---
id: "concept-gen-ai-mvp"
type: "concept"
source_timestamps: ["§ Myth 5"]
tags: ["mvp", "agile", "implementation", "deployment"]
related: ["claim-implementation-speed", "quote-mvp-mindset", "action-mvp-deployment", "evidence-implementation-timeline"]
definition: "An agile approach to deploying Generative AI solutions quickly (often in weeks) by utilizing off-the-shelf LLMs and focusing on core functionality rather than waiting for absolute perfection."
sources: ["attention"]
sourceVaultSlug: "hbr-seg-attention"
originDay: 4
articleStem: "hbr-cl-90-genai-myths-sales-marketing"
sourceUrl: "https://hbr.org/2025/02/5-gen-ai-myths-holding-sales-and-marketing-teams-back"
sourceTitle: "5 Gen AI Myths Holding Sales and Marketing Teams Back"
---
# Gen AI Minimum Viable Product (MVP)

## Gen AI Minimum Viable Product (MVP)

**Myth it dismantles (Myth 5):** Implementation will take years and require massive custom infrastructure.

**Reality:** Deploying Gen AI in marketing and sales is generally feasible within a **few months**, and even faster — **weeks** — for limited, specific use cases. The complexity of building foundational LLMs has been abstracted away: they are now available **"as a service."** Companies can rely on off-the-shelf solutions or enterprise software that already embeds Gen AI. When customization is needed, it usually just means linking existing AI functionality to specific business processes.

The primary cause of delay is **not** technical limitation — it is the organizational **quest for perfection**. Leaders are advised to adopt a **Minimum Viable Product (MVP) mindset**: address critical risks, but deploy quickly to learn and iterate rather than waiting for a flawless system. The canonical framing is [[quote-mvp-mindset]] ("Think minimally viable product (MVP), not most perfect product"), and the concrete step is [[action-mvp-deployment]].

**Proof point:** targeted solutions ship fast — a machinery distributor built a knowledge-management solution in one month; a telecom operator built a Gen AI-powered account-plan generator in six weeks. See [[claim-implementation-speed]].

**Enrichment (external caveat):** The "weeks, not years" MVP framing matches how most commercial Gen AI projects are now described (AI campaigns launching up to 75% faster; timelines compressing from weeks to days). But enterprise-grade rollouts involving security, compliance, multi-region data, and legacy integration can take months to over a year. The realistic pattern is **pilot in weeks, scale in months** — see [[evidence-implementation-timeline]].


## Related across articles
- [[concept-doing-to-learn-approach]]