POLR AI

Stop Guessing: How to Audit Your Operations for High-ROI AI

Marketing AI Institute

Google

Brennan Gerle

Founder, POLR AI | Chief AI Officer

Find hidden bottlenecks in your daily operations that are bleeding profit.

Identify Friction Points

Quantify the annualized "Cost of Inefficiency" to prove ROI to stakeholders.

Calculate Inefficiency Costs

Prioritize your list to find the single best "Seed Project" to launch immediately.

Rank Pilot Opportunities

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

Your growth has stalled. AI can show you the gaps in your marketing strategy.

Fractional DTC Marketing Leader

Estée Lauder

StartupCD

BioSchwartz

Love Wellness

Dropps

Temilola Agbede

Fractional Marketing Leader & Advisor for Consumer Brands

June 2, 2026

DTC brands often pour budget into ads, optimizations, and agency retainers without ever stopping to ask which part of their marketing is actually broken and why. They guess. They tweak. They move on. The result? They keep spending on a leaking bucket.This workshop changes that. In 90 minutes, you'll use AI as a first-pass audit tool to pressure-test the two areas where most DTC marketing quietly breaks down: your brand story and your conversion experience. You'll run real prompts on your own brand, build a DTC Marketing Signal Map that shows where your highest-risk gaps are, and leave with a clear picture of what to investigate next.This isn't a lecture on what good marketing looks like. You'll leave with an actual analysis built from your own brand's inputs that tells you where to focus your attention and your budget.AI will do the surface work. You'll know what to do with what it finds.

Stop guessing what's broken. Use AI to audit your brand story and conversion experience and know exactly where to focus.

Run AI-Powered Audits on Your Brand Story and Conversion Experience

Build Your DTC Marketing Signal Map

Turn Your Findings Into a Prioritized Action Plan

Brand Founders who sense something in their DTC marketing isn't working but can't pinpoint where the leak is.

Consumer Brand Marketers who know there are gaps in their customer journey but haven't had a fast, systematic way to surface them.

Freelancers, Consultants &amp; Brand Advisors who want a repeatable AI-powered audit method to bring into client engagements.

Ask the right questions and spot the hidden landmines in AI data analysis -- without code or math.

CoS, data scientist, and UPenn prof.

DP 140th

GW University

William & Mary

Nicky Bell, PhD

Chief of Staff | 2x data team builder | 10 years teaching experience

Founding Cohort

<h2>Is This You? </h2><ul><li>You're a Chief of Staff or BizOps leader expected to analyze and report data that shapes executive decisions.</li><li>You can build a spreadsheet, but you have no formal data training and don't see yourself as a "data person."</li><li>AI didn't take your data work away, but suddenly the room rewards a fluency you were never trained for.</li><li>You looked at other courses and they all wanted to teach you to code.</li></ul>This course teaches the judgment that makes AI-generated analysis trustworthy. You'll see blind spots, ask sharper questions, and become the operator the C-suite trusts when AI is on the agenda.Own your analysis and command the room.*****🎓 What You'll Get<ul><li>1:1 coaching — 30 minutes to map your organization's data challenges and leave with an actionable blueprint.</li><li>Live audits of real AI-generated outputs — submit a report from your own data and watch 2–3 anonymized examples get evaluated and rebuilt, live.</li><li>More than 7 hours of video + classroom instruction.</li><li>Early access to Circuit — Apply your new judgment with one click, free to Founding Cohort members.</li></ul>

PhD-level judgment, without the PhD-level pain.

Spot the bias and hallucinations that AI can't catch itself.

Direct AI to produce analysis you can stand behind. 

Separate correlation from cause and suggest the right next move.

 Workshop your real AI-generated reports live with the cohort.

Compound your career as AI reshapes the org.

We'll take a first-principles approach to data analysis. You'll learn the mindset of a data person -- and the outputs will follow naturally.

Curiosity about the process of data analysis, not just outputs.

If you've used ChatGPT, Claude, or any LLM for simple tasks like summarizing notes, you're ready.

Basic familiarity with AI tools.

We'll provide datasets for examples, but you'll get more value applying these concepts to your own work.

Access to some data.

Chiefs of Staff, BizOps leaders, and generalists responsible for guiding data-driven decisions without a dedicated analyst counterpart.

Operators who want to leverage AI for data analysis, but don't know how to trust the results.

Anyone who has ever said, "I'm not a data person." Data isn’t about code or math. Data is about judgment, and judgment can be learned.

Master the systems to stop micromanaging and transition from a referee to an orchestrator of a self-running team.

Founder at The Strength Hack

Daimler AG

Airbus

Audi

Toll Collect GmbH

Murk Creusen

Founder & Leadership Coach at Strength Hack

You cannot fix burnout by working harder. You have a matching problem.AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this "AI anxiety" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.Most Engineering Managers spend 70% of their week trapped in the "Mediocrity Loop" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.In 4 weeks, you will:<ul><li>Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space. </li><li>Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.</li><li>Drive ROI: Transition from a reactive referee to a strategic orchestrator</li></ul>

Engineer Psychological Safety. Stop Refereeing Your Team.

Shortcut the "Storming" Phase to Engineer Swift Trust

Reclaim 70% of Your Week (Plug the Energy Leak)

Turn Personality Clashes into Solvable Data

Restore the "Who Knows What" Architecture Your Team Lost

Walk Away with a "Plug-and-Play" Facilitation Kit

To get ROI from this course, a real-world team (direct reports or agile squads) is recommended to apply the Matching Compass frameworks.

Team Leadership or Management Role

You must take the free Big Five test (or CliftonStrengths) before to map your personal psychological operating system.

Completion of a Baseline Assessment

The Overwhelmed Engineering Manager / Tech LeadYou lead a hybrid or remote team. You want a data-driven system, not another workshop.

The Ambitious Senior / Staff Engineer<blockquote>You're moving to people manager. You want proven frameworks to lead a team without micromanaging.</blockquote>

The People-Conscious CTO / CPO<blockquote>You own culture and delivery for 10–200 people. Your board wants AI readiness. You need L&amp;D that's credible.</blockquote>

Stop Guessing: How to Audit Your Operations for High-ROI AI

What you'll learn

Why this topic matters

You'll learn from

Brennan Gerle