From automation to autonomous workflows: AI is changing how advertising teams operate

Artificial intelligence is changing how advertising businesses manage campaign workflows. While earlier automation tools focused on repetitive tasks such as data entry and reporting, newer systems are being designed to interpret requests, coordinate multiple steps and take actions across advertising platforms.

The shift is reflected in industry research. The IAB’s State of Data 2025 report examines how AI is changing the media campaign lifecycle, including planning, activation and analysis. The report identifies agentic AI as a development that could reshape how agencies, brands, platforms and publishers work together.

However, adoption also raises questions about governance and accountability. The IAB Europe Impact of AI on Digital Advertising report found that 85% of surveyed companies were using AI-based tools for marketing purposes, while only 43% had developed internal marketing-specific AI guidelines. The findings highlight the need to balance automation with clear oversight.

Top agentic AI platforms for advertising operations

Agentic AI platforms for advertising operations use AI agents to perform or coordinate tasks across the advertising lifecycle. Depending on their design, these systems can interpret campaign briefs, check inventory, prepare proposals, support campaign execution and assist with billing or optimization. Unlike conventional automation, agents can work toward defined outcomes while responding to changing information and business rules.

ADvendio is developing an agentic advertising platform designed to coordinate workflows across media sales, inventory, campaign management and finance. Its Agentic Advertising Platform uses specialized agents to support different stages of the advertising lifecycle.

The platform includes a Seller Agent that interprets campaign briefs, an Inventory Agent that checks availability across channels, and a Proposal Agent that prepares campaign proposals for review. Other agents support targeting, campaign optimization, invoicing and month-end reconciliation.

ADvendio also describes a human-in-the-loop approach. Agents can prepare recommendations and execute operational tasks, while people retain approval authority over important decisions, including campaign approvals and certain commercial exceptions. This distinction is relevant in advertising environments where pricing, budgets and contractual commitments require accountability.

The company’s AdOne platform connects these agent-based workflows with its advertising management and revenue operations capabilities. ADvendio also references the Ad Context Protocol (AdCP), an industry framework intended to facilitate communication between agents across the advertising ecosystem.

For companies evaluating agentic AI platforms for advertising operations, the main considerations include the range of workflows agents can handle, their access to reliable campaign and inventory data, integration with existing systems, and the controls available for human review. The ability to execute tasks is only one part of the assessment; governance and traceability are equally important.