links to the organization's site. Logos reflect relationships, not endorsements or reseller partnerships.

Industry & Cloud

Academic & Research

Tulsa Ecosystem · Home Base

One block from G-ACE. Connected to Gradient, Techstars, and Tulsa Remote, with ties to TU, TTCU, and ORU across Greenwood Lab and regional enterprise AI work.

Tulsa Institutions

Tulsa Innovation & Programs

Strategic discovery · $5k–$25k

AI Readiness & Architecture Assessment

Comprehensive strategic engagement: 2-hour technical discovery, feasibility mapping, and a 20-page architectural teardown of your agent stack, data plane, and Azure deployment path.

Azure · PostgreSQL · OpenTelemetry · MAPOS boundaries

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1
Step 130-Min Feasibility Call
2
Step 260-Min Architectural Deep Dive
3
Step 3Formal Deployment Proposal

Legal & Compliance AI

Air-gapped document parsing with local LLMs. Data never leaves your VPC.

Local LLMs · LlamaIndex · Private VPC · OCR Pipelines

Book 15-Min Scoping Call

Fractional Engineering & Contracts

Interim CTO coverage and production agent systems inside Azure and Greenwood Lab delivery windows.

AWS / Azure · CI/CD · Multi-Agent Orchestration

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Tulsa Regional Automation

Flat-rate AI automation for Tulsa operators and mid-market assessment for 50–250-employee companies sitting on data they haven't activated yet.

48-Hr Turnaround · Mid-Market Assessment · UAS · A&D · Energy

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Enterprise friction we resolve

Failed internal proofs-of-concept with no production path
API latency bottlenecks under agent load
Inefficient data ingestion pipelines blocking model quality
Strict security constraints on agent tool boundaries

Velocity tier · startup sub-brand

48-Hour Startup MVP

Production App Router repos with auth, API routes, and CI/CD. Scoped separately from enterprise MAPOS engagements.

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Technical documentation

Systems in Action · Autonomous Infrastructure

Simulated schematic · not live telemetry

Deterministic MAPOS trace. Orchestrator, security guard, and execution agents with OpenTelemetry and strict serialization gates. This is a UI schematic for architecture review; production MAPOS runs in client VPCs.

mapos-audit · live trace (simulated)

Agent Loop: ActiveToken Efficiency: +42%

Orchestrator-Agent

Security-Guard-Agent

Execution-Agent

OpenTelemetry span · trace_id=0x8f3a…c21esemantic cache hit ratio: 68.4%

Production Stack · Engineering Matrix

Infrastructure, frameworks, languages, and methods we run in production for Tulsa enterprise audits and fractional CTO work on Azure and AWS.

Frontend & UX

Next.js App Router
React 19
Tailwind CSS
Framer Motion

Backend & Data

Node.js / TypeScript
Python / FastAPI
PostgreSQL / pgvector
Supabase
Redis / Semantic Cache

AI & Orchestration

OpenAI
Anthropic
LangChain / LangGraph
Hugging Face
PyTorch

Multi-agent · RAG · Guardrails

Cloud & DevOps

AWS
Microsoft Azure
Docker / Containers
GitHub Actions CI/CD
Vercel Edge

Quantum & Systems

Qiskit
IBM Quantum
C++ / Systems

Methods & Observability

OpenTelemetry tracing
Strict serialization (Zod / JSON Schema)
TDD · Contract testing
Human-in-the-loop gates
Zero-trust agent boundaries

Run a deterministic MAPOS orchestration trace by operational vertical. Simulated in the UI; built to production standards in architecture.

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