Inteq Training

Discovering Agentic AI Opportunities

Identifying, Evaluating, and Prioritizing High-Value Opportunities for AI Agents in Business Processes

Move beyond traditional process improvement thinking and apply structured analytical frameworks that assess processes for agentic potential based on cognitive complexity, autonomy readiness, economic value, and strategic fit.

2 Days | 14 Engagement Hours

Inteq Discovering Agentic AI Opportunities Course Completion Digital Badge

Agentic AI Opportunity Discovery

What Is an Agentic AI Opportunity?

An agentic AI opportunity is a business process, work activity, decision, or workflow where an AI agent can create meaningful business value by perceiving context, reasoning across information, making or supporting decisions, taking actions, and coordinating work within defined levels of autonomy and governance. The strongest opportunities are not identified by starting with the technology; they are discovered by first understanding how work is performed, where decisions and friction occur, and where greater autonomy can improve outcomes.

Evaluating agentic AI opportunities requires more than identifying tasks that can be automated. Organizations must assess factors such as business and economic value, cognitive complexity, decision intensity, autonomy readiness, process and data readiness, operational risk, governance requirements, and strategic fit. A structured opportunity-discovery approach helps teams prioritize AI agent initiatives that are practical, governable, and capable of delivering measurable business impact.

300,000+ Professionals Trained

14 PDUs / CDUs

4.8★ Average Participant Rating

Fortune 500 Trusted by Global Brands

Course Overview

AI Agent and Agentic AI Foundations

Clear definitions of AI agents and agentic AI
Distinguish AI agents from traditional automation, RPA, conventional AI, and copilots
A shared vocabulary - including autonomy, delegated authority, guardrails, escalation, orchestration, and agentic process - that forms the conceptual foundation for agentic AI and AI agents

Creating Enterprise Value with AI Agents

Framework for identifying where AI agents create value
The five core components of every AI agent
How the components fit and reinforce synergistically to create value

Agentic Process Discovery and the Five Discovery Lenses

The five discovery lenses
How each component of an AI agent creates specific business analysis requirements for agent specification, design, and deployment across enterprise processes
Moving from traditional automation assessment to discovering reason- and judgment-intensive opportunities

Agent Opportunity Assessment and Portfolio Prioritization

Structured evaluation of candidate processes
The four weighted dimensions model
Develop a value-based portfolio including deployment roadmaps

Task Autonomy and the Five-Tier Taxonomy

The five-tier autonomy taxonomy
Human-on-the-Loop vs. Human-in-the-Loop
Fully Autonomous vs. Human-Initiated vs. Human-Only
Structured classification methodology, stakeholder validation, and phased autonomy evolution planning

Agent Value Stream Mapping and Economic Impact Visualization

Agent-adapted value stream mapping technique to visualize end-to-end processes
Autonomy tier annotations
Queue elimination modeling and bottleneck migration analysis
Comprehensive current-state to future-state economic impact analysis

Case Study and Applied Frameworks

Hands-on workshop exercises that build practical competency through structured templates applied to real-world business processes.

Discovery Anti-Patterns and Practical Guidance

Recognize and avoid six common discovery pitfalls
Dependency management and deployment sequencing
Building the business case for AI agent investment

Discovering Agentic AI Opportunities Training

Inteq's Discovering Agentic AI Opportunities course provides a structured, business-oriented methodology for identifying, evaluating, and prioritizing where AI agents create measurable value across enterprise business processes.

Most organizations approach agentic AI backwards - starting from the technology and searching for places to apply it, or targeting high-volume task work that RPA already handles well. The result: stalled pilots and low-value automation.

Agentic value originates elsewhere - in the decisions embedded in your processes, where work waits for judgment and decision latency consumes most elapsed time. RPA follows rules. AI agents reason and act. This is where the course starts.

Over two immersive days, participants apply five analytical discovery lenses to surface judgment-intensive, delegable work; assess candidate opportunities across value, feasibility, risk, and readiness; classify tasks by appropriate autonomy level using a five-tier taxonomy; and quantify end-to-end economic impact through agent value stream mapping.

Through hands-on exercises and applied case work using professional frameworks and templates, individuals and teams build prioritized agent opportunity portfolios with sequenced deployment roadmaps.

The result: a disciplined, repeatable methodology for discovering high-value agent opportunities - the analytical foundation for confident, defensible AI investment decisions.

COURSE OVERVIEW & DETAILED OUTLINE Download the course overview and detailed outline PDF

ANYTIME E-LEARNING™ Anytime, Anywhere, Any Device

TEAM TRAINING Live High-Impact Shared Training Experience

Course Includes

1.4 CEUs / 14 IIBA PDUs | Personalized Digital Badge | Certificate of Completion | Comprehensive Course Manual | Templates, Models & Frameworks

Agentic AI Training

Who Should Attend?

This Discovering Agentic AI Opportunities course is designed for professionals and teams responsible for identifying where AI agents can create meaningful business value. It is especially relevant for those who need a disciplined approach to assess business processes, evaluate agentic potential, and prioritize opportunities before committing to solution design or implementation.

Ideal for professionals who need to:

Identify business processes, work activities, decisions, and workflows with strong potential for AI agents.
Assess agentic opportunities based on business value, cognitive complexity, decision intensity, and autonomy readiness.
Evaluate process, data, governance, risk, and organizational readiness before advancing an AI agent initiative.
Prioritize high-value opportunities and build a more disciplined portfolio of candidate AI agent initiatives.

Common participant roles include:

Business Analysts and Business Systems Analysts
Business Process Analysts, Process Owners, and Operational Excellence Professionals
Product Owners, Program Leaders, and Transformation Professionals
AI, Automation, Digital Transformation, and Innovation Teams
Enterprise, Solution, Data, and Application Architects
Business and IT leaders responsible for AI readiness, investment priorities, and enterprise adoption

For business analysts and process professionals: the course extends established analysis skills into agentic AI by providing structured methods for recognizing where autonomy, reasoning, decision-making, and coordinated action can deliver measurable business value.

Agentic AI Training Options

Choose the Training Format That Works for You

Live virtual or onsite Team Training is available now for organizations that want to build a shared approach to discovering and prioritizing high-value Agentic AI opportunities. Anytime eLearning for individuals and small groups is coming soon.

Anytime eLearning - Coming Soon

Online Agentic AI Opportunity Discovery Training

A self-paced version of Discovering Agentic AI Opportunities is being developed for individuals and small groups who want practical methods for identifying, assessing, and prioritizing high-value AI agent opportunities.

Self-Paced: Learn on your schedule when the eLearning version launches.
Practical Frameworks: Apply structured methods for evaluating agentic potential and business value.
Hands-On Application: Work through exercises adapted for self-paced learning.
Launch Notification: Be among the first to know when enrollment opens.

Notify Me

We’ll email you when the Anytime eLearning version becomes available.

Live Team Training - Available Now

Virtual or Onsite Agentic AI Training for Teams

Build a consistent, best-practice approach for discovering and evaluating Agentic AI opportunities across your organization. Live instructor-led training helps teams assess business processes, evaluate agentic potential, and prioritize initiatives using shared criteria and decision frameworks.

Live Interaction: Engage directly with the instructor and your team.
Team Collaboration: Apply the frameworks through facilitated exercises and discussion.
Consistent Evaluation: Establish shared criteria for business value, autonomy readiness, risk, and strategic fit.
Virtual or Onsite: Select the live delivery format that works for your organization.
Tailored Delivery: Align the training with your organization’s AI strategy, processes, and opportunity portfolio.

James Proctor, course developer and Principal of The Inteq Group

Course Author

Course Developed by James Proctor

James Proctor is Principal of The Inteq Group, author of Mastering Business Chaos, and author of Inteq's thought-leadership series on AI spec-driven development and agentic AI-enabled business processes. He has led business transformation and analysis initiatives for Fortune 500 and government organizations for decades - and more than 300,000 business and IT professionals have trained in his methods.

Key Benefits

Whether building individual skills or establishing an organization-wide methodology for identifying AI agent opportunities, this course delivers the analytical foundation for making smart investment decisions.

What you gain from this Training:

✓ Identify high-value AI agent opportunities by applying five analytical discovery lenses that reveal judgment-intensive, delegable work hidden inside existing business processes
✓ Build prioritized agent opportunity portfolios with composite scoring - replacing intuition-driven selection with structured, defensible analysis
✓ Classify tasks by appropriate autonomy level using a five-tier taxonomy - ensuring the right balance of agent independence and human oversight
✓ Quantify economic impact through agent value stream mapping - visualizing future-state agent opportunities and the end-to-end financial case for agent investment
✓ Advance your career into the emerging discipline of AI Agent Business Analysis at the intersection of business analysis, AI strategy, and intelligent process design

The result: a disciplined, repeatable methodology for discovering where AI agents create measurable value.

Why inteq training

Inteq’s training is grounded in deep business analysis and improvement experience and expertise that delivers a comprehensive set of discovery, assessment, and prioritization frameworks you can apply immediately.

What Sets Inteq Apart:

✓ Led by James Proctor - recognized thought leader in business analysis methodology and a pioneer in AI Agent Business Analysis
✓ A five-lens analytical discovery methodology that goes beyond traditional automation thinking to uncover opportunities where agents exercise judgment, not just follow scripts
✓ Accelerates mastery through cumulative exercises where participants carry a single business process through end-to-end discovery, assessment and classification,
✓ Built on a rigorous analytical framework - scoring rubrics, weighted assessment matrices, portfolio classification models, and value stream mapping templates
✓ Trusted globally - 300,000+ professionals trained across top business and government organizations.

This is not generic AI awareness - it’s a repeatable capability for discovering high-value agent opportunities across enterprise processes.

Trusted by professionals and teams at leading organizations

“We stopped chasing the wrong opportunities”

Our leadership team had a list of 30 processes they wanted to "put AI on" - almost all of them chosen based on volume alone. After this course, we applied the five discovery lenses and opportunity assessment framework and narrowed to 8 genuine agent opportunities.

Tomás L.

SVP of Operations, Supply Chain & Logistics

“The autonomy classification was the breakthrough”

We kept getting stuck in debates about whether processes should be "fully automated or not." The five-tier autonomy taxonomy gave us a shared language that completely changed the conversation. Stakeholders who had been blocking AI initiatives became advocates once they understood Human-on-the-Loop versus Fully Autonomous.

Keisha W.

Principal Business Analyst, Energy & Utilities

“Finally, an economic case leadership could act on”

We had been pitching AI agent initiatives with vague ROI estimates and kept getting sent back for more analysis. The agent value stream mapping methodology gave us current-state versus future-state comparisons with specific cycle time reductions, queue elimination projections, and cost impact at every process step.

Nathan C.

Director of Strategic Initiatives, Government & Public Sector

Team Training

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Tell us about your goals, timeline, and audience—we’ll recommend the best delivery approach.

We’ll help define scope, delivery approach, and next steps.

Who Should Attend & Course FAQs