Banking Automation Course

Lesson 1 • Core Automation Technologies Overview

Surveys RPA, AI, APIs, and workflow engines as foundational tools. Provides context for deeper dives in later chapters.

Lesson 2 • Stakeholders and Governance Basics

Identifies roles involved in automation initiatives and introduces governance structures. Prepares students for cross-functional collaboration.

Lesson 3 • What Banking Automation Means

Defines automation in financial services and distinguishes it from digitisation. Sets shared vocabulary used throughout the course.

Lesson 4 • Business Drivers for Automation

Examines cost, speed, accuracy, and compliance pressures that motivate banks to automate. Connects business goals to technical decisions.

Lesson 1 • Process Discovery Techniques

Covers interviews, observation, and process mining to document current-state workflows. Feeds directly into automation candidate selection.

Lesson 2 • Business Case and ROI Fundamentals

Structures cost-benefit analysis and ROI calculations for automation proposals. Enables students to justify investments to decision-makers.

Lesson 3 • Data Quality and Availability Assessment

Evaluates input data completeness, consistency, and accessibility for automated processing. Poor data quality is a leading cause of automation failure.

Lesson 4 • Process Mapping and Modeling

Teaches BPMN notation and swimlane diagrams to represent banking workflows visually. Accurate maps are prerequisites for automation design.

Lesson 1 • RPA Architecture and Components

Explains bot runners, orchestrators, and control rooms as the technical backbone of RPA platforms. Grounds students before bot development begins.

Lesson 2 • Automating Reconciliation Processes

Builds bots for account and transaction reconciliation, a critical back-office function. Demonstrates measurable accuracy and time savings.

Lesson 3 • Bot Design Principles

Covers modular design, exception handling, and logging standards for maintainable bots. Good design reduces rework and production failures.

Lesson 4 • Bot Testing and Quality Assurance

Establishes unit, integration, and user acceptance testing protocols for RPA bots. Ensures bots perform reliably before production deployment.

Lesson 5 • Automating Data Entry and Extraction

Applies RPA to high-volume data entry, form filling, and screen scraping in banking systems. Directly addresses the most common banking automation use case.

Lesson 1 • Natural Language Processing for Banking

Uses NLP to automate email triage, query classification, and contract review. Enables automation of communication-heavy banking processes.

Lesson 2 • Optical Character Recognition in Banking

Applies OCR to extract data from checks, statements, and identity documents. Eliminates manual keying from document-heavy banking workflows.

Lesson 3 • Machine Learning for Decision Automation

Introduces supervised learning models for credit scoring, fraud detection, and risk flagging. Connects model outputs to automated workflow triggers.

Lesson 4 • Intelligent Automation Architecture

Defines how AI components layer onto RPA to handle unstructured data and decisions. Establishes the conceptual model for all AI-enhanced workflows.

Lesson 1 • Integration Testing and Error Handling

Tests API connections for reliability, latency, and failure recovery. Ensures integrations remain stable under production banking loads.

Lesson 2 • Event-Driven Integration Patterns

Implements message queues and event streaming to trigger automated workflows in real time. Supports high-volume, low-latency banking automation scenarios.

Lesson 3 • API Fundamentals for Banking

Covers REST and SOAP protocols, authentication methods, and API documentation reading. Provides the technical literacy needed for all integration work.

Lesson 4 • Open Banking and Third-Party Connectivity

Leverages open banking standards to integrate fintech services and external data providers. Expands automation reach beyond internal systems.

Lesson 1 • Regulatory Reporting Automation

Automates data aggregation, validation, and submission for periodic regulatory reports. Eliminates manual errors and missed deadlines in reporting cycles.

Lesson 2 • KYC and Customer Onboarding Automation

Automates identity verification, document collection, and risk scoring in onboarding. Reduces onboarding time whilst maintaining regulatory compliance.

Lesson 3 • Regulatory Landscape for Automation

Maps key compliance obligations relevant to automated banking processes. Establishes the regulatory context that shapes all compliance automation design.

Lesson 4 • AML Transaction Monitoring Automation

Builds automated rule-based and AI-driven transaction screening for suspicious activity. Improves detection rates and reduces false-positive review burden.

Lesson 1 • Centre of Excellence Model

Designs a CoE structure with defined roles, standards, and governance for automation scaling. The CoE is the organisational engine for sustainable automation growth.

Lesson 2 • Agile Delivery for Automation Projects

Applies sprint-based delivery to automation development for faster iteration and feedback. Agile reduces delivery risk in complex banking automation programmes.

Lesson 3 • Vendor and Tool Selection

Evaluates automation platforms using functional, technical, and commercial criteria. Guides students through RFP processes and proof-of-concept assessments.

Lesson 4 • Change Management and Adoption

Addresses workforce impact, communication, and training strategies for automation rollouts. Adoption failure is the primary cause of unrealised automation value.

Lesson 1 • Scaling Automation Across the Enterprise

Addresses infrastructure scaling, reusable asset libraries, and federated delivery models. Enables banks to move from pilot projects to enterprise-wide automation.

Lesson 2 • Performance Measurement and KPIs

Defines and tracks automation KPIs including throughput, error rate, cost savings, and SLA compliance. Measurement enables evidence-based optimisation decisions.

Lesson 3 • Enterprise Automation Roadmap Design

Builds a multi-year automation roadmap aligned to business strategy and technology evolution. Roadmaps guide investment decisions and capability sequencing.

Lesson 4 • Hyperautomation Concepts

Combines RPA, AI, process mining, and low-code platforms into a unified hyperautomation approach. Represents the current frontier of banking automation strategy.