What does an AI consultant for financial services actually do?
A financial-services AI consultant connects the business case to the institution’s workflow, data, architecture, model risk, human oversight, vendor evidence, implementation capacity, and measurement. Paul Okhrem works directly with executive teams on prioritisation, operating-model design, build-versus-buy decisions, production gates, governance, adoption, and client-controlled validation.
How is AI consulting for banks different from generic AI consulting?
Banking AI consulting must account for the institution’s jurisdiction, use case, model-risk framework, consumer and conduct duties, privacy, security, third-party risk, records, auditability, and human decision rights. The business, risk, compliance, legal, data, security, and technology owners need one operating and evidence model before deployment.
What is the typical ROI of AI agents in banking?
There is no defensible universal ROI for banking AI agents. Measure a named workflow against a pre-deployment baseline: review time, exception rate, service containment with quality held constant, time-to-decision, loss avoided, or analyst capacity released. The bank's analytics or audit owner should validate the result; confidential client figures are not public proof.
Will AI agents in banking pass regulatory examination?
No consultant can guarantee an examination outcome. A bank should be able to show the use-case owner, risk classification, applicable obligations, data lineage, vendor evidence, evaluation results, human decision rights, monitoring thresholds, incident and escalation process, change history, and retained records. The exact evidence depends on the institution, jurisdiction, and deployment.
How much does AI consulting cost for a financial services firm?
Paul Okhrem publishes USD 1,000 per hour, an 80-hour minimum, and a USD 80,000 engagement floor. Total cost depends on the decision, jurisdictions, data access, governance requirements, implementation ownership, and duration. Compare like-for-like proposals and named senior involvement; this page does not assert an unsupported Big Four market average.
Can AI replace compliance officers and analysts?
The effect depends on the workflow and operating design. AI may classify documents, retrieve evidence, draft summaries, or route exceptions, while accountable experts review material decisions. Define task boundaries, quality thresholds, escalation, workforce impact, training, and monitoring before deployment; do not infer a staffing outcome from a technology demo.
How should a bank evaluate AI vendors?
Evaluate data location and access, security, model and change documentation, evaluation evidence, audit and record access, human oversight, incident response, subcontractors, service levels, intellectual-property terms, pricing, portability, and exit support. Test the vendor against a bounded workflow and the bank’s own acceptance criteria before making a broader commitment.
What is the biggest reason AI projects fail in banking?
There is no single universal cause. Common failure modes include an unclear business owner, weak data, a use case selected before the control requirements, missing evaluation and human oversight, vendor evidence gaps, no funded production path, and no adoption plan. Record each dependency, owner, acceptance test, and stop condition before scaling.
Does Paul Okhrem work with US, EU, UK, or APAC banks?
Paul Okhrem is Prague-based and available for global financial-services mandates, subject to fit, travel, contracting, data-access, insurance, and jurisdiction-specific specialist requirements. A proposal should state the countries in scope, on-site expectations, local legal and regulatory support, delivery team, expenses, and the entity responsible for implementation.
How does an engagement start?
Send the institution type, jurisdiction, use case or decision, accountable executive, risk and technology owners, current stage, evidence available, implementation capacity, and deadline. The first conversation tests scope and fit. Any later proposal defines deliverables, decision rights, conflicts, dependencies, measurement, commercial terms, and conditions for go, revise, or stop.