AI Point Products vs. Platforms: Why the 10x ROI Gap Matters for Your Business

AI Point Products vs. Platforms: Why the 10x ROI Gap Matters for Your Business

New research from Deloitte quantifies what many AI practitioners have suspected: not all AI is created equal. Companies deploying a full AI platform see nearly 10 times the return on investment compared to those using standalone AI tools — and DocuSign's latest earnings data makes the case in concrete numbers.

Key Takeaways

• The ROI divide is real. A Deloitte study of over 1,100 senior leaders across six countries found AI point products yield a 3% ROI increase on average. End-to-end AI platforms deliver nearly 30% — a 10x difference in value created.
• 75% of DocuSign's new code is now AI-assisted, up from 60% just last quarter. CEO Allan Thygesen called the pace of product launches "probably an all-time high." The two figures suggest a direct causal relationship: more AI-assisted development equals more products shipped faster.
• MCP connectors are the new integration layer. DocuSign's MCP server connects its Intelligent Agreement Management (IAM) platform directly to Claude, ChatGPT, GitHub Copilot, Microsoft Copilot Studio, and Salesforce Agentforce. Thousands of developers signed up for beta before a dollar of revenue was generated — a strong leading indicator for future growth.
• Proprietary training data is a structural moat. DocuSign's Iris AI engine is trained on 200 million consented private agreements, delivering 25% better precision and recall than models trained on public contract data — at processing costs 50x lower than running direct LLM prompts.

Real-world outcomes back the numbers: Crete United reduced contract negotiation times by 80%; Milky Moo saved over 1,000 hours of manual work annually; Experian and HSBC improved seller productivity and digitized credit lending workflows.

Read the full article on AIM Media House