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Case study · From the Pluris libraryReceipt no. 8020
What sucked

Large enterprises have invested heavily in AI tools like Microsoft Copilot and ChatGPT, yet only 8–9% of knowledge workers are genuinely AI-proficient.

Deployment has stalled due to employee anxiety driven by media narratives, constrained or underfunded AI licenses, lack of cultural buy-in, absence of a clear organizational AI point of view, and insufficient training, resulting in poor ROI on AI investments and growing risk of enterprise client churn for AI vendors.

Professional ServicesAI Adoption & Training6–12 months
What they built

Section delivers a structured AI workforce transformation program covering AI manifesto development, license upgrades, change management, proprietary AI coaching certification via Prof AI, and hands-on workflow redesigns for the 3–5 highest-impact workflows per team.

What changed
From 8% to 50%+ AI Proficiency in 12 Months

Section's approach consistently moves enterprise workforces from early-adopter levels (8–9% proficiency) to 50%+ meaningful usage within a year, creating measurable ROI and competitive differentiation for organizations committed to transformation.

Productivity Gains of 10–25% in Language-Intensive Teams

Workflow redesigns targeting the most repetitive and complex knowledge-work tasks, in teams like content marketing, brand management, and product development, deliver 10–25% productivity improvements, freeing employees from busy work and enabling higher-value contributions.

AI Board Prep Matches Human Board Input at 85–90% Accuracy

Greg's personal practice of feeding board pre-reads to four AI personas (aggressive growth, conservative, CFO-minded, etc.) consistently aligns 85–90% with what human board members actually raise in meetings, demonstrating AI's value as an executive-level thought partner, not just an operational tool.

Time to results
6–12 months
Company size
5,001+ people
Who did it
Greg Shove
CEO, Section

Vetted by Pluris.