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GEN9282 Mastering AI Agents and Automation for Enterprise Leaders

$197.00
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The Executive Diagnostic and Governance Toolkit

Mastering AI Agents and Automation for Enterprise Leaders

Score your own function red, amber or green, find out which part is weakest, and walk into the next budget round able to defend what you want to fix. Built for leaders reviewing the routing, chasing and re-keying between systems that nobody owns.

$199 one-time
30-day money-back guarantee Verified against latest insights, updated access provided within 24h

Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

What you walk out with
A scored, ranked picture of your own function, and a defensible answer to what to fix first.
1 You stop guessing where you stand.
You finish with a score, not an opinion: every part of your function rated red, amber or green, with the weakest ranked first. Evidence: a Quick Scan for the shape of it, then seven domain assessments of 30 scored questions each, 210 in all, rolled into one scorecard, plus a maturity radar and a current-versus-target gap analysis.
2 You can defend the decision.
You walk into the budget round with the gap named, the owner named and done defined, instead of a case built on instinct. Evidence: project charter, scope statement, RACI, requirements traceability and work breakdown structure, pre-filled in your domain's language.
3 The work actually moves.
The month after the decision is already built, so nothing stalls waiting for someone to design a form. Evidence: more than 60 project templates across all five PMBOK process groups, plus runbooks, SOPs, a KPI framework, audit checklists and a risk matrix. 55 to 65 files in total.
4 You use it the day it lands.
No blank templates to interpret. Every workbook opens with what it is, who uses it, when, how, a 1 to 5 scoring guide, what good looks like, and a worked example you delete and type over.
The Quick Scan is one sitting. You will know your weakest area before the day is out.
Nothing in it is generic project management: the build rejects any file that could belong to another course. Updated after you enrol, so it reflects where the work stands now. The 144-chapter course is included behind it, for the parts you want to go deeper on.
You’re spending more time moving work between systems than doing the work itself.

The situation this is built for

Every day, your teams re-enter data, chase status updates, and route decisions across disconnected platforms. This isn’t inefficiency—it’s structural. The systems don’t talk, so people do. You own the outcome but not the flow. The cost isn’t just time. It’s decision latency, eroded accountability, and burnout from doing work that should be automated. Now, intelligent agents are emerging that can act across systems without human handoffs. The question is no longer if this changes your function—but how you will lead through it.

Who this is for

Senior leaders responsible for end-to-end outcomes in complex, multi-system environments—such as operations, service delivery, customer experience, or internal enablement—where work spans CRM, ERP, ticketing, communication, and document systems.

Who this is not for

Individual contributors looking for technical AI training, vendors selling automation tools, or leaders seeking plug-and-play software solutions.

What you walk away with

  • See the full cost of invisible work across systems
  • Map where agents are already replacing human handoffs
  • Decide what to keep, what to retire, and what to redesign
  • Lead the transition without disrupting core delivery
  • Own the future of work in your domain

How this maps to your situation

  • Diagnose the cost of human-mediated workflows
  • Recognize emerging agentive patterns
  • Redesign work for hybrid execution
  • Lead the transition with governance and clarity

Before vs. after

Before
You manage outcomes while work flows through invisible handoffs, manual re-entry, and fragmented ownership.
After
You lead a designed system where agents handle transitions, humans exercise judgment, and work moves with purpose.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed for completion over 12 weeks with leadership reflection built in.

If nothing changes
Without intervention, your function will absorb growing coordination costs, face rising error rates from manual handoffs, and lose influence as autonomous systems bypass traditional chains of command.

How this compares to the alternatives

Unlike generic AI training or vendor-led automation programs, this course focuses exclusively on the leader’s role in re-owning work. It does not teach coding or promote tools. Instead, it delivers a strategic framework for assessing, designing, and governing agent-supported workflows in complex enterprise environments.

Also included: the full course, for when you want the reasoning behind a finding (12 modules, 144 chapters)

Depth reference. The diagnostic and the templates stand on their own; this is what to read when you want the reasoning behind a finding.

Module 1. The Hidden Cost of Human-Mediated Workflows
Identify the true burden of manual routing, re-keying, and chasing across systems.
12 chapters in this module
  1. Understanding the difference between work and workflow labor
  2. Mapping the time spent moving work versus doing work
  3. Quantifying the cost of decision delays due to system gaps
  4. Recognizing when people become integration layers
  5. Diagnosing where accountability blurs in handoff zones
  6. Tracking the emotional tax of context switching across tools
  7. Identifying shadow processes that compensate for system silence
  8. Assessing the risk exposure in unlogged manual transfers
  9. Measuring the opportunity cost of invisible coordination
  10. Documenting the escalation paths that should not exist
  11. Evaluating the impact of silent data duplication
  12. Benchmarking against peer functions with lower friction
Module 2. Recognizing the Rise of Agentive Behavior
Learn to spot when systems begin to act autonomously on behalf of people.
12 chapters in this module
  1. Defining agentive behavior in enterprise contexts
  2. Distinguishing automation from autonomous action
  3. Identifying signals of emergent agent-like patterns
  4. Observing persistent digital identities across tasks
  5. Tracking systems that anticipate next steps without instruction
  6. Noticing when tools begin to route on their own
  7. Recognizing decision delegation to non-human actors
  8. Detecting memory in digital workflows across time
  9. Assessing when systems start to represent people
  10. Mapping how context is preserved between interactions
  11. Identifying ownership gaps filled by autonomous routines
  12. Logging instances where humans are notified rather than asked
Module 3. The Anatomy of Work That Should Not Exist
Break down the components of avoidable labor created by system misalignment.
12 chapters in this module
  1. Dissecting a typical cross-system task initiation
  2. Tracing the journey of a single request across platforms
  3. Identifying redundant validation steps between systems
  4. Auditing manual reconciliation points in the workflow
  5. Pinpointing where human verification replaces trust
  6. Documenting the creation of intermediary artifacts
  7. Mapping approval chains that exist due to system isolation
  8. Uncovering workarounds disguised as process
  9. Analyzing status update rituals with no system integration
  10. Cataloging the formats and translations required
  11. Identifying points where work stalls awaiting input
  12. Measuring the lifespan of unnecessary deliverables
Module 4. Ownership in a World of Distributed Action
Redefine accountability when work is performed by hybrid human-agent teams.
12 chapters in this module
  1. Rethinking responsibility when agents execute tasks
  2. Defining oversight versus execution in agent-driven workflows
  3. Establishing boundaries for autonomous decision-making
  4. Creating governance for persistent digital actors
  5. Assigning ownership of agent outcomes, not just outputs
  6. Designing escalation protocols for agent-initiated work
  7. Clarifying liability when agents make errors
  8. Building audit trails that reflect hybrid workflows
  9. Ensuring compliance in agent-mediated processes
  10. Maintaining human authority in agent-supported chains
  11. Developing performance metrics for mixed teams
  12. Balancing speed and control in distributed action
Module 5. Mapping the Current State of System Handoffs
Create a detailed picture of where and how work transfers between systems today.
12 chapters in this module
  1. Inventorying all systems involved in core workflows
  2. Charting the entry and exit points of each system
  3. Documenting the triggers for system-to-system transitions
  4. Identifying the formats used in each handoff
  5. Logging the human interventions required at each junction
  6. Assessing the reliability of data passed between systems
  7. Measuring the time between handoff and next action
  8. Noting the exceptions that break standard transfers
  9. Tracing ownership changes across platform boundaries
  10. Evaluating the clarity of status in transition zones
  11. Recording the feedback loops that close handoffs
  12. Benchmarking handoff efficiency across work types
Module 6. Designing the Future of Agent-Augmented Work
Architect workflows where agents handle transitions and humans focus on judgment.
12 chapters in this module
  1. Reimagining task initiation with agent delegation
  2. Designing workflows that assume system interoperability
  3. Defining the role of humans in agent-managed chains
  4. Creating templates for agent-to-agent communication
  5. Establishing rules for autonomous escalation
  6. Building feedback mechanisms into agent actions
  7. Designing for graceful degradation when agents fail
  8. Incorporating human review at strategic points
  9. Developing playbooks for agent behavior patterns
  10. Specifying data fidelity requirements across agents
  11. Planning for continuous agent learning and adaptation
  12. Ensuring alignment with organizational values
Module 7. Governance in the Age of Autonomous Execution
Establish oversight frameworks for agent-driven processes.
12 chapters in this module
  1. Defining the scope of permissible autonomous action
  2. Creating registries for active digital agents
  3. Setting thresholds for human intervention
  4. Establishing change control for agent logic
  5. Designing audit trails that capture agent reasoning
  6. Implementing versioning for agent decision rules
  7. Developing compliance checks for agent outputs
  8. Ensuring data privacy in autonomous workflows
  9. Managing access to agent configuration
  10. Creating rollback procedures for agent errors
  11. Auditing agent performance over time
  12. Aligning agent behavior with regulatory standards
Module 8. Measuring What Matters in Hybrid Workflows
Develop metrics that reflect the performance of human-agent collaboration.
12 chapters in this module
  1. Redefining cycle time in agent-mediated processes
  2. Tracking the reduction in manual handoffs
  3. Measuring decision velocity across hybrid teams
  4. Assessing the accuracy of agent-initiated actions
  5. Evaluating the reliability of autonomous status updates
  6. Quantifying the decrease in reconciliation work
  7. Monitoring the rate of human escalation
  8. Calculating the cost of agent maintenance
  9. Benchmarking agent performance against human peers
  10. Tracking the evolution of agent autonomy over time
  11. Measuring trust in agent recommendations
  12. Evaluating end-user satisfaction with hybrid workflows
Module 9. Leading the Transition Without Disruption
Guide your team through the shift to agent-supported work without sacrificing delivery.
12 chapters in this module
  1. Communicating the purpose of agent integration
  2. Preparing teams for changes in role definition
  3. Managing identity shifts as tasks are automated
  4. Creating forums for team feedback on agent performance
  5. Developing change champions within teams
  6. Phasing agent introduction by risk level
  7. Maintaining transparency during transition
  8. Addressing concerns about job impact directly
  9. Reinforcing the value of human judgment
  10. Celebrating wins in efficiency and focus
  11. Supporting skill development for new responsibilities
  12. Leading by example in using agent outputs
Module 10. Building the Implementation Playbook
Create a living document that guides your organization’s adoption of agent-supported work.
12 chapters in this module
  1. Defining the principles for agent deployment
  2. Establishing criteria for workflow selection
  3. Creating templates for agent behavior specifications
  4. Developing onboarding checklists for new agents
  5. Designing monitoring dashboards for agent health
  6. Building incident response protocols
  7. Documenting escalation paths for agent failure
  8. Creating feedback loops from users to designers
  9. Setting schedules for agent performance reviews
  10. Incorporating lessons from pilot implementations
  11. Planning for agent retirement and replacement
  12. Maintaining version history of playbook updates
Module 11. Scaling Agent Integration Across Functions
Extend agent-supported workflows beyond pilot teams to broader operations.
12 chapters in this module
  1. Identifying transferable agent patterns
  2. Assessing readiness of other functions for integration
  3. Creating cross-functional agent governance
  4. Standardizing agent communication protocols
  5. Developing shared agent repositories
  6. Establishing center of excellence for agent design
  7. Creating certification for agent developers
  8. Building training programs for agent management
  9. Scaling monitoring and oversight capacity
  10. Harmonizing metrics across implementations
  11. Managing dependencies between agent teams
  12. Ensuring consistency in user experience
Module 12. Owning the Future of Work in Your Domain
Take definitive leadership in shaping how work gets done with intelligent agents.
12 chapters in this module
  1. Articulating your vision for agent-augmented work
  2. Defining the boundaries of human and agent responsibility
  3. Setting strategic priorities for agent development
  4. Aligning agent initiatives with business goals
  5. Engaging peers in cross-domain agent strategies
  6. Advocating for investment in agent infrastructure
  7. Shaping organizational policy on autonomy
  8. Mentoring emerging leaders in agent governance
  9. Contributing to industry standards for agent ethics
  10. Measuring the long-term impact of agent adoption
  11. Revising leadership practices for hybrid teams
  12. Leaving a legacy of intentional transformation

Frequently asked

Who is this course for?
Senior leaders responsible for end-to-end outcomes in environments where work spans multiple systems and requires human coordination to bridge gaps.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover specific AI tools or platforms?
No. The course focuses on the nature of work, not technology vendors or products.
Will I receive practical resources?
Yes. Each module includes downloadable templates and worked examples, plus a hand-built implementation playbook delivered with course access.
Can I implement this across my organization?
Yes. The course prepares you to lead adoption, scale practices, and build governance for agent-supported work across functions.
What formats do the templates come in?
The implementation playbook downloads as PDF and editable XLSX. The course reads in your learning environment and exports to PDF for offline use. The files are yours to keep.
Can I share this with my team?
The licence is per person. Team pricing opens from three seats: reply to the order confirmation with TEAM and we will set it up.
How quickly can I start?
The diagnostic is one sitting and the templates work straight out of the kit. Account access takes up to 24 hours rather than being instant, because every order is checked and updated against the latest sources before it is delivered.
$199 one-time. Approximately 3 hours per module, designed for completion over 12 weeks with leadership reflection built in..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee·Know your weakest area today·210 scored questions·Course included· Account access within 24 hours
30-day money-back guarantee, no questions asked.
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