5 Enterprise AI Takeaways from Dreamforce 2025: Turning Pilots into Performance

The energy at Dreamforce was electric, fueled by the accelerating potential of Agentic AI. The event made it clear that the enterprise AI conversation has evolved from potential to performance. 

With over 12,000 customers testing Salesforce’s Agentforce capabilities, one message stood out: the organizations winning today are those turning AI pilots into measurable business impact. 

TP leaders attended the event to understand what’s next for enterprise AI and share it in The Scoop With TP, the new video series that highlights the world’s most influential AI events in the world. 

Drawing from insights shared by William Fritcher, Global Chief Client Officer for Enterprise Accounts at TP, and Daniel Hong, TP’s VP of Market Strategy at Dreamforce, here are the five key trends shaping the next wave of enterprise AI adoption. 

1. Agentic AI Moves from Hype to Measurable Impact 

Companies like Williams-Sonoma, Pandora, Pepsi, and Dell showcased real-world agentic AI deployments driving tangible results. 

But despite the excitement, 95% of AI pilots still fail. As William Fritcher, Global Chief Client Officer for Enterprise Accounts at TP, notes: 

“That’s where TP can help clients move from experimentation to enterprise-scale deployment.” 

2. Data Readiness Becomes the Foundation for AI ROI 

AI’s success depends on data uniformity and context. 
As the VP of Market Strategy at TP Daniel Hong observed, “before agentic AI can deliver any value, organizations must clean, consolidate, and structure their data.” 

This “data readiness” movement is accelerating as companies realize that fragmented data undermines AI value. 

3. From Science Projects to Scalable Governance 

Dreamforce speakers emphasized the need for value-driven governance — linking every AI use case to measurable KPIs. 

TP supports this shift by embedding ROI frameworks and ethical guardrails into every client deployment. Through agile governance models, organizations can scale AI confidently — balancing innovation speed with compliance and human oversight. 

4. Quantum Acceleration and Human-in-the-Loop 

One standout keynote came from Google CEO Sundar Pichai, who predicted that quantum computing could become reality within three years. 

For enterprise leaders, this means exponential computing power. And together with that, the need for a human-in-the-loop strategy to ensure AI decisions stay ethical, explainable, and customer-centric. 

As Hong puts it, “Human adaptability remains our greatest advantage. The future of AI is human guided.” 

5. The Rise of the “Customer Zero” Mindset 

Enterprises are realizing they must test AI internally before scaling externally. Fritcher highlighted how leading firms like Microsoft use “customer zero” pilots to validate outcomes before client rollout. 

The Next Phase: From Pilots to Enterprise Scale 

As CFOs demand stronger returns, 2026 will mark a shift from pilot projects to enterprise deployment. 

The winners will be those that can orchestrate people, process, and technology holistically — with trusted partners guiding the journey. 

TP is already helping global enterprises: 

• Transition from AI experimentation to measurable deployment 
• Build data and governance maturity frameworks 
• Enable CX transformation through human-AI collaboration 
• Scale responsibly with TP.ai FAB 

As William Fritcher summarized, “Innovation is impatient. To lead, you must move fast — but with the right structure and trusted partners.” 

Watch the full Scoop with TP episode featuring William Fritcher and Daniel Hong!

This post is part of The Scoop with TP video series, where TP leaders share insights from global AI and technology events into real-world business implications and strategic takeaways for decision-makers.