CH

AI Operations & Product Operations Leader

Chad Holdridge

I author the methodology, governance, and semantic-layer frameworks that make enterprise AI products credible and audit-defensible. At SymphonyAI, that means a constrained-pipeline methodology, a cryptographic governance layer, and a domain semantic rulebook for an internal agentic insights platform across the active pilot portfolio. Outside the day job: a B2B SaaS in production with first customer live, and a personal multi-agent practice I use across my own projects. 25 years of multi-store P&L leadership underneath the AI work.

25yrmulti-store operations leadership
250+direct reports at peak; 600 with dotted-line for 5+ yrs
6concurrent Fortune 500 AI pilots coordinated
0→1B2B SaaS built from idea to first customer

Featured work

All projects →

Multi-Customer Retail Analytics Platform

Single config-driven platform serving 6+ grocery and convenience retailers (US + UK)

Active
Canonical referencefor Value Engineering across CPG pilots
Product DiscoveryData EngineeringStakeholder CommunicationKPI Definition
PythonSQLFlaskChart.jsPlaywrightn8n
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Agentic Insights Platform — Methodology & Governance (Internal Prototype)

Authored the methodology, governance, and semantic layer for an internal multi-agent insights platform; engineering implements; persona designs owned by another engineer

Active
Audit-defensiblefirst iteration where every dollar figure traces to a formula
AI ArchitectureProduct DiscoveryFull-Stack DevelopmentStakeholder Communication
PythonFastAPIPostgreSQLPerplexity AIGrafanaDocker
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Agent Orchestration Hub

Hub-and-spoke system coordinating typed AI agent roles across the multi-agent stack I use on my own projects

Active
7 agentstyped roles coordinating across 5 project spokes
System DesignAutomationDeveloper Experience
PythonTypeScriptLlamaIndexFastAPIn8nDocker
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Agent Governance Console

Governance and observability dashboard for the multi-agent stack I use across my own projects

Active
Full audit trailchain-verified tamper-evident logging across all agents
Governance DesignFull-Stack DevelopmentSystem ArchitectureDeveloper Experience
Next.jsTypeScriptPostgreSQLElectronRadix UITailwind CSS
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B2B CPQ Sales SaaS

Multi-tenant configure-price-quote SaaS for industrial distribution

Active
Full stackSaaS built end-to-end to a target customer's spec; commercial agreement pending
0-to-1 Product DevelopmentTechnical PMB2B SaaS
Next.js 14TypeScriptFirebaseTailwind
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See it in action

A walkthrough of the Agent Governance Console — the central nervous system monitoring 7 AI agents across 5 projects.

7 pages: Overview, Audit Trail, Health, Governance, Intelligence, Planning, HooksView project →

How I work

Discover

Surface what customers need before they can articulate it. 3 years in customer success and solutions engineering, running field research, stakeholder interviews, and time-and-motion studies to find the problem behind the problem.

Architect

Design solutions balancing user needs, technical reality, and business goals. 68 documentation files covering KPIs, formulas, and business logic — because ‘make it better’ isn’t a spec.

Align

Build consensus across engineering, design, and leadership to ship with confidence. ROI models, executive decks, and value narratives that drove adoption and shaped product roadmaps.

Lead

Direct cross-functional teams from concept through delivery, setting quality standards that compound. 25 years of operations leadership applied to product development.

What I bring to product

Product Discovery

Conducted time & motion field studies across pilot stores, then built the automation that eliminated manual reporting entirely

Data-Driven Decisions

Authored lost-sales attribution methodology grounded in academic OOS research (Gruen & Corsten) — became canonical reference for Value Engineering across CPG pilots

Customer Discovery

3 years in CS and solutions engineering — learned to identify what customers need when they can't articulate it, then translate into actionable specs

Stakeholder Communication

Aligned engineering, operations, and customer teams across competing priorities — automated executive reporting with trend analysis and AI-generated insights

Technical Translation

Explain complex AI and data systems in non-technical terms to customers, executives, and cross-functional teams to drive adoption and shape roadmaps

Technical Depth

Built dashboards, ETL pipelines, desktop apps, and SaaS platforms from scratch

Requirements Definition

68 documentation files covering KPIs, formulas, business logic, and API specifications

Process Automation

16 n8n workflows, 3x daily ETL pipelines, self-learning knowledge capture system