Adobe expands AI partnerships and agent workflows across marketing stack
Adobe is extending generative AI across creative production and enterprise marketing, combining models from Google, custom models developed with Disney, and workflow coordination through its CX Enterprise Coworker. The announcements span content creation, document tools and campaign operations, while a broader set of industry releases this week brought AI features to media planning, customer feedback, campaign management and marketing asset governance.
Under its Google partnership, Google’s latest image and video models are coming to Adobe Firefly, Photoshop, Premiere and Express. Gemini models will help power Acrobat. Adobe tools, in turn, will be available within Google Workspace, Gemini, Gemini Enterprise and AI Mode in Search. The announcement connects the companies’ products across both creative work and document-based tasks, without indicating that the tools or models are exclusive to either company.
Disney plans to use Adobe Firefly Foundry to build proprietary generative AI models trained on its own characters, environments and visual styles. The models are intended for work across Imagineering, StudioLAB and ESPN. The collaboration represents a different approach from adopting an outside model alone: Disney will develop models using its own creative material, while using Adobe’s Firefly Foundry offering.
Adobe is also bringing CX Enterprise Coworker into GenStudio, its marketing platform. The conversational system can draw context from Adobe and third-party applications, evaluate audiences, create campaign briefs, generate asset variations and apply brand standards through Adobe Brand Intelligence. The capabilities position the coworker as a coordinator across planning, content creation and activation, rather than solely as a tool for generating creative assets.
AI moves into campaign operations and governance
Other announcements dated November 11 illustrate how vendors are applying AI to specific steps in marketing operations. AI Digital introduced Ellie, an agent for media planning and campaign analysis. It audits plans across digital channels, monitors delivery performance in real time and identifies budget allocation adjustments intended to meet a target return on ad spend. The announcement describes recommendations and analysis; it does not say that Ellie automatically makes those budget changes.
Supermetrics, by contrast, introduced Campaign Management to execute advertising changes through conversational AI chats and its analytics dashboard. The product connects cross-channel performance metrics to large language models, uses monitoring alerts to identify performance issues, and can update budgets, bids and targeting across seven ad networks with user approval.
NinjaCat’s Enterprise Marketing AGI is aimed at governing and running campaigns across enterprise accounts. The platform connects siloed marketing data in a centralized system of record, checks proposed agent actions against corporate brand and budget rules, and executes campaign adjustments across ad networks. These products address a shared operational challenge—making AI-assisted action compatible with existing controls—but their stated functions differ in how they handle execution and oversight.
Several launches focused on preserving data control or establishing trust in marketing assets. Optimove’s Zero Copy Customer Lists builds audiences inside Snowflake data warehouses by running SQL queries there and returning qualifying customer identifiers to the marketing interface. The company says the approach avoids transferring sensitive customer data to external marketing servers.
Globaledit introduced Provenance Suite within its Brand Protection System. The product uses the C2PA metadata standard to record asset origin and modification history. It reads C2PA manifests when media is uploaded, indicates whether files include AI-generated or AI-edited components, and lets users filter files by verified compliance status. The feature makes content provenance a workflow consideration alongside asset creation and campaign use.
More applications for customer and audience signals
Alchemer Voice applies conversational analysis to recorded sales calls, support tickets and contact-center interactions. It clusters customer sentiment, identifies emerging operational issues and answers user questions about churn risks. First Insight, meanwhile, added an MCP server and Storylines visual reporting tool to its predictive consumer intelligence platform. Its server makes purchase-intent data and predictive pricing ratings available to external AI assistants, while Storylines organizes consumer test feedback into presentation slides and spreadsheets for retail assortment reviews.
In a separate customer-service development, Five9 agreed to acquire Level AI for approximately $325 million. The planned acquisition would bring Level AI’s conversational AI applications into Five9’s cloud contact-center platform. The technology uses speech and text models to analyze calls, automate interactions across voice and digital channels, and provide agents with real-time conversation guidance.
Together, the announcements show AI being added at multiple points in the marketing supply chain: producing and adapting content, interpreting customer signals, planning media and carrying out campaign changes. Adobe’s partnerships and coworker expansion bring those capabilities together across its own ecosystem and external services, while the other releases underscore the importance vendors are placing on data access, approval rules and asset provenance as AI tools take on more operational work.
