The Role of AI in Sales: From Lead Scoring to Pipeline Forecasting

Frequently Asked Questions

01.Does AI lead scoring increase sales revenue?

It can, but results vary widely. In a 132-day online A/B test at a new energy vehicle brand, lead scoring built on a large language model lifted sales volume by nearly a tenth against the brand's existing click-through-rate model ranking (arXiv, June 2026), while the most common revenue gain reported by firms using AI in marketing and sales is modest (Stanford HAI AI Index, April 2025). The difference usually comes down to whether the CRM records reliable outcome labels for won and lost deals.

02.Is AI sales software high-risk under the EU AI Act?

Most of it is not. Annex III lists AI systems that monitor and evaluate the performance and behaviour of people in work-related relationships as high-risk, which can capture conversation intelligence tools that grade sales reps, along with creditworthiness scoring of individuals. Scoring business prospects is not listed. Under the Digital Omnibus on AI, Annex III obligations apply from 2 December 2027 (Regulation (EU) 2026/1744, July 2026), while the duty to tell people they are interacting with an AI system applies from 2 August 2026.

03.Should a company build or buy its AI sales tools?

Most enterprises now buy: about three in four enterprise AI use cases were purchased rather than built internally in 2025, up from roughly half in 2024 (Menlo Ventures, December 2025). Buying suits lead scoring and call capture. Building is worth considering when the firm's own outcome data, such as long sales cycles or regulated pricing, is the edge a vendor model cannot see.