Welcome
User Guide
Appendix
How the System Responds to Errors
This topic explains how the system handles scenarios where it cannot generate a response due to incomplete or unclear inputs. It provides users with insights into fallback mechanisms, error messaging, and clarification requests.

HCL MaxAI Documentation
Release Notes
Deployment Guide
Administrator Guide
User Guide
- An Introduction to MaxAI
  MaxAI is an AI-driven offering introduced in 25.1.0 version of HCL Unica+. It is a part of the HCL Unica+ marketing platform.
- MaxAI Assistant
  MaxAI Assistant helps in real-time decisions and optimizations.
- MaxAI Content Generation
  MaxAI Content Generation enables a Marketer to effortlessly optimize the content of their emails in Unica Deliver and Rich Text Fields during Offer creation or Offer modification in Centralized Offer Management. With intelligent AI-driven suggestions, marketers can instantly refine their messaging for better clarity, tone, and impact ensuring that the core message resonates with their audience.
- MaxAI Email Scoring and Insights
  MaxAI Email Scoring and Insights enables a Marketer to improve their email content by scoring it based on various marketing-related parameters. With intelligent AI-driven suggestions, marketers can refine their email communication to make it a professional and high-impact marketing communication. This feature is applicable only for Unica Deliver.
- MaxAI Journey Insights
  Access actionable insights for Unica Journey. In just a few clicks, marketers can move from observation to action.
- MaxAI Reporting Insights
  MaxAI Reporting Insights provides AI-driven insights for contextual and actionable-analysis based on the selected chart or report. With the analysis, you can continue to the chat with the AI in MaxAI assistant, ask follow-up questions to receive appropriate responses enabling seamless exploration of trends, detection of anomalies, and data-driven recommendations.
- MaxAI Session Insights
  MaxAI also integrates with HCL Discover. MaxAI Session Insights provides AI-driven contextual insights and actionable-analysis based on the selected session.
- Appendix
  - Best Practices for MaxAI Queries
  - Queries - Examples
    The following sections contain examples for proper queries that you can ask MaxAI related to Unica or HCL Discover.
  - FAQs
    The following are some frequently asked questions related to MaxAI Assistant:
  - System Safeguards
  - How the System Responds to Errors
    This topic explains how the system handles scenarios where it cannot generate a response due to incomplete or unclear inputs. It provides users with insights into fallback mechanisms, error messaging, and clarification requests.

How the System Responds to Errors

This topic explains how the system handles scenarios where it cannot generate a response due to incomplete or unclear inputs. It provides users with insights into fallback mechanisms, error messaging, and clarification requests.

Fallback Prompts

When the system encounters an error or lacks sufficient information to generate a response, it triggers fallback prompts to guide the user.

Example: Input: What is the performance of my campaign?; Fallback Prompt: Could you specify what aspect of performance you are looking for? For example, audience engagement, revenue, or response rates?
Why it Happens?: The query is too broad, and the system needs more details to provide an accurate response.

Clarification Requests

The system may ask for additional input to refine the query.

Example: Input: Show me campaigns for this week.; Clarification Request: Are you asking for active campaigns, completed campaigns, or campaigns by specific metrics?
Why it Happens?: The query lacks specificity, leading to potential ambiguity in the system’s response.

Default Error Messages

When the system cannot find relevant data, it provides polite error messages:

Example: Input: Tell me the sentiment of campaign emails.; Error Message: Sorry, I cannot analyze sentiment as it is outside the scope of this system. Please ask about supported analytics or documentation.
Why it Happens?: The query is beyond the system’s capabilities or unrelated to its design.

Handling Context-related Errors

If the system identifies cross-context issues (for example, switching between reports and analytics without resetting), it will attempt to guide the user back on track:

Example: Input: What is the click-through rate of Campaign X? Also, explain how Unica handles email delivery.; Response: Your first question pertains to analytics, and the second to documentation. Please clarify if you want the system to prioritize analytics or documentation.