Smarter workflows are reshaping the marketing playbook, streamlining execution, eliminating handoffs and accelerating time to impact. For Deloitte Consulting LLP, the goal isn’t just efficiency; it’s about reshaping how brands deliver customer outcomes at scale.

Deloitte’s Carrie McWilliams talks with theCUBE about agentic AI marketing.

Rather than automating tasks in isolation, Deloitte is using AI to rewire the entire marketing lifecycle. Digital agents are now embedded across workflows, enabling faster execution, reduced friction, and smarter collaboration, according to Carrie McWilliams (pictured), managing director at Deloitte Consulting.

“I think as we’ve had conversations with brands and with customers, we’re really starting to step back, look at the end-to-end marketing workflow and the key personas that exist across the marketing lifecycle,” she told theCUBE. “We look at opportunities to reduce any repetitive tasks [and] reduce handoffs in workflow so that we can increase speed to market for campaigns. That’s really the magic here: Being able to increase efficiency and leverage that digital labor to augment your existing team.”

McWilliams spoke with theCUBE’s Dave Vellante and George Gilbert at Dreamforce, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the future of marketing as one where AI-powered agents work alongside humans, transforming data into action and ideas into customer outcomes — at unprecedented speed and scale. (* Disclosure below.)

Reimagining marketing and customer outcomes with Agentforce

At the center of this shift is data. With access to real-time behavioral signals, web interactions and customer feedback, marketers now have the ability to turn insights into action instantly, according to McWilliams. By integrating these inputs into large language models and feeding them through Salesforce Data Cloud, personalization becomes dynamic and responsive at scale.

“There’s behavioral data, there are the interactions that you have on the website, there’s customer feedback,” McWilliams said. “And now with AI, you have the ability to process that data, feed that into an LLM and use that to change how you’re interacting in a real-time fashion.”

Salesforce’s agentic enterprise strategy connects marketing with sales, service and commerce through unified, trusted data. Marketing Cloud Next — also known as Agentforce Marketing — is built natively on Data Cloud to create a single, enriched customer profile. This foundation enables precision campaign activation across every channel, according to McWilliams.

“You can now leverage an agent frontend to help with a lot of those planning and analysis tasks, so that the marketer themselves can focus much more on the strategy,” she said. “And what they’re going to do is they’re going to take the outputs from the agent. And instead of having created themselves at the front end, you’re interacting with the agent.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Dreamforce:

(* Disclosure: TheCUBE is a paid media partner for Dreamforce. Neither Salesforce, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE