---
id: "claim-implementation-speed"
type: "claim"
source_timestamps: ["§ Myth 5"]
tags: ["speed", "implementation", "time-to-market"]
related: ["concept-gen-ai-mvp", "evidence-implementation-timeline", "action-mvp-deployment"]
confidence: "high"
testable: true
speakers: ["Doug J. Chung", "Candace Lun Plotkin", "Siamak Sarvari", "Jennifer Stanley", "Maria Valdivieso"]
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 solutions can be built and deployed in weeks

## Claim: Gen AI solutions can be built and deployed in weeks

**Statement:** Contrary to the myth that Gen AI takes too long to implement, targeted solutions can be developed in a matter of **weeks**.

**Supporting evidence in the source:**
- A machinery distributor developed a knowledge-management solution in **just one month**.
- A telecom operator built a Gen AI-powered account-plan generation tool in **exactly six weeks**.

This underwrites the [[concept-gen-ai-mvp]] mindset and the [[action-mvp-deployment]] step.

**Confidence:** HIGH (article), consistent with market practice.

**Enrichment (calibration):** The "weeks, not years" timeline matches current descriptions of commercial Gen AI projects (AI-powered campaigns launching ~75% faster; content/campaign timelines compressing from weeks to days; plug-and-play SaaS and open-source models lowering integration effort). Caveat: enterprise-grade deployments with 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]].