As artificial intelligence continues to move from experimentation to enterprise deployment, Indian martech firm MoEngage is making a bold prediction about the future of marketing: it will be powered not by a handful of AI tools, but by millions of autonomous AI agents working across customer journeys.
The company is positioning agentic AI as the next major shift in customer engagement, arguing that marketing teams will increasingly rely on specialised AI agents capable of making decisions, executing workflows and optimising customer experiences with minimal human intervention. The move reflects a broader trend across the technology industry as businesses look beyond generative AI chatbots and toward systems that can independently perform tasks and achieve outcomes.
MoEngage's vision comes at a time when enterprises are facing growing complexity in managing customer interactions across channels. Marketers today operate across email, push notifications, SMS, in-app messaging, websites and social platforms while also handling growing volumes of customer data. The challenge is no longer a lack of information, but the ability to act on it quickly and effectively.
The company believes AI agents can help solve that problem. Unlike traditional automation tools that follow predefined rules, agentic systems are designed to analyse context, make decisions and continuously optimise actions based on changing customer behaviour. This approach could fundamentally alter how marketing teams operate, shifting focus from manual campaign execution to supervising AI-driven systems.
Earlier this month, MoEngage introduced Merlin AI Custom Agents, allowing brands to create workflow-specific AI agents that operate using company data and marketer-defined guardrails. The platform enables marketing teams to monitor how agents make decisions, what data they use and which actions they take across customer touchpoints.
The emphasis on transparency is notable. One of the concerns surrounding AI adoption in marketing has been the "black box" nature of many AI systems, where marketers receive outputs without visibility into how decisions were made. MoEngage argues that marketers need control and accountability if autonomous systems are to be trusted with customer interactions at scale.
The company's AI roadmap also reflects a wider shift in enterprise technology. Increasingly, organisations are seeking AI systems that can coordinate across platforms rather than operate in isolation. MoEngage has opened its platform through Model Context Protocol integrations, allowing its AI agents to interact with external AI systems and enterprise tools.
Industry observers see agentic AI as a potential evolution of the marketing technology stack. For years, marketers have relied on software platforms for analytics, customer relationship management, personalisation and campaign orchestration. AI agents could increasingly act as an operational layer above those systems, helping organisations execute strategies faster while reducing manual effort.
The company is also strengthening its AI capabilities through acquisitions. Recently, MoEngage acquired San Francisco-based startup Aampe, a company known for building autonomous AI agents focused on personalised customer engagement. The acquisition marked MoEngage's first deal and signalled its intention to deepen investments in AI-led marketing technologies.
For marketers, the rise of AI agents raises important questions around governance, accuracy and customer trust. While automation promises efficiency, businesses will still need human oversight to ensure AI systems align with brand values, regulatory requirements and consumer expectations.
Yet the momentum behind agentic AI continues to build. As brands search for ways to deliver more personalised experiences across an expanding number of touchpoints, autonomous systems are increasingly being viewed as a practical solution rather than a futuristic concept.
For MoEngage, that future is arriving faster than many marketers expected. The company's bet is that AI agents will not simply support marketing teams. They will become a core part of how modern marketing operates, helping brands move from automation to autonomy in the years ahead.