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MARCIEAssist is Messagepoint’s agentic AI capability that fundamentally transforms how customer communications work gets done. Users simply describe what they need, and MARCIEAssist intelligently plans and executes supported actions across the system — while keeping users fully in control.
Users interact with MARCIEAssist through a modern chat interface using natural language requests and voice commands. It interprets intent, seeks clarification when needed, and explains actions before execution.
MARCIEAssist accelerates content by intelligently automating key tasks, including:
The result: faster updates, less manual effort, and easier access for business users.
MARCIEAssist operates within strict governance boundaries aligned to user roles, permissions, data access, and defined system actions. It never has access to PII, does not perform unauthorized actions, and provides guidance when a request falls outside its approved boundaries. These guardrails prevent unintended changes, support security and privacy requirements, and ensure trust in AI-assisted workflows.
Every action MARCIEAssist takes is fully visible, traceable and reversible.
Users can review detailed audit trails to see exactly what MARCIEAssist has done in the system, and rollback changes or restore previous versions of content and rules at any time.
MARCIEAssist provides contextual guidance and insights as users work—helping them understand how to complete tasks and what impact changes may have. This reduces manual investigation, accelerates impact analysis, reinforces system learning, and helps users make changes more confidently.
Agentic AI in customer communications management (CCM) is a type of artificial intelligence that can understand user requests and intent, plan tasks, and execute actions within the CCM platform to manage communications automatically.
Unlike generative AI tools that only generate content or provide suggestions, or traditional AI that accelerates work like analysis, agentic AI can take on the work of creating, updating, and managing customer communications across content, rules, data, and templates. Users simply describe what they want to accomplish, and the agentic framework plans, problem solves, orchestrates and governs the work of a team of AI agents to accomplish the defined outcome or goal.
In CCM, this enables organizations to move from manual, task-based processes to automated, intelligent communications workflows.
Agentic AI in CCM is different from traditional AI because it can take action, not just provide assistance.
Traditional AI and AI assistants help users by generating content, suggesting edits, and answering how-to questions. However, users still need to manually perform the work.
Agentic AI goes further by:
This shift from assistive AI to action-oriented AI enables faster execution, reduced manual effort, and more efficient customer communications management.
AI automates customer communications management by handling the repetitive and complex tasks required to create, update, and manage communications.
In CCM, AI can automate:
With agentic AI, automation becomes more advanced. Instead of completing tasks one step at a time, the system can coordinate and execute multiple actions from a single request, significantly improving efficiency and reducing time to complete communications work.
AI can be safe and compliant for customer communications management when it is designed with governance, control, and transparency.
Key capabilities that support compliance include:
With these safeguards, organizations can use AI in CCM to improve efficiency while maintaining accuracy, compliance, and control.
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