Business Development Institute (BDI)

Event Recap: Beyond Silos: Unifying ERP & AI for Smarter Business
2025-11-18 17:30 - 20:00 (America/Chicago) | Del Frisco’s Double Eagle Steak House, 5905 Legacy Dr Suite A120, Plano, TX, 75024, United States
Event Recap:Reimagining the Digital Core: AI-Powered Transformation for the Enterprise

Event Recap:Reimagining the Digital Core: AI-Powered Transformation for the Enterprise

Speakers

Mark G. Panley

Navisite, Part of Accenture

Regional Vice President - SAP GROW

LinkedIn

Bradley Schaufenbuel

Paychex

Vice President and Chief Information Security Officer

LinkedIn

Jereme Ebaugh

SAP

Business Suite Expert

LinkedIn

Rohan Raghuwanshi

Capital One

Head of Technology - Credit Card Experiences

LinkedIn

Ameya Thakur

Optum

Director of Software Engineering

LinkedIn

Executive SummaryEnterprise leaders are actively rethinking the “digital core” to meet demands for agility, resilience, and speed in an environment defined by rapid AI advancement and increasing regulatory pressure. The conversation underscored a clear shift away from monolithic, long-lived systems toward cloud-based, modular architectures that can evolve continuously. Organizations are no longer treating AI as an isolated innovation initiative; instead, they are embedding it into core finance, operations, security, and customer-facing workflows, with a strong emphasis on reliability and governance. A consistent message emerged: technology progress is outpacing organizational readiness. While AI and cloud platforms offer unprecedented capability, value is only realized when people, processes, and data are aligned. Enterprises that are succeeding are grounding AI adoption in concrete business problems, investing heavily in data foundations, and building cross-functional governance to control risk without slowing momentum. In regulated industries especially, human oversight, auditability, and accuracy are non-negotiable. Looking ahead, leaders expect AI to become a standard operating layer across the enterprise, not a differentiator on its own. Competitive advantage will come from disciplined execution—integrating AI into end-to-end processes, training both technical and business teams, and scaling only after value and trust are proven.

Key Themes

Key Themes

Reimagining the digital core.
Organizations are reassessing foundational systems to ensure they support future agility, cloud delivery, and rapid change rather than simply extending legacy architectures.

Use-case-driven AI adoption.
Successful AI efforts start with clearly defined business problems. Tool-first or hype-driven adoption led to duplicated effort, rising costs, and limited value.

Governance and human-in-the-loop controls.
Centralized AI governance, combined with continuous audits and human oversight, is critical—especially in finance, healthcare, and other regulated environments.

Data and infrastructure as prerequisites.
Clean, governed data and scalable cloud infrastructure are prerequisites for AI at scale. Without them, AI initiatives stall or create new risk.

People and training as the bottleneck.
Productivity gains only materialized after organizations invested in structured training for developers, business users, and leaders—not just deploying tools.

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Actionable Takeaways for Enterprise Leaders

Actionable Takeaways for Enterprise Leaders

Anchor AI initiatives to specific business outcomes.
Require every AI use case to articulate value, cost, risk, and impact before approval. Eliminate duplicative or technology-for-technology’s-sake efforts.

Establish centralized AI governance early.
Create an enterprise-level intake and review process that evaluates use cases, consolidates overlap, and enforces security, compliance, and data standards.

Invest in data foundations before scaling AI.
Prioritize data quality, lineage, and governance to ensure AI outputs are accurate, auditable, and defensible.

Embed human oversight where accuracy matters most.
For customer-facing, financial, or compliance-sensitive use cases, design AI systems to defer to humans when confidence thresholds are not met.

Train the entire organization, not just IT.
Build AI literacy across business, product, and operations teams so they can propose realistic use cases and partner effectively with technology teams.

Adopt a phased scaling model.
Roll out AI capabilities incrementally, monitor performance and cost closely, and expand only after demonstrating consistent value and control.

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EVENT PHOTOS

Sponsors

Navisite is a trusted digital transformation partner for growing and established global brands. Through our highly specialized teams, industry solutions, business process expertise and application services, we provide the capabilities and practical guidance customers need to modernize, build and support more agile, resilient and expanding businesses. Our strategic advisory and transformation services advance innovation with comprehensive cloud, enterprise application, data management, intelligent automation and cybersecurity solutions, empowering customers to navigate change and meet new demands at any point in their journey. To learn more, visit navisite.com.

Event Recap: From Disruption to Advantage: AI-Powered Resilience in Supply Chains
2025-11-13 17:30 - 20:00 (America/Chicago) | Gibsons Rosemont, 5464 N River Rd, Rosemont, IL, 60018, United States

Event Recap: Reimagining the Digital Core: AI-Powered Transformation for the Enterprise
2025-11-12 17:30 - 20:00 (America/Chicago) | Ocean Prime, 87 E Wacker Dr, Chicago, IL, 60601, United States

Event Recap : Finance & ERP Transformation in the Age of Gen AI: Driving Innovation, Governance, and Change
2025-10-21 17:30 - 20:00 (America/New_York) | Oceana, 120 W 49th St, New York, NY, 10020, United States
