PwC finds 15% AI gains
- Sygnum Bank highlighted a PwC report claiming reengineered data for AI can deliver about 15% efficiency gains. - The cited gains come from real‑time decisioning and embedded compliance in digital asset banking contexts. - The finding underscores data architecture and unified data platforms as measurable levers for AI value in finance (x.com).
PwC says banks that fully embrace artificial intelligence could improve their efficiency ratio by as much as 15 percentage points. (pwc.com) The figure comes from a PwC Strategy& analysis published on October 16, 2025, which framed the bank efficiency ratio as a new measure of “AI maturity” across front-, middle- and back-office operations. (pwc.com) A newer PwC note, published April 10, 2026, ties that promise to data plumbing rather than chatbots: banks’ records were built for accounting, reconciliation and regulatory reporting, not for real-time decisions or enterprise-wide AI. (pwc.com) PwC says the same data used for filings such as FR Y-14, FR 2052a and FR Y-15 now needs to be rebuilt so it can also power personalized offers, management decisions and AI systems at scale. (pwc.com) That is especially relevant in digital-asset banking, where compliance checks sit inside the product. PwC says firms in digital assets face expanding oversight and tougher risk-management expectations from regulators. (pwc.com) Sygnum, a regulated digital-asset banking group founded on Swiss and Singapore heritage, sells that compliance layer directly to banks and other virtual-asset service providers. Its business-to-business platform supports more than 20 partner banks, and its crypto anti-money-laundering tool has been in use since 2019. (sygnum.com 1) (sygnum.com 2) (sygnum.com 3) On Sygnum’s pitch, the product is not just custody or trading. It is an API-linked compliance stack that checks wallet ownership, screens transactions, covers Financial Action Task Force travel-rule workflows and connects with custody, customer-record and core-banking systems. (sygnum.com) PwC is making a broader argument across industries. In a 2026 study of 1,217 companies across 25 sectors, it said the most “AI-fit” companies captured 74% of measured AI-driven returns, and that top group delivered AI-driven financial performance 7.2 times higher than other respondents. (pwc.com) The through line in both reports is that AI gains show up when companies rebuild data, controls and workflows together. In banking, PwC’s 15-point claim rests less on a single model than on whether the bank can turn governed data into real-time decisions without breaking compliance. (pwc.com 1) (pwc.com 2)
