The Agentic Enterprise Is Here: Why Salesforce Is Rewriting the Operating Model

Salesforce has made a fundamental shift — and it’s bigger than CRM, clouds, or copilots. 

Salesforce is repositioning itself as an AI-first operating system for the enterprise, built around Agentforce, real-time data, and embedded automation. This shift marks the rise of the Agentic Enterprise — a new operating model where intelligent agents actively orchestrate work across sales, service, marketing, operations, and IT. 

Join iLink Digital for an executive-level conversation that breaks down what this shift really means. This is not a product demo. It’s a strategic discussion on how work gets done in the next generation of digital enterprises — and why incremental AI pilots and disconnected automation efforts are already falling behind. 

Why This Session Matters 

Many organizations are experimenting with AI. Very few are prepared to operationalize it at scale. 

Salesforce’s move to Agentforce 360 signals a broader industry transition — away from static workflows and manual decision-making, toward systems where intelligent agents continuously coordinate actions across the enterprise. Leaders who treat this as “just another platform upgrade” risk missing the real change: AI is becoming the operating layer, not a feature. 

This session helps executives understand what’s changing — and what needs to change internally to keep pace. 

What You’ll Learn 

• What Salesforce means by the Agentic Enterprise — and why it’s more than AI add-ons
• Why traditional operating models break down in an agent-driven world
  • How Agentforce, Data Cloud, and Slack are forming a new enterprise control layer
• The difference between copilots, automation, and true agentic workflows
• Where most organizations are unprepared — and why that matters now 

Who Should Attend 

CIOs, CTOs, CDOs, COOs, business unit leaders, digital transformation and enterprise architecture leaders, Salesforce executive sponsors, platform owners, program owners, Life Sciences IT leaders, and leaders accountable for scaling AI beyond experimentation.