Rohan Kumar

President & Chief Platform and Engineering Officer, Salesforce

[Rohan Kumar @RohanKData]

https://t.co/4wwxklaqs1

[Rohan Kumar @RohanKData]

What CIOs were really talking about at Dreamforce. https://t.co/cVY9n3j2Q3 via @CIOdive

[Rohan Kumar @RohanKData]

I just wrapped up a week in Madrid and London meeting with customers and our local field leaders.

The week started with the opening of Salesforce Tower Madrid. It was great to share that moment with Miguel Milano, Robin Washington, Marco Hernansanz, Natalia Escobedo, and Relina Bulchandani.

Miguel and I also hosted a dinner with 30 customers and partners from across the Spanish ecosystem. It was especially valuable to hear what is top of mind for some of the most advanced adopters of AI.

Across these conversations, two questions kept coming up. I believe they are strategically connected:
1. What happens as personal agents enter the enterprise?
2. What is the value of a Headless Salesforce Platform when I can expose Salesforce APIs as tools through my own MCP server?

These may sound like two different questions. I believe they point to the same architectural shift.

The answer to the second question is, you can and we should expect customers and partners to do exactly that. Salesforce user licenses already include generous API capacity. Basic, governed, agent access to Salesforce APIs should be a natural extension of that value. We should not create a new toll simply because an agent, rather than a traditional application, is making the API call.

But exposing APIs as MCP tools solves connectivity. It does not solve enterprise agency. The differentiated value lies in what happens behind the connection. Establishing agent identity and delegated authority, protecting data, providing trusted context, governing actions, applying specialized reasoning, learning from outcomes, and managing the entire enterprise estate through a common control plane.

Connectivity should be open and generous. Trust, intelligence, learning, and governance are where the differentiated enterprise value begins.

The enterprise cannot assume that it will control which agent wins or that it can simply block the agents employees choose. It needs an open interface for any agent and a trusted architecture behind it.

https://t.co/HtpQcEqoM4

[Marc Benioff @Benioff]

Congrats @braze @billmag!
Welcome to the Ohana. ❤️

[Salesforce @salesforce]

We have signed a definitive agreement to acquire Loops, an AI-powered analytics platform.

Loops’s AI goes beyond showing what happened — explaining why it happened and what to do next.

Together, we’ll help customers better understand what drives business performance and move from insight to action.

Learn more: https://t.co/ZfcOkJ1vrx

[Rohan Kumar @RohanKData]

I recently sat down with Ksenia from Turing Post TV to talk about what I believe is one of the biggest challenges and opportunities as enterprises move from experimenting with AI to deploying agents at scale.

The model is only one part of the equation. For agents to do real work inside an enterprise, they need trusted context, the right identity and permissions, access to business logic and actions, strong security and governance, and the ability to use the right model for the right outcome at the right price/performance.

Most AI harnesses focus only on the agent. Salesforce’s Enterprise AI Harness focuses on making the entire enterprise ready for all agents, providing the trusted context, models, agency, actions, security, governance, and control that any agent needs to do real work.

But there is an even deeper challenge. Much of what makes a business actually work has never been fully captured in software.

The reasoning behind a decision. The context shared in a meeting or 1:1. Why an exception was made. The tradeoffs a team considered. Much of this critical business context lives across conversations, in the minds of a few key people, and other unstructured forums, rather than being captured in a structured, reusable form.

Closing that gap and turning this institutional knowledge into trusted enterprise context that agents can reason over may be one of the most important problems we have to solve.

We covered this and much more. Agent identity, security, model routing, context, economics, what it takes to move agents from interesting pilots to meaningful production systems, and even some advice for students and people early in their careers navigating this extraordinary period of change.

Thank you, Ksenia, for the thoughtful conversation.

Watch the interview here: https://t.co/kGlADgdbR9

One recommendation: watch it at 1.25x speed.

[Marc Benioff @Benioff]

Welcome to the Ohana @ListenLabs @itsalfredw @florian_jue! ❤️

[Marc Benioff @Benioff]

Welcome @HMRCgovuk. ❤️🇬🇧

[Rohan Kumar @RohanKData]

Dubbed Koa, the new model is designed to power sales and service agents. https://t.co/LQOG8qpVpS

[Marc Benioff @Benioff]

Claude just unblocked a deal stuck in Salesforce for 11 days. Live at #DF26. No slides. Real pipeline.
In seconds, it:
• Scanned the Slack thread
• Checked the security review
• Cross-referenced pricing history
• Executed the next step under standard seller permissions That’s Claudeforce. Not AI bolted onto CRM. Claude executing inside the system the business already trusts.
Trust first. Now it acts. ❤️💪

[Rohan Kumar @RohanKData]

Salesforce debuts Koa, a specialized model built to reason about CRM data

https://t.co/NXUUBhOfsR

[Rohan Kumar @RohanKData]

At Dreamforce, we introduced Koa, Salesforce’s first CRM reasoning model, built on NVIDIA Nemotron.

AI is getting smarter at an extraordinary pace. But the Agentic Enterprise needs more than intelligence. It needs AI that understands how businesses actually work, their context, workflows, policies, tools, and decisions.

That’s why we built Koa.

Koa brings nearly three decades of Salesforce CRM expertise into a purpose-built reasoning model for Agentforce. It is post-trained entirely on synthetic data across the customer lifecycle, runs inside the Salesforce trust boundary, and uses no customer data for training.

And we’re already seeing what specialized intelligence can unlock: greater precision, reliability, and context retention across complex CRM tasks.

Koa isn’t about one model replacing every other model. I believe the future is much more exciting than that.

The future of enterprise AI is open, with the right model for the right job, surrounded by trusted context, actions, security, and control.

Koa is an important step toward that future.

A huge thank you to our teams at Salesforce and NVIDIA for bringing it to life. I can’t wait to see what our customers build with it.

https://t.co/pXl2GoQSKA

[Salesforce @salesforce]

Meet Koa, built on @NVIDIA Nemotron

Salesforce’s first CRM reasoning model for Agentforce just made its @Dreamforce debut.

→ Built with 27 years of Salesforce CRM intelligence
→ Designed for complex, multi-step CRM work
→ Matches or exceeds leading model performance on CRM actions with 3x fewer errors

🚀 Now in pilot

[Salesforce @salesforce]

2M service calls. 30% resolved by AI agents.

The Adecco Group shows how at @Dreamforce:
→ Agentforce Voice + Service handle the call
→ Data 360 connects the context
→ Agent Fabric + Informatica route the work

Humans step in with judgement, empathy and care

[Salesforce @salesforce]

Meet Koa, built on @NVIDIA Nemotron

Salesforce’s first CRM reasoning model for Agentforce just made its @Dreamforce debut.

→ Built with 27 years of Salesforce CRM intelligence
→ Designed for complex, multi-step CRM work
→ Matches or exceeds leading model performance on CRM actions with 3x fewer errors

🚀 Now in pilot

[Marc Benioff @Benioff]

Welcome Salesforce Koa powered by Nvidia Nemotron! ❤️🦮

[Salesforce @salesforce]

🔴 LIVE: The Enterprise AI Harness for the Agentic Enterprise Keynote at @Dreamforce

President & Chief Platform and Engineering Officer, @RohanKData shows who how trusted context, action, governance, security, and AI control come together across your business https://t.co/YtOEDBJ1Zf

[Marc Benioff @Benioff]

14 years. $156M for Bay Area public schools. >$1B+ invested in our SF hometown from Salesforce Ohana. Today, we’re putting another $27M to work—with $18M straight to our public schools in SF, Oakland, NYC, Chicago & Indy. The impact:
• CS for 130,000+ Bay Area students
• Math scores rising in Oakland & SF
• Teachers & kids ready for AI
• Students at #Dreamforce learning from our Ohana
Business is the greatest platform for change. 1-1-1 was Day One—and we’re just getting started.  Proud of our @Salesforce family. ❤️
https://t.co/llSHUgGQQE

[Marc Benioff @Benioff]

Welcome Dreamforce! #DF26 14 years. $156M for Bay Area public schools. >$1B+ invested in our SF hometown from Salesforce Ohana. Today, we’re putting another $27M to work—with $18M straight to our public schools in SF, Oakland, NYC, Chicago & Indy. The impact:
• CS for 130,000+ Bay Area students
• Math scores rising in Oakland & SF
• Teachers & kids ready for AI
• Students at #Dreamforce learning from our Ohana
Business is the greatest platform for change. 1-1-1 was Day One—and we’re just getting started.  Proud of our @Salesforce family. ❤️

[Salesforce @salesforce]

Introducing AIforce

The full power of Salesforce. Any AI interface.

AIforce is the live interface layer for the Agentic Enterprise — bringing your data, workflows, business logic, permissions, security, and governance wherever people and agents work

Launching with Claudeforce, Slackforce, and Agentforce Coworker

Salesforce comes to you. See what that unlocks: https://t.co/wQfk9gXsNs

[Salesforce @salesforce]

AI is everywhere. ROI? That’s the harder question.

@chamath, founder of @SocialCapital and host of @AllInPod, joins @RohanKData at @Dreamforce to unpack the future of tech — and what it really takes to scale enterprise AI.

Save your seat, free on Salesforce+: https://t.co/LGB6Okr26s