Every year, Dreamforce sets the agenda for what’s next in enterprise technology. This year, the focus was undeniably on moving from experimental AI to the Agentic Enterprise—a fully transformed operating model where AI agents drive measurable business value and customer loyalty.
Two of TP’s global leaders, Mamta Rodrigues and Ruchi Gupta, attended Dreamforce 2025 to analyze what this means for real-world transformation.
Their biggest takeaway?
Here are the three critical trends every leader needs to act on now to prepare for the Agentic era:
As Mamta Rodrigues shared from Dreamforce:
“Humans still build relationships. Agents do the busy work.
Humans build trust. Agents ensure compliance.
Humans bring empathy. Agents bring scale.”
The age of simple speed gains and efficiency plays is over. The true test of innovation is whether your AI systems can build loyalty — not just moving faster.
AI should augment human empathy and enable customer experiences that feel personalized, trusted, and continuous. Whether it’s automating financial operations or powering customer interactions, the goal is the same: turning data into deeper relationships.
For industries like BFSI, that means scaling AI responsibly — without compromising compliance or trust. According to Mamta, the future market leaders will be those that master safe, secure, and human-aligned AI orchestration.
The Agentic Enterprise represents the next level of transformation — where AI agents collaborate with humans across departments to make decisions, reduce friction, and improve the customer journey end-to-end.
Ruchi Gupta defines this evolution as a mindset shift: “AI is an enabler, but it must be human-powered.”
Both leaders emphasized that this stage depends on orchestration — the seamless connection of human expertise and AI intelligence across business units.
This transformation isn't an option; it's the next necessary stage for digital leaders.
As AI deployments grow, the focus shifts entirely to responsible AI. You cannot scale a system that is not secure, fair, and compliant.
Ruchi Gupta emphasized that deploying AI responsibly hinges on data governance. Real-world case studies show that foundational success requires handling large, complex, and highly sensitive data responsibly.
“Data-driven approaches turn marketing into a dynamic conversation — underscoring the value of human-centered innovation. AI compliance, trust, and governance are relevant to any new technology.”
At Dreamforce, case studies from brands like Williams Sonoma and Pandora proved that measurable business outcomes — from customer retention to productivity gains — depend on trustworthy AI systems and transparent data usage.
As Mamta Rodrigues put it: “Start small, take executable risks, but remember what truly matters — your customer.”
The insights from Dreamforce confirm that AI transformation is entering a mature, demanding phase. Success relies on:
That’s exactly where TP leads the way.
TP has deep expertise in AI orchestration and regulated industries (like BFSI) to help companies transition to the Agentic era model effectively.
Because AI is only as powerful as the people who use it.
Ready to ensure your AI is building loyalty and driving measurable value?
Watch the full Scoop with TP episode featuring Mamta Rodrigues and Ruchi Gupta!
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.