New Features

MaxAI operates as part of GenAI solutions of the HCL Unica+ suite of products.

Note: MaxAI is a dockerized solution, so you will need docker image on your system for accessing it.

The list of new features introduced in 25.1.1 release of HCL MaxAI are as follows:

Customer and Campaign Related Analytical questions
MaxAI can now answer Customer and Campaign Related Analytical questions.
Context Stabilization
Strengthened and stabilized MaxAI’s conversational intelligence by enabling deeper context.
Segmentation with unified or centralized data.
MaxAI Agentic Segmentation with unified or centralized data.
Terms of Use and Data Processing Agreement
Complies with data privacy and regulatory standards (for example GDPR, company data policy) by capturing explicit user consent before enabling GenAI features.
When a user logs in for the first time and clicks on MaxAI icon, a message related to Terms of Use and Data Processing Agreement appears.
MHS Support for MaxAI
Fetches and enforces entitlements (license periods) from the Unica Platform, so that access to MaxAI Assistant is granted only to licensed users and automatically restricted when entitlements expire.
Complies with licensing agreements by enforcing entitlement checks.
Prevents unauthorized use of MaxAI capabilities after license expiry.
Centralizes entitlement management in the Unica Platform for consistency across modules.
Reduces manual license monitoring, minimizing the risk of compliance breaches.
Enhanced Database Compatibility
MaxAI now supports Oracle, Microsoft SQL Server, PostgreSQL, and IBM DB2.
Support for German Locale
MaxAI introduced support for German locale (as on 25.1.1 release, MaxAI supports only English and German locale).

Points to Remember when using an AI-driven component

Because MaxAI incorporates advanced AI and GenAI technologies, users should be aware of the following behaviors and best practices:
  • Iterative Learning and Improvement: MaxAI leverages iterative improvements. Initial responses may vary in accuracy and relevance; both prompts and responses can refine over time based on user feedback and improved system tuning. Expect continuous enhancement, not day-one perfection.
  • Non-deterministic Outputs: MaxAI utilizes large language models (LLMs), which are inherently non-deterministic, identical queries may yield different responses across sessions or users.
  • Context-dependent Results: For analytical queries, MaxAI tries for accurate computation based on available data. However, how results are summarized or explained may vary depending on the retained context for the session.
  • Handling of Vague or Incomplete Queries: Ambiguous or incomplete questions may trigger clarification prompts from MaxAI, or result in less precise answers. Providing context-rich and specific queries improves outcomes.
  • Session Context and Continuity: Cross-context or unrelated queries within the same session may lead to confusion or errors in responses. For best results, keep queries within a logical context thread or start new sessions for unrelated topics.
  • Data Dependency and Accuracy: MaxAI relies on access to up-to-date, accurate, and complete data sources. If the underlying data or documentation is outdated, incomplete, or inconsistent, the AI’s responses and analytical outputs may be impacted even if the logic or query syntax is correct.
  • Explainability: MaxAIs documentation related responses sometimes include links to underlying documentation or data. That helps to review supporting details when available.
Note: MaxAI output is generated by GenAI or other automated technologies. Such content is provided for informational purposes only. We request you to verify the accuracy and completeness of the information before completely accepting it.