Agentic AI for Business Automation: Use Cases & Integration Training Course
Agentic AI for Business Automation is a practical, hands-on course designed to equip participants with the skills to design, integrate, and scale AI-driven agents for real-world business processes. The curriculum focuses on identifying automation opportunities, integrating various tools, and developing practical use cases across key areas such as customer service, supply chain management, and marketing workflows.
This instructor-led, live training is available either online or onsite, specifically targeting intermediate-level professionals who aim to implement AI-powered automation using no-code, low-code, and Python-based methodologies.
Upon completion of this training, participants will be capable of:
- Pinpointing key areas where agentic AI can enhance process efficiency and drive innovation.
- Mapping existing workflows to determine their suitability for AI agent integration.
- Implementing automation solutions through APIs and orchestration tools.
- Integrating AI models into tangible business scenarios to achieve measurable impact.
- Establishing governance frameworks and monitoring structures for AI-driven operations.
Format of the Course
- Interactive lectures paired with practical demonstrations.
- Hands-on exercises and guided projects.
- Live implementation within a sandbox automation environment.
Course Customization Options
- To request a customized training session for this course, please contact us to arrange your preferred schedule.
Course Outline
Introduction to Agentic AI in Business Automation
- What is agentic AI and why it matters for automation
- Overview of tools and frameworks for building intelligent agents
- Enterprise use cases: customer service, logistics, and marketing
Identifying Automation Opportunities
- Mapping current workflows and pain points
- Evaluating feasibility and ROI for AI-driven automation
- Defining success metrics and integration requirements
Designing Agentic Workflows
- Designing task-specific and orchestration-level agents
- Prompt design and logic structuring for automation agents
- Integrating decision-making and exception handling
Integrating Agents with Business Systems
- Connecting AI agents to CRMs, ERPs, and communication tools
- Using Zapier, Make, or Power Automate for orchestration
- Implementing API-based integrations with Python
Applied Use Cases
- Customer service automation and sentiment analysis
- Supply chain demand forecasting and vendor coordination
- Marketing campaign optimization using AI-driven insights
Governance, Security, and Monitoring
- Managing access control and data sensitivity
- Setting up monitoring dashboards and alerts
- Evaluating and auditing automated decisions
Hands-on Project: Building an Integrated AI Workflow
- Identifying a target process for automation
- Designing and implementing the AI agent
- Testing, evaluation, and optimization
Summary and Next Steps
Requirements
- A basic understanding of business workflows and process automation
- Familiarity with Python or API-based integrations
- Experience using productivity or automation tools
Audience
- Product managers seeking to identify automation opportunities
- Automation engineers implementing AI-driven workflows
- Business analysts designing data-informed business processes
Open Training Courses require 5+ participants.
Agentic AI for Business Automation: Use Cases & Integration Training Course - Booking
Agentic AI for Business Automation: Use Cases & Integration Training Course - Enquiry
Agentic AI for Business Automation: Use Cases & Integration - Consultancy Enquiry
Testimonials (1)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Upcoming Courses
Related Courses
AI as an Agile Pilot
7 HoursThis instructor-led, live training in Turkey (online or onsite) is designed for beginner-level, intermediate-level, and advanced-level professionals who wish to utilize Artificial Intelligence in Project Management and Agile Methodologies to shift from manual coordination to data-driven orchestration. This category focuses on leveraging Machine Learning and Large Language Models to address traditional "bottlenecks" in the software development lifecycle (SDLC). By applying AI to areas such as GitOps, capacity planning, and requirements engineering, organizations can achieve higher precision in forecasting and significantly reduce time spent on administrative overhead. This approach helps teams concentrate on high-value creative work while AI manages the complexity of data processing and scenario planning.
By the end of this training, participants will be able to:
- Understand the technical foundations of Transformers, LLMs, and SLMs.
- Critically evaluate AI tools based on cost, latency, data privacy, and vendor lock-in.
- Master advanced prompt engineering and RAG techniques for professional use.
- Integrate AI into the full Agile lifecycle, from ideation and backlog refinement to risk management.
- Identify and mitigate risks related to AI ethics, biases, hallucinations, and "model collapse."
- Apply "model-based problem solving" to complex engineering and management tasks.
AI-Enhanced Architect Workflow
7 HoursThis instructor-led, live training in Turkey (online or onsite) targets beginner, intermediate, and advanced professionals who wish to transition traditional architectural workflows into AI-native processes. Rather than replacing the architect's creativity, the focus is on enhancing it—using Artificial Intelligence to manage repetitive tasks, accelerate conceptualization, and automate administrative burdens. This workshop bridges the gap between initial sketches and high-end professional presentations.
By the end of this training, participants will be able to:
- Generate 3-5 conceptual variants in the time previously required to create just one.
- Perform independent, high-end post-production on renderings, eliminating the need for external outsourcing for minor corrections.
- Utilize Multimodal AI (Gemini/GPT) to analyze complex legal building codes and technical documentation.
- Implement automated administrative workflows to recover several hours of manual work per week.
Artificial Intelligence (AI) for Corporate Professionals
14 HoursArtificial Intelligence (AI) for Corporate Professionals is an introductory course that explores how AI can be safely and effectively applied across departments within the corporate environment to boost productivity, enhance communication, and streamline operations.
This instructor-led, live training (online or onsite) is aimed at non-technical corporate professionals who wish to understand and begin using AI tools like ChatGPT, Gemini, and Copilot to improve their everyday workflows.
By the end of this training, participants will be able to:
- Understand AI fundamentals, risks, and ethical considerations.
- Apply AI to automate tasks and assist with communication and research.
- Create structured prompts tailored to real-world administrative tasks.
- Plan for safe, scalable adoption of AI tools within their teams.
Format of the Course
- Interactive lecture and discussion.
- Hands-on use of AI tools in corporate scenarios.
- Guided exercises focused on process improvement and communication.
Course Customization Options
- To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.
AI for Daily Tasks: Enhancing Efficiency Across Departments
14 HoursThis instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level to intermediate-level professionals from various departments who wish to learn how to efficiently use AI tools for daily tasks, saving time and improving productivity.
By the end of this training, participants will be able to:
- Identify AI-powered tools suitable for different tasks.
- Automate repetitive processes to improve workflow efficiency.
- Leverage AI for better communication, reporting, and decision-making.
- Ensure responsible and ethical AI usage in the workplace.
Introduction to AI for Administrative Operations
7 HoursThis instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level administrative operatives who wish to have a basic understanding of AI and its applications in administrative tasks.
By the end of this training, participants will be able to:
- Understand the basics of Artificial Intelligence (AI).
- Learn how AI can be integrated into daily administrative tasks.
- Improve efficiency in sending emails, conducting surveys, managing indicators, maintaining records, and performing manual validations through AI tools.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform designed to link data, model insights, and produce dashboards. In enterprise settings, strong governance and security are essential for safe and compliant adoption.
This instructor-led live training (available online or onsite) targets 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 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.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to transition from static dashboards to conversational analytics and embedded generative BI. This evolution demands strategic adoption planning, comprehensive 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 modernization opportunities.
- Plan and execute the migration from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI functionalities.
- Spearhead organizational change management for BI modernization initiatives.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs exploring conversational analytics and embedded GenBI.
Customization Options
- For tailored training requests for this course, please contact us to arrange.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries and supports AI-driven analytics, streamlining data access to be both faster and more intuitive. For enterprise deployments, maintaining high standards for quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led live training, available online or on-site, is designed for experienced data and analytics professionals. Participants will learn how to assess query precision, utilize prompt optimization techniques, and establish robust observability practices to monitor WrenAI within production environments.
Upon completing this training, attendees will be equipped to:
- Assess the precision and dependability of natural language to SQL transformations.
- Implement prompt optimization strategies to enhance system performance.
- Track data drift and analyze query patterns over time.
- Integrate WrenAI with logging and observability frameworks.
Course Structure
- Engaging lectures paired with interactive discussions.
- Practical exercises focusing on evaluation and optimization techniques.
- Hands-on labs dedicated to observability and monitoring integrations.
Customization Options
- For tailored training solutions, please contact us to arrange a session.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for translating natural language into SQL queries, developing tailored applications, and embedding charts within internal platforms.
This instructor-led live training session (available online or onsite) is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, including SQL generation, data visualization, and application integration.
Upon completing this training, participants will be equipped to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that connect apps, charts, and data pipelines.
Customization Options
- For tailored training requests, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud offers a contemporary platform for linking data sources, structuring data, and creating interactive dashboards.
This instructor-led live training (available online or on-site) targets beginner to intermediate data professionals who want to master setting up WrenAI Cloud, modeling data, and visualizing insights within dashboards.
Upon completing this training, participants will be able to:
- Configure and set up WrenAI Cloud environments.
- Link WrenAI Cloud to various data sources.
- Model data and define analytical relationships.
- Develop interactive dashboards for business insights.
Course Format
- Interactive lectures and discussions.
- Practical cloud platform configuration and data modeling.
- Exercises focused on building and visualizing dashboards.
Customization Options
- For customized training requests, please contact us to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Build dashboards aligned with regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with financial data models.
- Practical labs on dashboard design and compliance reporting.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modeling.
This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure 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 for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.
By the end of this training, participants will be able to:
- Design conversational analytics workflows that surface reliable product insights.
- Create and maintain a standardized metrics layer for consistent reporting.
- Use natural-language to SQL features effectively to answer product questions.
- Embed WrenAI-driven self-service dashboards and guardrails in product workflows.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with Wren AI and sample datasets.
- Workshop: build a self-service dashboard and conversational query set.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI allows Software as a Service (SaaS) providers to seamlessly embed generative business intelligence (GenBI) directly into their customer-facing applications. This course empowers SaaS teams with the necessary expertise to integrate Wren AI via its Embedded API, set up white-label analytics, and handle multi-tenant deployments effectively.
This live, instructor-led training (available online or on-site) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution within their SaaS infrastructure.
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 branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in 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.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and Metrics Library facilitate rapid reporting via AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led, live training (available online or onsite) targets beginner to intermediate operations professionals looking to speed up their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.
Upon completing this training, participants will be able to:
- Develop AI-powered spreadsheets for data analysis and reporting.
- Utilize the WrenAI Metrics Library for standardized KPIs.
- Link spreadsheets to various data sources for real-time updates.
- Establish automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Hands-on spreadsheet creation with WrenAI.
- Practical exercises focusing on metrics and KPI reporting.
Course Customization Options
- To request a customized training session for this course, please contact us to arrange it.