Rick Thomas
I help companies turn AI potential into products that ship, scale, and sell.
I’m Rick Thomas — a product leader with 25 years in Commerce & Martech, blending engineering depth with executive communication. Former Salesforce PM and multi-cloud initiative lead (Commerce Subscriptions, Salesforce Tax, Einstein personalization). I turn ambiguous AI ideas into trustworthy, revenue-driving products.
Services
Product-Led AI (Consulting)
Hands-on product leadership to align outcomes, cut noise, and get AI into production with the reliability and adoption it needs to stick.
Strategy Sprint
From idea to actionable plan with outcomes, risks, metrics, and an execution path stakeholders can align on.
You get: roadmap, risk/decision log, KPI model.
Use it for: securing funding, scoping the first ship cycle.
Delivery & Integration
4–6 weeks
Bridge Data Science → Production with a pragmatic integration plan (APIs, data, MLOps) and a release that actually ships.
You get: integration map, delivery schedule, Definition of Done.
Use it for: making models reliable, observable, and supportable.
Explainability & Adoption
2–4 weeks
Decision guardrails and XAI patterns that build trust and drive usage.
You get: XAI patterns, rollout playbook, enablement assets.
Use it for: adoption, risk reduction, renewals, and expansion.
Fractional PM
Single-threaded ownership of your AI initiative — from discovery to spec to shipped release.
AI Product Strategy — Turn AI experiments into shipping products
Define value thesis, scope a measurable MVP, and set adoption/revenue metrics so the team ships with clarity and purpose.
Delivery & Integration — Own the handoff and the ship
Orchestrate data science, platform, and app teams to integrate models into production with observability, SLOs/SLAs, and a crisp Definition of Done.
Technical Due Diligence — Evaluate AI vendors and internal readiness
Evaluate AI vendors and internal readiness across data, model fit, MLOps, cost, security, and compliance. Deliver vendor scorecards, a risk heatmap, and a clear go/no-go recommendation.
Case studies
Case studies database
When a client was losing profitable deals to faster-acting competitors, we engineered an AI-powered monitoring system to restore their competitive edge.
About
I’m a product leader who blends engineering depth with executive communication. I work best where stakes are high, timelines are real, and cross-team alignment is the difference between “pilot” and “in production.”
I own the thread end-to-end so decisions stick and releases land.
Contact
Want the signal without the spin? Let’s talk.
Case StudiesFrom idea to actionable plan with outcomes, risks, metrics, and an execution path stakeholders can align on.
You get: roadmap, risk/decision log, KPI model.
Use it for: securing funding, scoping the first ship cycle.
Decision guardrails and XAI patterns that build trust and drive usage.
You get: XAI patterns, rollout playbook, enablement assets.
Use it for: adoption, risk reduction, renewals, and expansion.
Strategy Sprint Delivery & IntegrationExplainability & AdoptionAI Strategy & Implementation