Dreamforce 2025: five strategic takeaways for the enterprise

At Dreamforce 2025, Salesforce reinforced its vision for the Agentic Enterprise, emphasising how AI agents, data unity and human-agent collaboration will reshape CRM, digital transformation and enterprise software. Below are five strategic takeaways that business leaders and transformation-practitioners should absorb.

Published on 20/11/2025

Customer Experience

Events

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1. The agentic enterprise becomes reality

Salesforce positioned this year’s conference around the concept of the Agentic Enterprise, where intelligent agents don’t just assist humans, but actively collaborate and act. According to the official summary:

“We’re entering this new agentic AI revolution.” 

What it means for CRM and enterprise software

Practical implications:

  • Agents built on Salesforce’s platform (such as the new Agentforce 360) unify workflows across Sales, Service, Marketing, Commerce and Slack.
  • For organisations: the shift is from “help me” to “agents act for me” – requiring new mindset, governance and data frameworks.

2. Data & trust are non-negotiable

One recurring theme: agents will only perform if underlying data is unified, clean and governed. From Salesforce’s “Five Takeaways”:

“At the start of your company’s agentic journey, the data can be a little dirty.”

Why data foundation matters for Salesforce AI

Key observations:

  • Enterprises often feel their data is messy. The session with Andrew Ng emphasised “instead of pre-emptively cleaning data … just get started on the application and then let that pull your data architecture forward.”
  • Trust, governance and observability of agents and data are highlighted repeatedly. 
  • For transformation leaders: assessing and improving your data-foundation must be parallel to your agentic workflows.

3. Platform & ecosystem orchestration matter

Dreamforce showed that Salesforce isn’t simply releasing isolated features; it’s evolving its platform ecosystem to enable cross-cloud, multi-agent, multi-modal workflows. Highlights:

  • Integration across Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud and Slack.
  • Partnerships with external AI model providers and standardisation (for example, third-party model support via agents).
  • The message: systems-of-record, systems-of-engagement and AI agents must converge.

Implications for digital transformation & CX

For you in the role of Customer Experience & Brand Director, this means: architecture matters, stakeholder alignment matters and reuse across regions/functions matters.

4. Speed + agility over perfection

A clear message from the show: get started quickly, rather than waiting for perfect conditions.

  • The statement about data being “a little dirty” underscores that waiting for perfect data stores can delay value. 
  • Several commentary pieces flagged that while the announcements are evolutionary, not just revolutionary, the path to adoption is becoming clearer.
  • For business leaders: design pilots that are pragmatic, measurable and scalable, rather than massive monolithic programs.

Pilot & scale mindset

Action: Identify a small high-impact use case first, refine it, measure it, then scale across the organisation.

5. Every business, not just large enterprises can become agentic

Another important takeaway: the agentic future is not reserved only for big firms.

  • One post noted:

“Agentic Enterprises don’t have to be enterprises at all.” 

  • For SMBs: agility can be a competitive advantage; for large firms: orchestration and scale matter.
  • This is relevant for you working across Asia: regional firms and large multinationals alike need to consider how agents, data and process orchestration apply locally.

H3: Implications for APAC and global rollout

Focus: localisation, multi-lingual support, multi-regional data governance and multi-cloud operations.

Implications for Asia-Pacific leaders

Given your context (working on digital transformation, global campaigns, brand positioning, etc.), here are suggested next steps:

  • Assess readiness: Evaluate your organisation’s data maturity, governance model and existing automation maturity.
  • Pilot agentic workflows: Identify 1-2 “high-value, repeatable” processes that could benefit from intelligent agents and start lean.
  • Align cross-functionally: Ensure Sales, Service, Marketing, Commerce teams are aligned on workflows and reuse rather than silos.
  • Embed governance: Define guardrails, observability and accountability for agentic behaviours not just humans.
  • Communicate the vision: Use the narrative of “humans + agents” to position your transformation internally and in campaigns, aligning with your theme of productivity, innovation and competitiveness.

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