CM
Cody Marcel
Founder & CEO

Former Salesforce Principal Engineer with 9 US patents in multi-tenant database systems and query optimization. 20+ years building the exact infrastructure the world's largest platforms run on. Now building BOS — the operating system for business applications — and operating a STEM education franchise in Denver where he lives the problem every day.

20+
Years
9
US Patents
13
Yrs at Salesforce
6+
Fortune 500 Clients

Deterministic Orchestration for AI Agents

The Business Operating System

The missing infrastructure layer between probabilistic AI and reliable business outcomes. Applications defined as metadata graphs, not code.

Every business process is a finite state machine. BOS abstracts at the business process layer — the one layer the entire market has ignored, including the workflow layer voice agents need.

Common Agentic Service Pitfalls

The Problems BOS Is Built to Solve

Standalone AI agents are powerful, but business operations need deterministic process control around them. BOS adds the state machine, guardrails, and audit layer that keeps agentic services from drifting off process.

⚠️

Probabilistic Outputs

Agentic services can hallucinate, skip steps, and produce inconsistent results. BOS keeps business workflows on deterministic rails.

🛠️

No Process Guarantees

Every business process has states, transitions, and rules. BOS makes that process explicit, enforceable, and inspectable.

💰

Expensive Failures

Missed leads, botched handoffs, and compliance gaps cost real money. BOS prevents agent actions from bypassing required controls.

We Abstract the Process Layer — Not Just Data

Traditional CRMs abstracted the data layer. Zapier connected apps. BOS abstracts the business process itself.

Traditional CRMs BOS Platform
Abstraction Data layer (Custom Objects) Process layer itself
Workflows Manually configured Learned from behavior
Logic Static rules: IF x THEN y ML-driven: 94% confidence
Setup Months + expensive consultants Zero configuration — works instantly
Learning No adaptation Continuous per-org optimization

Platform Architecture

A full-stack operating system for business applications, serving humans and AI agents as first-class consumers.

🎯

BOS Applications

Metadata-driven operator consoles, customer workflows, and AI-agent work surfaces.

⚙️

Platform Orchestration

FSM Interpreter · Server-Driven UI · Plugin Framework · Agent Service Discovery · Voice Agent Orchestration

📈

Graph Orchestration

Multi-Tenant Isolation · State Transitions · Audit Trail · ML Layer

🖥️

Infrastructure

PostgreSQL + RLS · Google Cloud Run · Supabase · Stripe Connect

Retell Voice Agents

BOS Now Orchestrates the Full Voice-Agent Lifecycle

Retell is the conversation layer. BOS is the operating layer around it. We handle the business workflow that makes a voice agent usable in production: outbound setter calls, live calendar lookup and booking, inbound receptionist routing, meeting-bot scheduling, transcript-driven refinement, test-number readiness, launch gating, and post-launch visibility.

Google Calendar + Retell + Meeting Bot

Outbound Setter Calls With Warm Transfer

BOS can create or update the Retell agent, place the outbound call, drive qualification, offer two concrete appointment options, and warm-transfer to a human only when the lead asks.

Live Scheduling as a First-Class Workflow

Voice flows can query live Google Calendar availability through BOS, book the selected slot, send the invite while the caller is still on the line, and keep Google Calendar as the source of truth.

Inbound Receptionist Templates

The same orchestration layer now supports inbound receptionist deployments: urgency triage, service-intake capture, transfer or message routing, and BOS webhook scheduling for service businesses such as HVAC.

Retell create or update flows for outbound and inbound voice agents
Warm transfer, voicemail fallback, and operator handoff controls
Calendar-driven availability lookup, booking, and invite creation
Receptionist templates with BOS webhook scheduling and routing rules

Real Results. Real Numbers.

Measured impact from the first production deployment — 40 leads/month baseline.

80%
Less Manual Work
$7.5K
Saved / Location / Year
5 min
Setup Time
94%
ML Confidence

Why BOS Wins

📜 Patent Portfolio

Provisional patents filed on multi-tenant graph schema and goal-driven customer journey FSM. 9 granted US patents in distributed systems and query optimization. Estimated portfolio value: $2.1–$8.3M.

🎯 Founder-Market Fit

Former Salesforce engineer who built the CRM infrastructure the big platforms run on. Now operates a franchise and lives the problem every day. Built the MVP to production solo in 6 months.

📈 Data Network Effects

Every franchise location adds learning data. ML models improve for all orgs as the network grows. More locations = better recommendations = higher conversion = more locations.

🔒 Platform Lock-In

Applications built on BOS depend on the FSM interpreter, plugin framework, and graph orchestration. Switching costs increase with every process defined on the platform.

Ready to See BOS in Action?

Join the pilot program. Get your location running in 5 minutes. We'd love to show you a demo.

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