Table of Contents

• 1.0 A Generative Chemical Language Model for Struc …

• 2. Intelligent Validation Agents: From URS to Test …

• 3.0 Revolutionizing Temperature Mapping with Auton …

• 4. Intelligent GxP Workflow Automation: Meet Zippy …

• 5. Navigating the FDA’s Risk-Based Framework for A …

• 6. Explore the Next Frontier of AI in GxP Manufact …

Here’s an exclusive look at few of the groundbreaking sessions poised to redefine possibilities in GxP manufacturing:

1.0 A Generative Chemical Language Model for Structure Elucidation of Organic Compounds

Molecular structure elucidation has traditionally been a slow, manual, and computationally intensive process. Introducing CLAMS—a cutting-edge AI model specifically designed to predict chemical structures from spectroscopic data, mimicking the capabilities of a trained chemist but with superhuman speed.

Here’s how CLAMS functions:

• Input Spectral Data: Simply provide it with IR, UV-Vis, or NMR spectral data.

• Data Interpretation: CLAMS utilizes a ViT encoder and ChemBERTa decoder to analyze the input, allowing it to comprehend functional groups and atomic environments.

• Rapid Output Generation: In just 2.4 seconds, it produces a set of possible molecular structures, each accompanied by contextual confidence and validated chemical accuracy.

2. Intelligent Validation Agents: From URS to Test Execution—Autonomously

Imagine generating a complete GxP-compliant validation package with zero human intervention. This live demonstration brings that vision to life with autonomous validation agents capable of managing the entire validation lifecycle:

• Automatically drafting User Requirement Specifications (URS) using regulatory-aligned language

• Instantly generating test cases from URS content without manual transposition

• Executing test protocols in real-time, complete with full traceability

• Creating comprehensive trace matrices to ensure end-to-end coverage

• Producing fully compliant documentation suitable for audits and regulatory review

3.0 Revolutionizing Temperature Mapping with Autonomous Intelligence

Traditional temperature mapping is often slow, error-prone, and resource-intensive. This session introduces a novel approach utilizing xLM’s Intelligent Mapping Platform, which fully automates the temperature mapping lifecycle.

You’ll witness how:

• Sensors are deployed with plug-and-play simplicity—requiring no IT overhead

• Data flows directly to a GxP-validated cloud, ready for live monitoring

• Operators can interact with data using voice commands, enabling hands-free insights

• Automated systems analyze fixed BMS data and generate intelligent, GxP-compliant reports

• Alerts, KPIs, and audit-ready dashboards are produced in real-time

4. Intelligent GxP Workflow Automation: Meet Zippy, Your AI Compliance Companion

GxP workflows are notoriously documentation-heavy and susceptible to bottlenecks. Enter Zippy—a next-generation AI agent designed to execute GxP tasks like a seasoned quality professional.

Here’s how Zippy operates:

• Simply assign a task through natural conversation

• Zippy comprehends the context, maps out a compliant workflow, and secures approvals

• She executes each step with detailed documentation, including timestamps, digital signatures, and audit trails

• Whether onboarding a new user, addressing an incident, or preparing for an audit—Zippy manages it all, 24/7

5. Navigating the FDA’s Risk-Based Framework for AI in Drug, Biologics, and Device Manufacturing

AI is revolutionizing the pharmaceutical and medical device manufacturing sectors, but this innovation introduces new regulatory challenges. The FDA’s 2025 draft guidance provides a proactive framework aimed at ensuring the responsible and compliant use of AI in regulated production environments.

Here’s an overview of how the FDA’s approach functions:

• Define a Clear AI Use Case: Start with specific applications, such as automated visual inspection or process control.

• Utilize the FDA’s Seven-Step Risk-Based Credibility Framework: This framework is essential for establishing model validity, transparency, and lifecycle robustness.

• Ensure Compliance with CGMP and Quality System Regulations: Focus on critical aspects like data quality, model explainability, and real-time monitoring.

6. Explore the Next Frontier of AI in GxP Manufacturing

The summit will feature a diverse lineup of sessions and live demonstrations that highlight how AI is transforming the GxP ecosystem—from intelligent agents and validation engines to compliance automation and ML-powered decision support.

You’ll gain insights into:

• Designing AI-first strategies for regulatory environments

• Implementing agentic frameworks for intelligent automation

• Balancing innovation with governance, traceability, and risk mitigation

• Real-world success stories from organizations scaling AI within GxP boundaries

Whether you’re involved in quality assurance, IT, compliance, or strategy, xTelliGent Two is your gateway to building smarter, faster, and more reliable operations using AI.