The dominant narrative around generative AI adoption in small and medium-sized businesses treats the technology itself as the primary determinant of outcome. Under this framing, the rational owner-operator concludes that hiring an external implementer is an avoidable expense — a cost made visible by an invoice and weighed against tools that appear nearly free. This paper examines whether that conclusion holds up under empirical scrutiny. Synthesizing evidence from six independent research streams — executive coaching meta-analyses, MOOC attrition data, SaaS onboarding benchmarks, the Implementation Science literature on facilitation, recent enterprise GenAI deployment research, and educational psychology on scaffolding and deliberate practice — the analysis reveals a consistent pattern: expert-mediated implementation outperforms self-directed adoption by ratios approaching two to one across measurable outcomes. The 2025 MIT NANDA State of AI in Business report finds that vendor-partnered AI deployments succeed roughly 67% of the time versus 33% for internal self-directed builds. Comparable ratios appear in SCORE small-business mentoring data, SaaS activation benchmarks, and decades of facilitation research in health services. The paper introduces the Agentes Para Tu Negocio model — a "done-WITH-you" implementation approach situated within the Implementation Facilitation construct established by Stetler, Kirchner, and colleagues — as a structurally appropriate response for Hispanic-owned SMBs, a population whose AI adoption rate doubled between 2024 and 2025 yet remains underserved by the existing dichotomy of pure DIY or opaque done-FOR-you outsourcing. The proposed model treats business judgment, not the tool, as the active ingredient.
Humberto Inciarte (2026) studied this question.