

Adobe has officially announced the general availability of its AI Agents and Agent Orchestrator, marking a significant step in automating customer experience and enterprise workflows. The move, part of Adobe’s broader push into generative and agentic AI, positions the company to compete directly with other enterprise platforms embedding automation into daily business processes.
The AI Agents are designed to autonomously execute tasks such as answering customer queries, managing campaigns, and supporting internal workflows. The Agent Orchestrator acts as a coordination layer, ensuring these agents can work together across different systems and channels. By enabling multiple agents to operate in tandem, Adobe is aiming to solve one of the long-standing challenges of AI adoption: connecting fragmented tools into a single, intelligent workflow.
Executives at Adobe noted that the tools are already being deployed across sectors like retail, financial services, healthcare, and media. In retail, AI Agents are being used to handle high-volume queries around inventory and delivery, while financial services firms are using them for compliance checks and onboarding. In healthcare, automation is assisting with patient communication and document management, freeing up staff to focus on more specialized care.
For marketers, the integration into Adobe Experience Cloud means campaigns can now be designed, executed, and optimized with minimal manual intervention. The company highlighted how the orchestrator can coordinate email campaigns, push notifications, and digital ads in real time, adapting content based on customer responses and engagement. This ability to automate end-to-end workflows could make personalization at scale more practical for businesses under pressure to improve ROI.
The announcement comes at a time when enterprises are racing to adopt agentic AI. Salesforce has introduced its own Agentforce offering, ServiceNow is embedding agent capabilities into IT service management, and startups are flooding the market with specialized AI assistants. Adobe’s advantage lies in its large ecosystem of creative and marketing tools, which the company is now connecting with autonomous AI layers.
Industry experts have pointed out both opportunities and challenges. On the one hand, agentic AI promises higher efficiency, reduced costs, and faster response times. On the other, there are concerns around data governance, ethical usage, and cultural adaptation. Analysts note that many enterprises still lack the readiness to deploy such tools effectively, with integration and employee training emerging as recurring hurdles.
Shantanu Narayen, Adobe’s CEO, emphasized that the launch is about moving from experimentation to adoption. He stated that customers are no longer just testing AI capabilities in isolated pilots but embedding them into core business operations. Adobe says the orchestrator was specifically designed to ensure human oversight, allowing teams to set guardrails on what tasks agents can perform and when human intervention is required.
The announcement also reflects a broader trend toward what analysts describe as “AI-first workflows.” Rather than relying on traditional automation scripts or manual campaign adjustments, companies are increasingly handing control to AI systems capable of planning, deciding, and acting in real time. According to IDC, over 70 percent of global enterprises are expected to deploy AI agents in some form by 2027, suggesting Adobe’s move is aligned with where the market is heading.
In India, enterprises have already begun piloting Adobe’s AI Agents through local partners, particularly in e-commerce and BFSI sectors. With a growing focus on personalization and efficiency, Indian marketers are expected to play a key role in testing how agentic AI adapts to high-volume, multilingual customer interactions.
The general availability of Adobe’s AI Agents and Orchestrator underscores the company’s intent to make AI the backbone of customer experience management. As competition intensifies, the real test will be whether enterprises can balance automation with trust, cultural nuance, and human creativity.