Problem: Banks face rising fraud, slow onboarding, fragmented legacy systems and heavy regulatory scrutiny.
Agitate: These pain points increase costs, delay client activation, overload compliance teams with false positives, damage customer experience and constrain growth.
Solution: Narrow, instrumented AI pilots that target measurable KPIs (false-positive rate, time-to-onboard, STP, cost-per-transaction) and embed governance, explainability and independent validation.
Fraud & AML — Problem: High volumes of alerts and manual investigations.
Agitate: Investigators burn hours on low-value cases; true risks can slip through noisy queues.
Solution: Deploy ML anomaly detection, graph analytics and conservative human-in-the-loop thresholds to cut false positives and prioritise true investigations.
Onboarding & KYC — Problem: Lengthy manual document checks and poor audit trails.
Agitate: Friction causes drop-offs, regulatory exposure and audit headaches.
Solution: Use computer vision, NLP and automated workflows to shorten time-to-onboard, improve traceability and retain auditable logs.
Payments & Reconciliation — Problem: High exception rates from imperfect references and legacy integration challenges.
Agitate: Manual reconciliations inflate operating costs and slow settlement.
Solution: Apply fuzzy matching, entity resolution and predictive routing to increase STP and reduce exception queues.
Personalised Advisory & Credit — Problem: Advisors cannot scale personalised advice; credit models lack alternative signals.
Agitate: Missed AUM opportunities and slower originations.
Solution: Hybrid robo-advice, regime-aware optimisation and calibrated credit scoring with explainability and backtesting to improve outcomes and supervision readiness.
Governance & Rollout — Problem: Model drift, data silos and weak auditability.
Agitate: Regulatory incidents and loss of client trust become likely without controls.
Solution: Phased adoption: 3–6 month pilots, scale with CI/CD, integrate into core systems, and govern continuously with independent validation, SOC2/pen-test attestations and clear KPIs.
Start with measurable pilots, require vendor benchmarks and independent validation, and tie go/no-go gates to statistically significant business lifts. This pragmatic PAS approach turns AI from abstract promise into audited, repeatable value.
