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From Single Agent to Collaborative Ecosystems: Designing Multi-Agent AI for Autonomous Customer Engagement in MarTech

Ashwaray Chaba

Managing Principal Enterprise Architect, Adobe Inc, USA

Abstract

The current paper suggests an architecture of a multi-agent AI that can be used to improve autonomic engagement of the customers through the marketing technology (MarTech) environments. On top of single-agent systems, our architecture allows us to dynamically coordinate among specialized agents that work in the area of CRM, personalization, analytics and content delivery. The system has achieved large engagement, conversion, personalization and campaign performance gains through real- world pilot deployments in a range of industries. IG, agent orchestration, sharing its knowledge among agents, and real-time adaptability to changes are the key characteristics of the approach. The effectiveness and scalability of the model are confirmed by quantitative outcome and qualitative feedback. Given the cooperative AI agents, this study lays a conceptual plan of goal-driven and intelligent MarTech systems

Article Information

Journal

International Journal of Science, Research and Technology

Volume (Issue)

Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT)

DOI

https://doi.org/10.15662/nv7jt039

Pages

14664-14668

Published

July 18, 2025
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Ashwaray Chaba (%2025). From Single Agent to Collaborative Ecosystems: Designing Multi-Agent AI for Autonomous Customer Engagement in MarTech. International Journal of Science, Research and Technology , Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 14664-14668. https://doi.org/10.15662/nv7jt039

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