Executive Leadership Training
AI Business Systems for Managers
This one-day executive-level training class provides managers with a concise, practical introduction to AI Business Systems and their value for planning and decision-making in complex organizations.
Inquire about TrainingDuration
One Day
Format
Executive Workshop
Level
Executive Leadership
Executive-Focused Training
Leadership-Level Understanding
Adapted from the in-depth Level 1 technical program delivered by Raul Sosa, eSystemAI's Fractional AI Executive and Model-Based Systems Engineering (MBSE) architect, this session focuses on understanding AI Business System concepts, architecture, and application at a level appropriate for leadership rather than hands-on building.
Using a realistic scenario involving a large organization, the course demonstrates how leadership and planning teams apply AI Business Systems to clarify stakeholder concerns, align strategic objectives, evaluate build-versus-buy decisions, and conduct trade studies across organizational and technical boundaries.
Insight and Application
The emphasis is on insight and application: how AI Business System models support better communication, more transparent reasoning, and more defensible management decisions in complex enterprise transformations.
The course also walks through the 3-Level Solution framework - Level 1 Personal Productivity, Level 2 System Integration, and Level 3 Bespoke Orchestration - along with modern agent tooling, and how they all fit into a single, coherent AI strategy for your organization.
AI Business Systems for Managers - Full Day Workshop
A comprehensive one-day session covering AI Business System concepts and their practical application.
Introduction and Overview - key background concepts about AI Business Systems and where they fit your operations.
The Enterprise and Its Stakeholders - understanding context and stakeholders is key to a successful AI rollout.
Thinking in Capabilities and Business Activities - abstracting away from current workflows opens better approaches.
Services and Measurements - measurements are key to evaluating options and setting automation KPIs.
Resources - People, Systems, and Software - an AI deployment is composed of humans, systems, and software together.
Assessing Options, Trade Studies - comparing automation approaches and expected returns.
Modeling Risks and Governance - AI execution depends on risk management, data governance, and clear traceability.
Wrap-Up and Discussion - a 90-day adoption roadmap and how to sequence AI across your functions.
Learning Outcomes
Upon completion of this course, participants will be able to:
Understand AI Business System concepts, architecture, and application at a leadership level.
Clarify stakeholder concerns and align strategic AI objectives.
Evaluate build-versus-buy decisions for AI tooling and automation.
Conduct trade studies and set ROI expectations across business functions.
Support better communication and more transparent AI reasoning.
Make more defensible management decisions in complex enterprise AI transformations.
Target Audience
This course is designed for:
Why Managers Choose This Course
Strategic benefits that drive organizational success.
Accelerated ROI
Learn to measure and maximize return on AI investments through proven frameworks.
Risk Mitigation
Understand how AI business systems reduce technology risk and improve decision-making confidence.
Team Excellence
Build and lead high-performing AI-aware teams with clear governance and accountability.
Strategic Alignment
Ensure AI initiatives align with business objectives through a governed framework.
Best Practices
Access proven methodologies from successful AI implementations across industries.
Competitive Advantage
Gain strategic insights that differentiate your organization in the marketplace.
Lead Your Organization's AI Transformation
Join technology leaders from global enterprises who have successfully deployed AI business systems to drive business value and competitive advantage.