---
id: "claim-ai-saves-prospecting-time"
type: "claim"
source_timestamps: ["§ Measure and Quantify the Impact"]
tags: ["efficiency", "prospecting"]
related: ["action-baseline-measurement", "contrarian-precision-in-measurement", "org-sap"]
confidence: "high"
testable: true
speakers: ["Sunil Gupta", "Frank V. Cespedes"]
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-foci-64-ai-broaden-customer-base"
sourceUrl: "https://hbr.org/2025/03/how-one-company-used-ai-to-broaden-its-customer-base"
sourceTitle: "How One Company Used AI to Broaden Its Customer Base"
---
# AI Reduces Prospecting Time Without Harming Conversion

**Claim (confidence: high; testable: yes).** [[org-sap|SAP]] measured the time required to **reach 1,000 prospects manually versus using AI tools**. The data showed that sales teams **saved almost 40% of their time** using [[concept-digital-modalities|Digital Modalities]], with **no significant difference in conversion rate** between the two approaches. The measurement method is documented in [[action-baseline-measurement]], and the tolerance for approximate rather than precise attribution is defended in [[contrarian-precision-in-measurement]].

> **Enrichment check:** The concept that AI prospecting tools save time without harming outcomes is **plausible and directionally supported** — SAP CX highlights AI agents that auto-generate campaign content and lead talking points, and adjacent evidence (e.g., SAP Concur AI-powered search producing a ~30% decline in case submissions) demonstrates large efficiency gains without evidence of quality loss. But the specific **40% figure and the "no significant difference in conversion"** finding remain **unverified outside the HBR case**.