AI adoption is accelerating across commercial banking, but moving use cases from pilots into production remains a challenge. For lenders, the obstacle is increasingly less about the capabilities of AI models and more about whether decisions can be supported by reliable data and withstand regulatory scrutiny.
Recent analysis from nCino, a cloud banking platform, examines how its partnership with IBISWorld, an industry intelligence provider, could help address this challenge by combining verified industry data with AI-enabled workflows. The companies argue that giving lenders greater context around borrowers could help make credit and risk decisions more evidence-based.
Financial statements alone rarely tell the full story of a business. A 6% margin, for example, could signal strong performance in one sector but indicate weakness in another. Without broader industry benchmarks, lenders risk assessing a company against its own historical performance without considering the wider conditions shaping its market.
IBISWorld provides structured, analyst-verified industry intelligence designed to give lenders that additional context. The company has spent nearly 60 years producing research covering industries across global markets, with its data assessing sectors against structural, growth and sensitivity risks.
The intelligence is integrated into nCino’s Continuous Credit Monitoring platform, where it is presented alongside individual borrower financials. This gives analysts access to sector-level information within the same workflow as borrower performance data, rather than requiring them to consult separate sources.
For relationship managers, the additional context can support conversations around loan renewals and pricing, while portfolio managers and chief risk officers can use the information to assess sector concentration across their loan books.
IBISWorld global head of content Naren Sivasailam said, “Increasingly, banking professionals want a single source of truth to live with their existing workflows. Embedding the industry intelligence layer at all points of decision-making allows a single, consistent view of how and why they are made. The intelligence arrives while the decision is being formed, and not after.”
nCino principal product manager Treeske Kluck said, “IBISWorld’s industry intelligence scores each industry across three dimensions: Structural, Growth, and Sensitivity risk and in nCino it shows up in the workflow alongside performance metrics, risk snapshot and score trend, industry and cost-structure benchmarks, external drivers, key success factors, and segment benchmarking for a holistic credit risk approach.”
The companies will explore the role of verified data in moving AI from experimentation into production during a webinar on 9 September. The session will examine IBISWorld’s European industry coverage, its integration with nCino and future applications including European NACE code support, Credit Memo and Banking Advisor.
IBISWorld is also set to participate as a sponsoring partner at the nCino EMEA Summit 2026 on 30 September.
The development highlights a wider challenge for financial institutions deploying AI at scale. As lenders move towards more automated credit and risk decisions, access to reliable external data could become increasingly important for ensuring those decisions are transparent, defensible and supported by sufficient evidence.
Copyright © 2026 FinTech Global
