Former Google PM • Azteco co-founder • AI systems built by operators
OpsAI Lab helps operations-heavy teams identify where AI can safely reduce manual work, then builds the reliability layer around the workflows that pass the business case.
How It Works
We separate real workflow leverage from AI novelty before asking you to fund a build.
Tell us where work is slow, repetitive, error-prone, or hard to scale. You get a directional scan of the most plausible AI leverage points.
We pressure-test the scan with real volume, cost, quality, and process data so the next step is grounded in how your team actually works.
If one workflow has a clear business case, we build the automation, evals, escalation paths, dashboards, and handoff process around it.
Operating Reality
The best candidates are high-volume workflows with clear rules, measurable error cost, and a human escalation path.
Fit
We work best with operations-focused leaders at companies doing $5M-$500M in revenue
Engagements
Tailored solutions for every stage of your AI-Ops journey
We map your top 3 AI opportunities, then refine them with your team in a 60-min walkthrough. Two free steps before you ever talk price.
Complete automation implementation with enterprise-grade security.
Ongoing strategic guidance and optimization.
Empower your team with practical AI-Ops skills.
Framework
We use SHIFT to move from messy current-state workflows to tested, governed AI-assisted operations.
Capture the current workflow
Redesign a realistic future state
Build & integrate the automation
Iterate until KPIs hit target
Roll the solution out to the team
Field Notes
Practical writing on workflow reliability, evals, escalation, and where AI can safely reduce manual load.
Ticket taxonomy, source-backed answers, QA loops, and escalation paths before support automation scales.
Read article
CRM hygiene, routing, forecasting inputs, and human approval checkpoints before revenue agents go live.
Read articleScorecard
A workflow only becomes a build candidate when the measurement plan is concrete.
Team
You work directly with Paul and Jeff on every engagement — from the scan through the build.
Founder & Principal
Architects and ships agentic AI systems for operations — agents, retrieval-augmented generation, tool-use orchestration, and the engineering realities of making LLMs work reliably in production. Two decades of production engineering, former Product Manager at Google. Started OpsAI Lab because most AI consultants don't understand operations — and most ops leaders are tired of AI demos that never ship.
Principal, Strategy & Business Systems
Philosopher and entrepreneur at heart, Jeffrey thinks abstractly about how data, AI, incentives, and operating models come together to create value. His work at Google Cloud sits at the intersection of data and AI, and he helps pressure-test where AI should change a workflow versus where the business system needs to be redesigned first.
Operating Standard