Integral Ad Science Launches AI Assistant to Simplify Campaign Management
- IAS introduces AI-powered assistant for faster campaign setup
- Tool provides transparency behind AI-driven recommendations
- Early tests show efficiency gains in workflow and performance insights
Integral Ad Science (IAS) has unveiled IAS Agent, an AI-powered assistant designed to help marketers set up campaigns faster, gain actionable insights, and streamline optimization across digital channels. The tool is integrated within the IAS user interface and leverages an 'explainable AI' framework, allowing users to understand the rationale behind recommendations, adjust suggestions, and retain control over campaign decisions.
Built on over 15 years of proprietary data, IAS Agent supports key functions including brand safety settings, campaign analysis, and workflow simplification. Early testing indicated notable improvements in operational efficiency, especially in reducing the time required for campaign setup and performance evaluation.
The assistant highlights trends and performance signals across dashboards, enabling marketers to quickly identify effective strategies without manual analysis. Its conversational interface allows users to interact using natural language during pre-campaign planning, further simplifying the process.
IAS plans to showcase IAS Agent at CES 2026 and roll it out globally to existing customers in early 2026 at no additional cost. The assistant is built on enterprise-grade infrastructure and aligns with IAS’s focus on responsible and governed AI use in advertising technology.
Also Read: OpenAI Rolls Out ChatGPT's First India-Focused Brand Campaign
Industry experts note that AI-driven tools like IAS Agent can help advertisers reduce inefficiencies, manage brand risk, and make data-driven decisions in a complex media landscape. IAS also plans to expand the assistant’s capabilities over time, including workflow automation and insights into supply paths.
The launch reflects IAS’s ongoing efforts to integrate AI into its measurement and verification services while maintaining transparency and control over automated decision-making.