Agenda for Day 2 - Wednesday August 12th, 2026Wednesday, 12 August 2026 - EST/EDT (Eastern Daylight, GMT-4)

Compliance data problems rarely start in a reporting system. They start in the field at the moment of HCP engagement, when a transfer of value is logged. 

In this session, Vanigent shares findings from a live deployment with a pharma field team: what changed when AI guidance was built into the field workflow itself, rather than applied after the fact. Drawing on real pilot outcomes across time savings, compliance accuracy, and audit readiness, the session closes with a live demonstration of the technology running on real field scenarios. 

• Attendees will see how AI-guided field execution improves: 

• Data accuracy at the point of engagement 

• Real-time error detection before anything is submitted 

• HCP documentation completeness in the field 

• Audit trail integrity from event to report 

• Field adoption and satisfaction, because controls only work when people actually use them 

When compliance intelligence lives where the work happens, the data quality problem starts shrinking before it ever reaches an audit. 

• Examine how teams are rethinking processes, workflows and cross-functional alignment to support timely, accurate and resource-efficient transparency operations
• Review strategies for optimizing approval pathways, strengthening communications with business partners and reducing manual rework
• Explore how different tools and process simplifications can drive consistency while allowing compliance teams to focus on higher-value activities

• Explore how compliance teams are beginning to use predictive analytics and machine learning to identify engagement risks earlier and more accurately
• Review practical applications for AI, including anomaly detection, pattern recognition and prioritization of higher-risk activities or documentation gaps
• Discuss considerations for implementation, governance and cross-functional collaboration to ensure AI-driven monitoring supports

• Examine the leading sources of data discrepancies, including upstream errors, manual edits and inconsistent documentation that directly impacts aggregate spend reporting
• Review practical methods for improving data checks, reducing manual corrections and ensuring consistent, accurate data flows from all business functions
• Discuss process and governance enhancements that help teams maintain data integrity even during restrictive timelines or high-volume reporting periods

• Explore how organizations are integrating data privacy and access controls into AI-supported processes, ensuring compliance with internal standards and external regulations
• Review considerations for limiting unnecessary data exposure, controlling who can access sensitive information and ensuring AI tools use data responsibly

• Explore how senior compliance and transparency leaders evaluate new tools and service providers, including the criteria used to assess risk, value, scalability, and organizational fit
• Examine how initiatives are championed internally, the stakeholders involved in approvals, and the factors that influence whether proposals gain momentum or stall
• Discuss what internal teams and vendors need to demonstrate beyond functionality to build a compelling, leadership‑ready case that secures final sign‑off

• Review approaches for monitoring field-based activities, including speaker program execution, HCP interactions and meal distribution practices
• Examine common documentation challenges and how clearer guidance, standardized tools and ongoing training can help field teams stay current with evolving requirements
• Discuss methods for identifying issues earlier, improve escalation pathways and provide real-time feedback to reduce reporting risks

• Learn the best practices for overseeing third-party vendors involved in data collection, HCP identification, system integration and transparency reporting
• Examine approaches for evaluating vendor performance, documenting shared responsibilities and ensuring data accuracy across complex multi-vendor ecosystems
• Discuss strategies for strengthening accountability, improving communication pathways and mitigating operational risks, particularly for small and midsize companies with limited internal resources

• Review common master data challenges, including duplications, conflicting records and incomplete HCP profiles that complicate downstream reporting
• Explore methods for strengthening HCP identification through validation rules, data cleansing and technology-enabled matching
• Discuss how improved data governance and stronger cross-functional coordination support more accurate, reliable HCP master data management

• Explore how organizations strengthen issue identification, escalation, and remediation processes to support more proactive and transparent risk management
• Review approaches for developing internal controls, particularly for small and midsize biopharma teams with limited resources and infrastructure

• Examine key patterns and data signals that often precede audit findings, errors, or compliance concerns across transparency and HCP engagement activities
• Explore practical early-warning tools and monitoring approaches that are adaptable for both large organizations and smaller biopharma teams without advanced systems
• Discuss how timely detection, targeted escalation and structured review cycles can strengthen audit readiness and reduce downstream risks

• Examine how mergers, acquisitions, and system consolidations affect data consistency and transparency reporting readiness
• Review strategies for managing integrations finance, commercial operations, medical affairs and IT to reduce disruptions and reporting gaps
• Discuss practical steps for maintaining data integrity during transitions, including validation processes and cross-functional coordination

• Explore how Corcept Therapeutics built a high resilience, end to end aggregate spend and HCP engagement data ecosystem designed to withstand organizational changes, new data flows, and evolving transparency requirements
• Hear firsthand how the system captures speaker programs, HCP interactions, contracting data, expenses, touchpoints and real time changes with minimal disruption and exceptionally strong data integrity
• Learn how the team designed future proof workflows that can scale with business growth, absorb process changes and maintain reporting accuracy even during periods of restructuring or evolving operational models