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A Deep Dive into Agent-based Report Generation for High-Quality GenAI Responses

Workshop
Are your GenAI-generated reports coherent, trustworthy, and aligned with what users actually need to act on?

Agent-based report generation promises higher-quality outputs, but without deliberate orchestration, reports often drift off intent, lose temporal accuracy, or fail to support decisions. This workshop focuses on designing agent-driven report pipelines that produce reliable, actionable results. 

To win, your GenAI solutions must generate reports through agent-orchestrated pipelines that align to user intent, validate accuracy, and ensure coherence and actionability. 

The Challenge

When report generation relies on naive prompting or single-pass generation, teams face consistent breakdowns: 

  • Unstructured report pipelines: Reports are generated without agent orchestration, leading to inconsistent structure and quality.
    • Misaligned outputs: Generated reports fail to reflect user intent, goals, or decision context. 
    • Questionable accuracy and trust: Data sources, timing, and context are not curated or validated systematically. 

These issues produce reports that are hard to trust, difficult to act on, and costly to fix manually. 

Our Solution

In this hands-on workshop, your team designs and validates agent-based pipelines for producing high-quality GenAI reports. 

  • Design agent-orchestrated report pipelines with clear roles and handoffs.
    • Align report structure and content with explicit user intent and goals.
    • Curate and control data sources to support trustworthy report outputs. 
    • Manage temporal and contextual accuracy across multi-step report generation. 
    • Validate report coherence and actionability through structured review and refinement. 
Area of Focus

Designing Agent-Orchestrated Report Pipelines 
Aligning Reports with User Intent and Goals 
Curating Data Sources for Trustworthy Outputs 
Managing Temporal and Contextual Accuracy 
Validating Report Coherence and Actionability 

Participants Will

• Design agent-based pipelines for consistent, high-quality report generation. 
• Align generated reports tightly to user intent and decision goals. 
• Curate and manage data sources to improve trustworthiness. 
• Maintain temporal and contextual accuracy across complex reports. 
• Validate report coherence and actionability before delivery. 

Who Should Attend:

Data EngineersTechnical Product ManagersSolution ArchitectsML EngineersGenAI Engineers

Solution Essentials

Format

Virtual or in-person 

Duration

4 hours 

Skill Level

Intermediate to advanced

Tools

Agent frameworks, data retrieval systems, and report generation pipelines 

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