- The Starting Point: A Leadership Team That Needed More Than a Toolset
- How the Engagement Worked
- What Changed
- Why This Matters If You're Evaluating AI Leadership Development
- Frequently Asked Questions
PetLab had the tools. What it didn't have was a leadership team that knew how to use them.
That's not a criticism — it's the most common situation we see at fast-moving consumer brands. You invest in AI infrastructure, roll out the platforms, and watch adoption stall somewhere between the IT team and the executive floor. The tools sit there like an expensive squat rack in the corner of a gym nobody visits.
PetLab recognized that gap. And they were serious about closing it.
The Starting Point: A Leadership Team That Needed More Than a Toolset
PetLab is a high-growth pet health brand. Their leadership team is sharp, commercially driven, and used to moving fast. But on AI, there was a real disparity in fluency across the senior team. Some leaders were experimenting. Others were waiting to be shown why it mattered. A few were skeptical it applied to their function at all.
That's normal. It's also fixable — but only if you address mindset and skillset alongside the toolset. Handing executives a new platform and a login doesn't change how they think about decisions. It doesn't build the instinct to ask "where could AI improve this?" before a meeting, or the confidence to push back on an output that looks plausible but is wrong.
That's the gap AI Performance Lab is built to close.
How the Engagement Worked
Starting With a Diagnostic, Not an Assumption
PetLab didn't jump straight into a 12-month commitment. They started with the AI Advantage Sprint — a 30-day diagnostic that scored every senior leader on AI fluency, included one-on-one interviews with each person, and delivered a 90-day strategy brief.
That brief gave PetLab's leadership something concrete: a clear picture of where each leader stood, where the biggest gaps were, and what a structured development path should prioritize. No guesswork. No generic curriculum built for someone else's company.
The Sprint is designed for exactly this moment — when an organization knows it needs to act on AI leadership capability but isn't ready to commit to a year-long program without first seeing what it's working with. You get a real artifact within 30 days. Then you decide.
PetLab decided to go further.
The 12-Month Program: Building Fluency That Sticks
The full AI Performance Lab program runs for 12 months, structured around four quarterly on-site workshops, monthly 60-minute live cohort sessions, and an always-on video library refreshed weekly. The library covers prompting, agentic workflows, decision intelligence, and AI governance — the things senior leaders actually need to make better decisions, not just to sound informed in a board meeting.
At Month 1, every leader completed the AI Fluency Diagnostic. That score became the baseline. At Month 12, they took it again. The delta between those two scores is the documented proof of progress — not a feeling, not anecdotal feedback, but a measurable number.
For PetLab, the quarterly on-site workshops gave the leadership team shared language and shared experiences. When your CMO, CFO, and Chief People Officer have all worked through the same live prompting exercises and identified their own top AI opportunities, the conversation at the leadership table changes. They stop talking past each other. They start building on each other's thinking.
The monthly 60-minute sessions kept momentum between workshops. Fluency doesn't build in a single day. It builds through repeated exposure, practice, and the kind of accountability that comes from knowing your cohort will ask what you've applied since last month.
What the Program Focused On
The curriculum wasn't generic. Based on the Sprint diagnostic, PetLab's program concentrated on three areas:
Decision intelligence. How to use AI to sharpen strategic decisions, not just speed up operational ones. This is where senior leaders get the most value — and where most AI training programs never go.
Prompting as a leadership skill. Not the tactical "write me an email" version, but the ability to structure a complex problem for an AI system and evaluate the output critically. That's a different skill, and it takes practice.
AI governance and risk. PetLab's leaders needed to ask the right questions about AI use across their functions — not just adopt it themselves, but set the standard for how their teams use it responsibly.
What Changed
By Month 12, PetLab's senior leadership team had moved from uneven individual experimentation to a shared, structured approach to AI. Leaders who had been skeptical were identifying AI applications in their own functions. Leaders who had been early adopters were operating with more discipline and better judgment about when AI adds value and when it doesn't.
The AI Fluency Diagnostic scores confirmed what the team felt: measurable improvement across the board, with the largest gains among the leaders who had started with the lowest baseline.
That's not a coincidence. The program is built to meet leaders where they are and develop from there. A one-size-fits-all workshop can't do that. A 12-month program with a diagnostic baseline and monthly accountability can.
Why This Matters If You're Evaluating AI Leadership Development
The PetLab engagement illustrates what genuine AI leadership transformation consulting actually looks like. It starts with a diagnostic, not a pitch. It measures progress at the beginning and the end. It builds capability over time rather than in a single day. And it holds itself accountable — if scores don't improve, the program extends at no charge.
That last point is worth sitting with. Most training vendors don't offer that because they can't stand behind the outcome. The AI Performance Lab outcome guarantee exists because the program is built to produce measurable results, not just strong session ratings.
If your organization is in a similar position to where PetLab started — tools deployed, adoption uneven, leaders at different points on the AI fluency curve — the right first step is understanding exactly where each of your leaders stands.
You can explore the program and what it's produced for organizations like PetLab at AI Performance Lab. The AI Readiness Assessment on the site is a useful starting point before any conversation.
Frequently Asked Questions
What did PetLab's AI leadership development engagement involve? PetLab worked with AI Performance Lab across two phases. First, the AI Advantage Sprint — a 30-day diagnostic that scored every senior leader on AI fluency and delivered a 90-day strategy brief. Then the full 12-month program, which included four quarterly on-site workshops, monthly 60-minute live cohort sessions, and access to an always-on learning library covering prompting, agentic workflows, decision intelligence, and AI governance.
How does AI Performance Lab measure whether the program actually worked? Every leader completes the AI Fluency Diagnostic at Month 1 and again at Month 12. The difference between those two scores is the documented proof of progress. It's not self-reported satisfaction — it's a scored assessment with a measurable delta.
What happens if the program doesn't produce results? The program extends at no charge until fluency scores improve. That's the outcome guarantee, stated plainly. There's also a 30-day exit option with a prorated refund for organizations that decide early on it isn't the right fit, and a service quality guarantee that includes partial fee refunds for any missed deliverables.
Is AI Performance Lab a software or platform vendor? No. AI Performance Lab doesn't deploy AI tools or sell software. The program develops mindset, skillset, and toolset in the people who lead organizations. The focus is entirely on the human side of AI capability — how senior leaders think about, evaluate, and apply AI in their roles.
What makes the AI Advantage Sprint different from a standard workshop? The Sprint is a 30-day diagnostic engagement, not a training event. It scores every senior leader individually, conducts one-on-one interviews, and produces a 90-day strategy brief specific to your organization. You get a concrete artifact and a clear picture of your leadership team's AI fluency before committing to anything longer.
Who is the AI Performance Lab program designed for? Senior executive teams at large enterprises — typically organizations with 1,000 or more employees that are already investing in AI tools but seeing uneven adoption or unclear ROI at the leadership level. Buyers are typically Chief People Officers, Chief Learning Officers, or Chiefs of Staff to the CEO.
How do I find out more about what AI Performance Lab did for PetLab? The full PetLab case study is available at aiperformancelab.ai/case-studies. You can also book a call directly through the site to discuss whether a similar engagement makes sense for your leadership team.