Commercial AI is real. Capture is rare.
A research briefing for B2B leaders who want to find where AI can create commercial leverage before buying another tool.
The full report connects the commercial AI value gap to a practical decision: where should a B2B company aim AI first so it improves the buyer journey, qualified demand capture, follow-up, and internal focus?
Estimated annual economic potential of generative AI across business functions.
McKinsey Global Institute ↗Share of AI pilots that do not show measurable P&L impact in common enterprise studies.
MIT NANDA State of AI in Business 2025 ↗Approximate share of companies that behave like mature AI high performers.
McKinsey State of AI 2025 ↗The winner is not the company that adopts the most AI.
The winner is the company that knows where AI can create visible commercial leverage and where it is only theater.
- —Starting with the tool instead of the commercial workflow.
- —Funding novelty before measurable buyer or revenue friction is understood.
- —Building custom AI where existing software or process cleanup would be faster.
- —Launching pilots without a clear owner, metric, or follow-up path.
From research to your company.
The report shows where commercial AI value usually appears. The AI Growth Audit identifies where it appears in your buyer journey and what should be fixed first.
Use the report to understand the pattern. Use the audit to decide what to fund first before tools, campaigns, automation, or implementation.
Apply for the auditWhat this helps decide
Whether your first AI budget should go toward visibility, conversion, lead capture, CRM follow-up, workflow automation, or internal decision support.
What it does not claim
It does not guarantee ROI, replace company-specific analysis, or recommend buying AI tools before the business case is clear.
Best next step
If the report resonates, apply for the AI Growth Audit so the opportunity map is built around your company, buyer journey, and growth system.