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Adobe puts its marketing AI agent inside ChatGPT, Claude and other chat tools

Adobe's CX Enterprise Coworker now runs inside the AI platforms marketers already use, a sign that agents are moving into chat apps.

Sixty percentof media and advertising firms using AI for tasks like call analysis (PYMNTS report)

The short version

Why it matters

If you work in marketing, the AI agent you use may soon live in the chat tool you already open every day, not in a separate Adobe app. That makes the question of who controls access, data and cost a practical one for your team. It also shows where software vendors think customers will spend their time: inside a handful of general-purpose AI platforms.

What Adobe announced

Adobe has made an AI agent for marketers, called CX Enterprise Coworker, available inside several of the biggest AI platforms. As PYMNTS.com reported, the list is ChatGPT, Claude, Databricks Genie, Gemini for business and Microsoft Copilot. Adobe says Amazon Quick, IBM and Snowflake are expected to be added soon.

An "agent" here means an AI system that does tasks for you, not just one that answers questions. Adobe calls this one an agentic teammate. According to the release, it handles data analysis and insights, audience forecasting, customer-journey optimization, and planning, product and work management.

The headline mentions only ChatGPT and Claude, but Adobe's own list also includes Gemini for business. So this is not a two-platform deal.

Bringing the agent to where people work

The main idea is distribution. Instead of asking marketers to log in to yet another tool, Adobe is placing its agent inside the AI platforms they have already chosen. The release says this lets marketing professionals use the tool within the agentic AI platform of their choice.

Anjul Bhambhri, Adobe's senior vice president of engineering for customer experience orchestration, framed the problem this way: marketers "use AI tools in isolation." Adobe says its agent ties those tools and workflows together using what it calls brand, customer and channel intelligence.

The source does not say how that intelligence is built or how well it works in practice. It also does not give pricing or say whether the agent is included in existing Adobe licences.

Connectors that skip custom setup

Adobe also launched new connectors for the agent. They use the Model Context Protocol, or MCP, a common way for AI agents to plug into other software. Adobe says these are prebuilt, so marketers can connect to partner systems without custom integration work.

The connectors cover several areas:

For a marketing team, the practical meaning is that the agent can work with data and ad accounts held in other systems, not only inside Adobe's. The source does not describe what the agent is allowed to change in those systems, so permissions are a question to ask.

Consultancies and the road so far

Adobe says it is working with global systems integrators, the large consulting and technology services firms that set up software for big companies. The named firms are Accenture, Capgemini, Cognizant, Deloitte Digital, EY, IBM, Infosys, PwC and TCS. Their job is to build agent solutions tailored to specific industries.

This follows earlier steps. PYMNTS notes that Adobe executives said in December they expected growth to be driven partly by quick adoption of its AI-powered tools. In April, Adobe said it was adding an agentic AI system, an AI-powered coworker and wider collaborations with AI platforms to its marketing products.

For wider context, PYMNTS cites its own Intelligence report. It found that sixty percent of firms in media and advertising have adopted AI for tasks such as executive briefing preparation, quality assurance, call analysis, and returns and reverse-logistics optimization. That figure describes the sector in general and does not measure Adobe's product.

What to take from it

The announcement is a vendor's release, relayed by one outlet, so claims about better business outcomes are Adobe's own. Nothing in the source offers independent results, customer names or cost.

The pattern is still worth noting. Software companies are increasingly packaging their expertise as agents that sit inside a few general AI platforms. That may reduce the number of separate logins a marketer needs. It may also concentrate more of a team's work, and data, inside those platforms.

What to watch

Try it

If your team already uses Adobe tools, ask your admin whether your current licence covers CX Enterprise Coworker, and who is allowed to connect it to your AI platform.

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First reported by PYMNTS.com · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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