Page 32 - Banking Finance February 2026

ARTICLE

to regulators, but also to customers. This has led to grow- replacement for human judgement. Credit officers, compli-
ing interest in "explainable AI" (XAI), which balances pre- ance professionals, and relationship managers are empow-
dictive power with interpretability. ered with better insights, not sidelined by automation. Train-
ing and upskilling therefore become critical components of
Model risk management frameworks are therefore evolv- AI transformation.
ing. Banks are increasingly integrating AI models into exist-
ing governance structures-covering validation, stress test- Looking ahead, AI will increasingly integrate across the bank-
ing, version control, and audit review. Cross-functional col- ing value chain-linking onboarding data to credit decisions,
laboration between risk, compliance, IT, and business teams compliance insights to portfolio strategy, and customer
is essential to ensure alignment. behaviour to personalised offerings. The competitive advan-
tage will lie not in adopting AI first, but in governing it best.
Importantly, regulators are not anti-AI. They are anti-opac-
ity. Institutions that demonstrate strong governance, ethi- Conclusion
cal safeguards, and clear accountability are better posi- AI is redefining how banks assess risk, comply with regula-
tioned to scale AI responsibly.
tion, and engage customers. In credit, it enables more in-
clusive and predictive decision-making. In compliance, it
Strategic implications for banks enhances oversight while reducing operational strain. In
The adoption of AI across credit, compliance, and onboarding, it balances speed with regulatory discipline.
onboarding is not merely a technology upgrade-it is a stra-
tegic shift. Banks that deploy AI thoughtfully can improve The future of banking will not be human or machine-it will
profitability, expand inclusion, and strengthen risk manage- be human with machine. Institutions that invest in robust
ment. Those that treat AI as a black-box shortcut risk regu- governance, ethical design, and regulatory alignment will
latory scrutiny and reputational damage. be best positioned to harness AI's full potential while main-
taining trust, stability, and resilience in an increasingly com-
Successful banks view AI as an augmentation tool, not a plex financial system.

Money works on trust, not value Banks don’t lend depositors’ money

Y A Rs. 500 note costs only a few rupees to print one-to-one
Y Digital money has no physical existence at all Y Banks create credit when they lend

Y Money works because everyone agrees it will be ac-
Y Loans increase money supply instantly
cepted tomorrow
Y Deposits often come after loans
Y Financial crises destroy trust, not currency
Y This system fuels growth—but increases risk
Y When trust falls, even strong economies feel weak
Y That’s why regulation matters so much
Most money you use has never existed
The richest investors prefer boring
as cash
portfolios
Y Over 90% of money exists only as digital records
Y High excitement usually means high volatility
Y Bank balances are numbers on servers, not cash in
vaults Y Wealth grows through consistency, not thrill

Y Cash is used less, but digital money keeps growing Y “Boring” assets protect capital during crashes
Y Payments move faster than physical money ever could Y Avoiding big losses matters more than big wins
Y Banking today is mostly data, not paper Y Stability beats stories in the long run

28 | 2026 | FEBRUARY | BANKING FINANCE