Agentic AI Business Transformation Course

Prioritize agentic opportunities, redesign human-agent work, align the operating model, and govern adoption through measurable transformation outcomes.
Agentic AI Business Transformation Course

At a glance

Duration
5 days
Format
Classroom
Cities
Manama, Madrid, London, Johannesburg, Tbilisi, Milan and more
Next session
11 – 15 October 2026, Manama
Average fee
5,800 €

Overview

Agentic AI Business Transformation and Operating Model Course is a five-day advanced course for transformation directors, operating-model leaders, process owners, enterprise architects, digital strategy teams, and functional executives, who leave with an Agentic AI Transformation Roadmap. Participants map enterprise outcomes, identify agentic process opportunities, prioritize an agent portfolio, design a human-agent operating model, establish decision-rights governance, and plan capability building and benefits realization. Agile Leaders Training Center delivers training in accountable agentic AI business transformation.

Who Should Attend

  • Transformation leaders responsible for enterprise outcomes, portfolios, and realization plans
  • Operating-model personnel responsible for roles, governance, and cross-functional coordination
  • Process owners responsible for end-to-end work, decisions, controls, and performance
  • Enterprise architecture and digital strategy personnel responsible for dependencies and sequencing
  • Functional executives responsible for adoption, capability, risk, and accountable value delivery

The course assumes participants can analyze business processes and transformation priorities at work, and it leaves out agent coding, tool implementation, and vendor-platform configuration.

Departments and Industries

The course supports transformation and operating-model functions across financial services, healthcare administration, manufacturing, logistics, professional services, and public services.

  • Enterprise transformation and strategy
  • Operations and process excellence
  • Digital, data, and technology leadership
  • Human resources and workforce transformation
  • Governance, risk, and performance management

Learning Objectives

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

  • Prioritize agentic opportunities by outcome, feasibility, and risk
  • Analyze end-to-end processes, decisions, and dependencies
  • Build a human-agent target operating model
  • Evaluate portfolio sequencing and readiness constraints
  • Apply decision rights, adoption, and risk controls
  • Use benefit indicators to govern staged transformation

Course Agenda

Day 1: Outcomes Processes and Decisions

  • Enterprise Outcome and Value-Driver Map
  • End-to-End Process and Decision Canvas
  • Agentic Opportunity Identification Criteria
  • Human Judgment and Automation Boundary
  • Transformation Assumption Register

Day 2: Portfolio Readiness and Sequencing

  • Agentic Use-Case Value and Feasibility Matrix
  • Data, Technology, and Process Readiness Scorecard
  • Capability and Dependency Heat Map
  • Agent Portfolio Risk and Priority Grid
  • Pilot-to-Scale Sequencing Plan

Day 3: Human-Agent Operating Model

  • Target Human-Agent Workflow Blueprint
  • Outcome-Team Role and Accountability Map
  • Decision Rights and Escalation Matrix
  • Agent Inventory and Ownership Register
  • Cross-Functional Governance Cadence

Day 4: Adoption Value and Control

  • Workforce Impact and Role-Transition Map
  • Capability Building and Adoption Plan
  • Risk Control and Assurance Checklist
  • Benefits Hypothesis and Indicator Tree
  • Value Review and Course-Correction Cycle

Day 5: Transformation Practice and Capstone

  • Suggested Exercise: Challenge an Outcome and Process Opportunity
  • Suggested Exercise: Reorder an Agent Portfolio Under Constraints
  • Suggested Exercise: Test Human-Agent Decision Rights
  • Suggested Exercise: Review Adoption and Benefit Evidence
  • Capstone Exercise: Agentic AI Transformation Roadmap

Practical Exercises

The course uses suggested activities that connect agentic transformation choices with operating evidence and accountability.

  • Suggested activity: map a service process, its decisions, friction points, and human judgment
  • Suggested activity: score opportunities by value, feasibility, readiness, dependency, and risk
  • Suggested activity: assign roles, ownership, approval rights, and escalation paths
  • Suggested activity: define adoption actions and indicators for a staged transformation

FAQs

Who suits the Agentic AI Business Transformation and Operating Model Course, and what does it assume?

The course suits experienced transformation, operating-model, process, architecture, strategy, and functional leaders who can analyze business priorities and need to govern agentic adoption without building agents in code.

How does agentic AI business transformation training differ from AI agent design training?

Agentic AI business transformation training focuses on enterprise outcomes, process redesign, portfolio choices, operating roles, adoption, governance, and benefits rather than tool contracts, memory, orchestration, or technical agent implementation.

How should organizations prioritize agentic AI transformation opportunities?

Organizations should compare outcome value, process suitability, data and technology readiness, dependencies, workforce effects, risk, reversibility, and evidence needed to expand beyond an initial use case.

What changes in a human-agent operating model?

A human-agent operating model reallocates tasks and decision rights, defines accountable owners, redesigns cross-functional workflows, establishes oversight and escalation, develops new capabilities, and aligns measures with end-to-end outcomes.

How should benefits be tracked in agentic AI business transformation?

Benefits should be tied to an explicit value hypothesis, baseline, operational indicators, adoption evidence, risk signals, accountable owner, review cadence, and decisions to continue, adjust, expand, or stop an initiative.

Conclusion

Participants take back an Agentic AI Transformation Roadmap that links outcomes, process opportunities, portfolio sequencing, operating roles, governance, adoption, and benefits. It shifts agentic AI from isolated experiments toward accountable transformation choices. The roadmap supports staged investment, visible dependencies, human ownership, workforce preparation, risk review, and evidence-based scaling.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 41-60 of 76 events
Image Location Dates Duration Mode Price Actions
Tashkent Tashkent Week 15, 2027
18 – 22 April 2027
5 Days Onsite €4,500
Amsterdam Amsterdam Week 16, 2027
19 – 23 April 2027
5 Days Onsite €5,700
Prague Prague Week 18, 2027
3 – 7 May 2027
5 Days Onsite €6,000
Nairobi Nairobi Week 19, 2027
16 – 20 May 2027
5 Days Onsite €4,500
Zoom Zoom Week 20, 2027
17 – 21 May 2027
5 Days Online €1,500
Al Jubail Al Jubail Week 20, 2027
23 – 27 May 2027
5 Days Onsite €5,700
London London Week 21, 2027
24 – 28 May 2027
5 Days Onsite €5,700
Zanzibar Zanzibar Week 21, 2027
30 May – 3 June 2027
5 Days Onsite €5,500
Baku Baku Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €5,000
Dubai Dubai Week 23, 2027
7 – 11 June 2027
5 Days Onsite €4,500
Porto Porto Week 25, 2027
21 – 25 June 2027
5 Days Onsite €5,700
Langkawi Langkawi Week 25, 2027
27 June – 1 July 2027
5 Days Onsite €6,000
Amsterdam Amsterdam Week 26, 2027
28 June – 2 July 2027
5 Days Onsite €5,700
Bali Bali Week 26, 2027
4 – 8 July 2027
5 Days Onsite €5,700
Milan Milan Week 27, 2027
5 – 9 July 2027
5 Days Onsite €5,700
Kuala Lumpur Kuala Lumpur Week 28, 2027
12 – 16 July 2027
5 Days Onsite €5,200
Abu Dhabi Abu Dhabi Week 28, 2027
12 – 16 July 2027
5 Days Onsite €4,700
Kuwait Kuwait Week 29, 2027
25 – 29 July 2027
5 Days Onsite €5,500
Cape town Cape town Week 31, 2027
8 – 12 August 2027
5 Days Onsite €4,500
Tokyo Tokyo Week 32, 2027
9 – 13 August 2027
5 Days Onsite €10,000

Frequently asked questions

What does this course cover?

OverviewAgentic AI Business Transformation and Operating Model Course is a five-day advanced course for transformation directors, operating-model leaders, process owners, enterprise architects, digital strategy teams, and functional executives, who leave with an Agentic AI Transformation Roadmap. Participants map enterprise outcomes, identify agentic proc…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

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