WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards Training Course

Artificial Intelligence (AI) is reshaping the financial sector by empowering smarter decision-making, strengthening risk management, enhancing fraud detection, ensuring regulatory compliance, refining financial forecasting, and automating key processes. This course equips finance professionals with the practical skills to understand and apply AI technologies within banking, insurance, investment management, and broader financial services.

Learning Objectives

Upon completing this course, participants will be equipped to:

• Grasp the core principles of AI and Machine Learning as applied to finance.
• Recognize significant AI use cases throughout the financial services landscape.
• Leverage AI methodologies to enhance risk management, fraud detection, and financial predictions.
• Deploy AI-driven tools to boost operational efficiency and decision quality.
• Navigate the ethical, regulatory, and governance frameworks governing AI adoption.
• Assess the opportunities and obstacles involved in integrating AI into financial institutions.

This live, instructor-led training in South Africa (offered online or onsite) is tailored for intermediate-level financial professionals, risk analysts, and AI engineers seeking to build and implement AI-driven solutions for financial automation and fraud detection.

By the end of the programme, participants will be able to:

• Understand the impact of AI on financial automation and fraud detection.
• Create AI models for the detection of fraudulent transactions.
• Apply machine learning for real-time risk assessment.
• Deploy AI-enabled financial monitoring systems.

Artificial Intelligence is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led live training, available online or onsite, is designed for intermediate-level finance professionals seeking to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

Upon completing this training, participants will be able to:

• Grasp the key AI methodologies employed in credit scoring and risk prediction.
• Construct and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to enhance underwriting, loan approval processes, and portfolio management.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial intelligence is reshaping the way financial institutions identify fraud and counter money laundering by enabling intelligent, real-time analysis of extensive transaction data sets.

This instructor-led, live training session (available online or in-person) targets intermediate-level professionals looking to utilise machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completing this training, participants will be able to:

• Gain insight into AI applications for fraud detection and AML monitoring.
• Design and deploy models for anomaly detection and transaction scoring.
• Apply graph-based AI techniques to detect network risks.
• Ensure ethical, explainable, and regulatory-compliant model deployment.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request bespoke training for this course, please contact us to arrange.

Artificial Intelligence (AI) serves as a strategic enabler for reducing risk, enhancing customer experience, and boosting operational efficiency within the financial sector.

This instructor-led live training, available both online and onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence but wish to understand how to responsibly and effectively implement AI solutions within their institutions.

Upon completing this training, participants will be able to:

• Appreciate the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Course Format

• Interactive lectures and discussions.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI is an AI-driven analytics platform engineered to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.

This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish to implement governance, compliance, and security patterns for WrenAI at scale.

By the end of this training, participants will be able to:

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organisations.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios.

Course Customization Options

• To request a customised training for this course, please contact us to arrange.

WrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining and simplifying data access. For enterprise-grade deployments, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.

This instructor-led, live training session (available online or on-site) targets advanced data and analytics professionals seeking to assess query accuracy, apply prompt tuning strategies, and implement observability frameworks to monitor WrenAI in production environments.

Upon completion of this training, participants will be capable of:

• Assessing the accuracy and reliability of Natural Language to SQL outputs.
• Utilising prompt tuning techniques to enhance system performance.
• Monitoring data drift and query behaviour over time.
• Integrating WrenAI with logging and observability frameworks.

Course Format

• Interactive lectures and group discussions.
• Practical exercises focused on evaluation and tuning techniques.
• Hands-on labs covering observability and monitoring integrations.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

The WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding charts within internal platforms.

This instructor-led live training, available either online or onsite, is designed for intermediate-level engineers seeking to leverage the WrenAI API for practical implementations, such as SQL generation, data visualisation, and application integration.

Upon completion of this training, participants will be equipped to:

• Authenticate applications and establish connections with the WrenAI API.
• Generate SQL queries from natural language inputs.
• Create and embed charts using specific API endpoints.
• Integrate WrenAI into backend systems and internal tooling.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Hands-on projects linking applications, charts, and data pipelines.

Customisation Options

• To request a tailored training session for this course, please contact us to arrange.

WrenAI Cloud serves as a contemporary platform designed to link data sources, structure data models, and construct interactive dashboards.

This instructor-led, live training session, available either online or onsite, targets beginner to intermediate data professionals eager to master the setup of WrenAI Cloud, data modelling, and dashboard-based visualisation of insights.

Upon completion of this training, participants will be equipped to:

• Set up and configure WrenAI Cloud environments.
• Link WrenAI Cloud to various data sources.
• Model data and define relationships for analytics.
• Create interactive dashboards for business insights.

Format of the Course

• Interactive lecture and discussion.
• Hands-on cloud platform configuration and data modelling.
• Practical exercises in dashboard building and visualisation.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI is an open-source generative business intelligence (BI) tool designed for natural language to SQL conversion and semantic data modelling.

This instructor-led, live training (available online or onsite) is tailored for advanced data engineers, analytics engineers, and machine learning engineers who wish to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.

By the end of this training, participants will be able to:

• Implement semantic models for consistent metric definitions across teams.
• Optimize text-to-SQL performance for accuracy and scalability.
• Configure and enforce guardrails to avoid invalid or risky queries.
• Integrate WrenAI OSS into data pipelines and analytics workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

WrenAI empowers SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing offerings. This course equips SaaS teams with the expertise to seamlessly integrate Wren AI via its Embedded API, configure white-label analytics solutions, and manage multi-tenant deployments effectively.

This instructor-led live training (available online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS environments.

By the conclusion of this training, participants will be able to:

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with tailored branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance within SaaS environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs utilising the WrenAI Embedded API.
• Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.

Course Customisation Options

• To request a customised training programme for this course, please contact us to arrange.

WrenAI Spreadsheets and the Metrics Library facilitate rapid reporting by combining AI-driven spreadsheet workflows with a repository of pre-built, cross-platform business metrics.

This instructor-led live training, available online or on-site, is designed for operations professionals at beginner to intermediate levels who wish to expedite their reporting and analysis processes using WrenAI Spreadsheets and the Metrics Library.

Upon completing this training, participants will be able to:

• Construct AI-enabled spreadsheets for data analysis and reporting.
• Utilise the WrenAI Metrics Library for standardised KPIs.
• Link spreadsheets to various data sources to ensure live data updates.
• Establish automated workflows to streamline operational reporting.

Format of the Course

• Interactive lectures and discussions.
• Practical, hands-on spreadsheet creation using WrenAI.
• Practical exercises focused on metrics and KPI reporting.

Course Customization Options

• To request a bespoke training session for this course, please contact us to arrange.