Financial institutions should focus less on deploying artificial intelligence and more on creating integrated, defensible control frameworks that can withstand regulatory scrutiny, according to a technology executive, who argued that explainability, gover
Artificial intelligence will only
strengthen risk management if financial institutions build integrated control
frameworks that connect policy, surveillance, investigations and remediation
into a single defensible operating model, a senior technology executive has
claimed.
Rather than viewing AI as a
standalone solution, organizations should concentrate on creating end-to-end
governance that enables them to explain decisions, demonstrate effective
controls and respond rapidly to regulatory scrutiny.
Speaking at CeFPro's 2026 Risk Evolve
conference, the Global Head of Account Management and Customer Success at a
global compliance technology provider said many organizations continue to
struggle with fragmented controls spread across multiple systems and
departments.
While most firms have established
policies, monitoring capabilities, approval processes and case management
functions, these often operate independently, making it difficult to
demonstrate how risks are identified, managed and continuously improved.
"When your firm faces an
examination or investigation, how long does it take to reconstruct a full
evidence chain?" the executive asked delegates.
She argued that many institutions
still spend days or even weeks assembling information from disconnected
systems, creating inconsistent outcomes, weak evidence trails and delayed
remediation when regulators request supporting documentation.
She added that truly defensible
controls depend on four fundamental principles: traceability, reproducibility,
governance and scalability.
Every regulatory obligation, she
said, should map directly to specific preventive and detective controls.
Further, she believes. every
investigation should be reproducible from beginning to end, every control
change should be governed and documented, and every framework should operate
consistently across jurisdictions, business lines and communication channels.
"Tooling alone is not the
answer," she said.
While technology can dramatically
improve consistency and efficiency, she stressed that successful control
environments ultimately depend upon organizational discipline, clearly defined
ownership and a culture of continuous improvement rather than software alone.
The executive outlined a six-stage
lifecycle for creating what she described as a defensibility-grade controls
framework.
Organizations should first identify
regulatory obligations and internal policies before designing preventive and
detective controls, monitoring activity, investigating incidents, implementing
corrective actions and feeding lessons learned back into the overall framework.
Closing that feedback loop, she
argued, enables firms to adapt as regulations, technologies and business risks
evolve.
She illustrated the importance of
effective remediation by recalling a customer that experienced a sudden
increase in outbound data transfers shortly after employees shifted to remote
working during the pandemic.
