Connected data is emerging as essential for enabling AI to handle critical enterprise functions with reliability and trust, especially in highly regulated areas like compliance, reporting, and sustainability. Industry experts at Workiva’s Amplify event highlight how integrating fragmented records and human knowledge offers the necessary context for AI to produce defensible outcomes.
- Connected data supplies AI with context for accurate, auditable outcomes
- Workiva expands platform use beyond finance into compliance and sustainability
- Trustworthy AI demands data traceability and decision transparency
What happened
At the Workiva Amplify event, principal analyst Krista Case presented a keynote analysis emphasizing the importance of connected data as a foundation for trusted AI in enterprise settings. Workiva showcased its evolving platform designed to link data across business systems, enabling AI to execute more complex and regulated tasks beyond traditional financial reporting.
The discussion highlighted a demonstration of Workiva’s product capabilities and insights from Chief Product Officer Deepak Bharadwaj, who elaborated on the technical demands of trust in AI applications. The company is extending its reach into risk management, compliance, and sustainability, showing how connected data empowers AI with the context necessary to handle these sensitive areas reliably.
Why it matters
Enterprises increasingly assign AI agents critical roles, including preparing regulatory filings and performing compliance tasks that must be precise, repeatable, and defensible. Traditional generative AI produces probabilistic answers that are insufficient for regulated business functions, where understanding the source and decision processes is mandatory for audits and regulatory reviews.
Fragmented data sources like enterprise resource planning (ERP), customer relationship management (CRM) systems, spreadsheets, and undocumented human knowledge create a barrier to trust. Workiva’s solution lies in connecting these varied data points, providing AI with a comprehensive picture of business context, which transforms isolated data into accountable and traceable business records.
What to watch next
Future developments will reveal how Workiva’s platform can deepen AI’s understanding of industry-specific rules and company conditions to improve decision-making trustworthiness. As AI moves beyond analysis into executing multi-step processes, visibility into both the input data and AI reasoning will be crucial for enterprise adoption.
Monitoring Workiva’s progress in sustainability reporting and risk compliance domains will be key, as these areas demonstrate growing demand for AI solutions that deliver accuracy, traceability, and regulatory alignment. Enterprises seeking to deploy AI for critical business operations should watch how connected data strategies evolve to address trust and accountability needs.