Professional/Case Studies/Case Study 03
Professional · Case Study 03
Enterprise AI Operating Model · Lowe's
A company-wide AI mandate arrived with tools and no playbook — and ungoverned use had already quietly started. I built the governance before the workflows, and took three skeptical disciplines to full adoption in under 60 days.
Organization
Lowe's Companies, Inc.
Fortune 50 Retail
Role
Senior UX Manager
UX · Research · Content
Scope
3 disciplines
One governed model
Adoption
Under 60 days
Enterprise-wide
The Mandate
Leadership issued a company-wide AI adoption mandate to stay competitive. Tools were provided — but no playbook, no use cases, and no implementation direction came with them.
The real exposure wasn't that the team wouldn't use AI. It's that they already were — informally, inconsistently, and without any review. Leadership issued the mandate. I built the model.
No playbook
Tools with no direction
Ungoverned
Informal use already started
No standards
Prompt quality varied widely
No gates
Unvalidated outputs in the cycle
Skeptical
Three disciplines, low trust
Exposed
Risk without a measurable return
The Diagnosis
I built the governance before I built the workflows. Ungoverned AI at enterprise scale isn't innovation — it's risk without a return. One validated path ran across all three disciplines, with a mandatory human review gate no output could skip.
The Intervention
Before: 2 researchers for 15+ products. Manual transcript review. Reports in 5–7 days. Insights trapped in personal files. After: structured-prompt synthesis with lead-researcher validation. Reports in 2–3 days. A repository organized by product line.
Before: copywriting built manually from scratch. Content designers owned full production of every piece. After: a custom GPT trained on brand voice and UX-content standards. Immediate adoption. Capacity freed for competitive audits.
Before: sketches manually recreated as wireframes. Discovery cycles of 2–5 days. 2–3 alignment rounds before sign-off. After: a sketch-to-wireframe pipeline. Iteration compressed to ~2 days. Alignment rounds down to one. No final UI without human review.
The Result
Research synthesis time
baseline
−45%
Report turnaround
5–7 days
2–3 days
Design iteration cycle
3–5 days
~2 days
Alignment rounds to sign-off
2–3
1
Full adoption across 3 disciplines
—
<60 days
Source: research workflow tracking; sprint analytics; alignment session logs · Lowe's, 2022–2024
In one tracked sprint, a senior designer delivered three validated prototype options in a single day — compressing a 3–5 day cycle and letting Product decide that sprint, not the next.
Leadership in Action
The mandate came with tools and no direction. I designed the governance model first, then built the workflows around it.
The team was skeptical because they had no examples. I built the prompt frameworks, review checkpoints, and repository standards — then showed them what responsible AI looked like in practice.
Three resistant disciplines became structured daily adopters within 60 days. The result wasn't compliance — it was capability.
AI accelerates thinking. Governance protects integrity. Leadership builds the bridge between them.