The news: Dentsu launched dentsu.Connect 4.0, an agentic AI operating system where autonomous agents orchestrate workflows, surface real-time insights, and improve decision-making across the entire marketing lifecycle, the company stated in a press release.

Built on custom small language models and frontier models like Google’s Gemini and Meta’s Llama, dentsu.Connect 4.0 links media planning, strategy, and audience-building in a centralized architecture.

“What makes this distinctly Dentsu is that our craft, cultural instinct, and people intelligence are built directly into how the platform continues to learn and grow with our experts,” said Shirli Zelcer, global chief data and technology officer at Dentsu.

Why it’s worth watching: 96% of global CMOs report that AI drives end-to-end marketing transformation, but only 32% are actually deploying agents across workflows, per a survey from Boston Consulting Group (BCG).

Nearly half (42%) are still using genAI as a task-level assistant and are running pilots that haven’t scaled. Dentsu.Connect 4.0 arrives at this inflection point as a ready-made operating system for clients that haven’t built their own.

Dentsu.Connect 4.0's interoperability gives clients a bridge into existing martech stacks without forced replacement—a critical advantage when 43% of CMOs report they’re spending over $15 million this year on marketing, per BCG. That number was just 28% last year.

Implications for brands: Dentsu’s evolution from chatbots to autonomous workflow orchestration reflects an industry shift toward AI systems that plan, execute, and optimize across the full marketing lifecycle. For CMOs, the next step is determining which partner can deliver AI solutions without disrupting existing operations, data governance, or martech investments.

Brands should start with a single workflow—media planning or audience-building offer the lowest-risk entry point. Insist on interoperability to protect martech investments, and keep business and client data in your own cloud environment.

Treat the platform as augmentation rather than replacement, and redeploy freed-up time to higher-order strategy oversight.

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