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

Artificial Intelligence (AI) is reshaping the financial sector by empowering sharper decision-making, strengthening risk management, enhancing fraud detection, ensuring regulatory compliance, refining financial forecasting, and automating processes. This programme equips finance professionals with practical insights into AI technologies and their real-world applications across banking, insurance, investment management, and broader financial services.

Learning Objectives

Upon completion of this programme, participants will be positioned to:

• Grasp the core principles of Artificial Intelligence and Machine Learning as applied to finance.
• Recognize pivotal AI use cases throughout the financial services landscape.
• Deploy AI methodologies for robust risk management, fraud prevention, and financial prediction.
• Leverage AI-driven tools to boost operational efficiency and enhance strategic decision-making.
• Comprehend the ethical, regulatory, and governance frameworks governing AI adoption.
• Assess the opportunities and hurdles associated with integrating AI into financial institutions.

This live, instructor-led session in Nigeria, conducted online or on-site, targets intermediate-level financial professionals, risk analysts, and AI engineers seeking to create and roll out AI-driven solutions for financial automation and fraud detection.

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

• Understand the role of AI in financial automation and fraud detection.
• Construct AI models for identifying fraudulent transactions.
• Apply machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and refine lending decisions.

This instructor-led live training, available either online or on-site, is designed for finance professionals with intermediate experience who aim to leverage artificial intelligence to strengthen credit scoring models, manage risk more efficiently, and enhance lending operations.

Upon completing this training, participants will be equipped to:

• Grasp the core AI methodologies employed in credit scoring and risk prediction.
• Construct and assess credit scoring models utilizing machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Implement AI techniques to optimize underwriting, loan approvals, and portfolio management.

Course Format

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

Course Customization Options

• To request tailored training for this course, please reach out to us to make arrangements.

Artificial Intelligence is reshaping the way financial institutions identify fraud and fight money laundering by enabling intelligent, real-time analysis of massive transaction datasets.

This instructor-led, live training, available both online and onsite, targets intermediate-level professionals eager to utilize 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:

• Comprehend AI use cases in fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Utilize graph-based AI to detect network risks.
• Ensure that model deployment is ethical, explainable, and compliant with regulations.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence serves as a strategic catalyst for reducing risk, enhancing customer experience, and driving operational efficiency within the financial services sector.

This instructor-led live training, available both online and onsite, is tailored for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. It aims to equip them with the knowledge to implement AI solutions responsibly and effectively within their institutions.

Upon completing this training, participants will be able to:

• Comprehend the strategic value that AI brings to financial services.
• Identify and mitigate ethical risks linked to AI models.
• Navigate the regulatory landscape governing AI in the financial sector.
• Design robust governance and implementation frameworks for responsible AI.

Format of the Course

• 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 link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.

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

By the conclusion 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 organizations.

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 customized training for this course, please contact us to arrange.

WrenAI empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. This shift demands strategic adoption planning, asset migration, and robust change management practices.

This instructor-led live training (available online or onsite) targets intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.

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

• Assess legacy BI environments and pinpoint opportunities for modernization.
• Plan and execute the migration from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI functionalities.
• Drive organizational change management initiatives for BI modernization.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on migration and adoption planning.
• Hands-on labs covering conversational analytics and embedded GenBI.

Course Customization Options

• For customized training arrangements for this course, please contact us.

WrenAI facilitates natural language to SQL generation and AI-powered analytics, making data access faster and more intuitive. For enterprise-grade use, quality assurance and observability practices are essential to ensure accuracy, reliability, and compliance.

This instructor-led, live training (online or onsite) is aimed at advanced-level data and analytics professionals who wish to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production.

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

• Evaluate the accuracy and reliability of NL to SQL outputs.
• Apply prompt tuning techniques to improve performance.
• Monitor drift and query behavior across time.
• Instrument WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with evaluation and tuning techniques.
• Practical labs on observability and monitoring integrations.

Course Customization Options

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

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

This instructor-led, live training session, available either online or onsite, is designed for engineers with intermediate-level skills who aim to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.

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

• Authenticate and link applications to the WrenAI API.
• Derive SQL queries from natural language inputs.
• Develop and embed charts using API endpoints.
• Integrate WrenAI into backend systems and internal tools.

Course Format

• Interactive lectures and discussions.
• Practical exercises involving API calls and integrations.
• Real-world projects connecting applications, charts, and data pipelines.

Course Customization Options

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

WrenAI Cloud serves as a contemporary platform that facilitates the connection of data sources, data modelling, and the creation of interactive dashboards.

This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.

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

• Set up and configure WrenAI Cloud environments.
• Connect WrenAI Cloud to multiple 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 visualization.

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 that facilitates the conversion of natural language into SQL and supports semantic data modelling.

This instructor-led live training, available either online or onsite, is designed for advanced data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and guarantee reliable SQL generation.

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

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

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

WrenAI allows SaaS providers to embed generative business intelligence (GenBI) directly within their customer-facing applications. This course equips SaaS teams with the necessary skills to integrate Wren AI via its Embedded API, configure white-label analytics, 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 in SaaS environments.

Upon completing 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.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

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

Delivered as an instructor-led live training (available online or onsite), this course is designed for beginner to intermediate operations professionals aiming to expedite their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.

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

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

Course Format

• Interactive lectures and discussions.
• Practical, hands-on experience building spreadsheets with WrenAI.
• Applied exercises focused on metrics and KPI reporting.

Course Customization Options

• For organisations seeking a tailored version of this training, please reach out to us to make arrangements.