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GEN3099 AI Agents and Automation for Senior Leaders

$199.00
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The Executive Diagnostic and Governance Toolkit

AI Agents and Automation for Senior 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.
The work that keeps your organization moving doesn’t happen in one system—it happens in the gaps between them.

The situation this is built for

Every day, critical tasks fall into the space between systems. Tickets get stuck. Approvals loop. Data gets re-entered manually. No single team owns it. No dashboard shows it. But the work gets done—often by people chasing, re-keying, and routing information across silos. Now, AI agents are doing this work too, quietly, without documentation or oversight. You’re left wondering: What’s automated? What’s not? Who’s responsible? And if you don’t act, will this work evolve beyond your influence?

Who this is for

Senior leaders responsible for cross-functional operations, workflow integrity, and service delivery across multiple systems and teams. You don’t code, but you own outcomes.

Who this is not for

Individual contributors building automation scripts, developers implementing AI agents, or technical founders creating automation tools. This is not a coding course.

What you walk away with

  • Map the full lifecycle of cross-system work in your domain
  • Identify where AI agents are already operating without governance
  • Assess risk exposure from unmanaged automation activities
  • Define ownership and control frameworks for agent-driven tasks
  • Build a strategic response to automation that preserves accountability

How this maps to your situation

  • Diagnose current state of cross-system work
  • Assess automation presence and risk
  • Define ownership and governance structures
  • Lead organizational adaptation to hybrid workflows

Before vs. after

Before
Work slips through the cracks between systems. Automation happens in the shadows. You’re reactive, informed too late, and accountable for outcomes you can’t see.
After
You map, govern, and lead the work between systems. Automation is visible, accountable, and aligned. You direct the transition with confidence and control.

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
If you don’t act, unmanaged AI agents will become the de facto operators of critical workflows. You’ll lose visibility, accountability, and control—while remaining responsible for failures.

How this compares to the alternatives

Unlike vendor-led training or technical certifications, this course focuses exclusively on leadership decisions, governance models, and organizational alignment for AI-driven workflows. It does not teach coding, prompt engineering, or platform-specific automation tools.

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. Understanding the Work Between Systems
Define the nature of cross-system tasks that resist ownership and resist visibility.
12 chapters in this module
  1. Identifying tasks that move between software platforms
  2. Mapping where manual data transfer still occurs
  3. Recognizing the signs of undocumented workflow paths
  4. Distinguishing owned processes from orphaned activities
  5. Tracing how exceptions bypass formal systems
  6. Documenting the human effort behind system gaps
  7. Analyzing where re-keying creates delay and error
  8. Classifying types of inter-system dependencies
  9. Spotting patterns in repeated follow-up actions
  10. Measuring the time spent on coordination overhead
  11. Understanding why no team claims certain tasks
  12. Establishing a baseline for invisible work volume
Module 2. The Rise of Autonomous Agents in Daily Work
Recognize how AI agents are already performing routine coordination tasks without formal deployment.
12 chapters in this module
  1. Observing agent behavior in ticket resolution flows
  2. Detecting automated responses in customer service logs
  3. Tracking unsupervised data synchronization between platforms
  4. Identifying AI-generated follow-up messages in email chains
  5. Noticing patterns in approval escalations handled by bots
  6. Reviewing audit trails for non-human account activity
  7. Assessing frequency of agent-initiated system updates
  8. Differentiating between rule-based automation and AI agents
  9. Monitoring for unsanctioned agent integrations
  10. Evaluating consistency in agent-driven task completion
  11. Documenting agent decision points in multi-step workflows
  12. Cataloging agent interactions across departmental boundaries
Module 3. Diagnosing the Current State of Automation
Audit existing automation to determine what is governed, shadowed, or emergent.
12 chapters in this module
  1. Creating an inventory of known automation tools
  2. Interviewing team leads about unreported bot usage
  3. Reviewing system access logs for non-human actors
  4. Mapping which workflows include unattended steps
  5. Identifying gaps where automation should exist but doesn’t
  6. Assessing reliability of automated handoffs between systems
  7. Evaluating accuracy of AI-rekeyed data entries
  8. Checking for version drift in automated scripts
  9. Validating whether agents follow compliance rules
  10. Auditing agent actions against service level expectations
  11. Documenting instances where agents fail silently
  12. Benchmarking automation performance across business units
Module 4. Assessing Risk in Agent-Driven Workflows
Evaluate exposure from unmanaged automation in terms of compliance, security, and operational continuity.
12 chapters in this module
  1. Identifying data privacy risks in agent-mediated transfers
  2. Reviewing access controls for bot accounts
  3. Assessing potential for data leakage via automation
  4. Evaluating auditability of agent decision trails
  5. Determining liability for agent-caused errors
  6. Testing resilience when agents go offline
  7. Analyzing impact of incorrect agent assumptions
  8. Reviewing agent adherence to regulatory requirements
  9. Mapping escalation paths when agents fail
  10. Assessing dependency on third-party AI models
  11. Evaluating risk of undetected automation bias
  12. Documenting single points of failure in agent networks
Module 5. Defining Ownership of Cross-System Tasks
Establish clear accountability for work that spans organizational and technical boundaries.
12 chapters in this module
  1. Clarifying responsibility for end-to-end task completion
  2. Assigning oversight for hybrid human-agent workflows
  3. Creating RACI matrices for inter-system processes
  4. Defining escalation paths for agent-caused delays
  5. Setting expectations for monitoring agent performance
  6. Establishing governance for multi-departmental automation
  7. Identifying who approves new agent deployments
  8. Determining who resets failed agent tasks
  9. Setting standards for agent behavior documentation
  10. Defining ownership of agent training data
  11. Creating accountability for agent error correction
  12. Establishing review cycles for agent activity logs
Module 6. Measuring the Impact of Invisible Work
Quantify the cost and value of coordination tasks that fall outside standard metrics.
12 chapters in this module
  1. Estimating hours spent on manual system bridging
  2. Calculating error rates in re-keyed data entries
  3. Tracking resolution time for cross-system tickets
  4. Measuring frequency of follow-up messages per task
  5. Assessing customer impact from delayed handoffs
  6. Quantifying rework caused by automation errors
  7. Estimating opportunity cost of untracked labor
  8. Benchmarking against industry standards for coordination
  9. Analyzing cost of delays in approval chains
  10. Measuring variance in task completion times
  11. Evaluating consistency of agent-driven outcomes
  12. Calculating total coordination burden per workflow
Module 7. Designing Human-Governed Automation Frameworks
Build structures that ensure automation serves organizational goals, not just efficiency.
12 chapters in this module
  1. Setting principles for ethical agent behavior
  2. Designing oversight mechanisms for autonomous tasks
  3. Creating feedback loops from agents to humans
  4. Establishing thresholds for human intervention
  5. Defining agent decision boundaries by risk level
  6. Building audit requirements into automation design
  7. Requiring documentation for every agent action
  8. Designing agent handoff protocols between teams
  9. Setting standards for agent transparency
  10. Creating version control for agent logic updates
  11. Incorporating compliance checks into agent workflows
  12. Designing agent retirement procedures
Module 8. Building Cross-Functional Alignment
Align teams around shared understanding and joint ownership of automation outcomes.
12 chapters in this module
  1. Convening cross-system workflow councils
  2. Facilitating workshops on inter-team dependencies
  3. Creating shared definitions of task success
  4. Establishing common metrics for handoff quality
  5. Building joint accountability agreements
  6. Designing inter-departmental escalation paths
  7. Synchronizing system update schedules
  8. Creating shared automation playbooks
  9. Aligning incentives across functional boundaries
  10. Developing joint training for hybrid workflows
  11. Establishing cross-team review of agent logs
  12. Building shared dashboards for workflow visibility
Module 9. Implementing Governance for Autonomous Agents
Create policies and practices that ensure automation remains accountable and aligned.
12 chapters in this module
  1. Creating agent registration and approval processes
  2. Requiring impact assessments before deployment
  3. Establishing agent monitoring standards
  4. Setting up agent audit trails and logging
  5. Defining agent decommissioning procedures
  6. Creating change control for agent updates
  7. Requiring documentation for agent decision logic
  8. Setting access controls for agent accounts
  9. Enforcing code review for agent scripts
  10. Implementing agent behavior testing protocols
  11. Creating incident response plans for agent failures
  12. Establishing compliance validation cycles
Module 10. Creating Visibility into Automation Activity
Ensure that agent-driven tasks are observable, traceable, and reportable.
12 chapters in this module
  1. Designing dashboards for agent activity monitoring
  2. Creating centralized logs for cross-system tasks
  3. Implementing alerting for agent anomalies
  4. Building audit trails for data movement paths
  5. Tracking agent decision points in workflows
  6. Generating reports on automation success rates
  7. Mapping agent interactions across systems
  8. Creating real-time status views for hybrid tasks
  9. Establishing KPIs for agent performance
  10. Developing anomaly detection for agent behavior
  11. Publishing automation transparency reports
  12. Creating agent activity scorecards for leadership
Module 11. Developing Strategic Response Options
Formulate leadership responses to automation that range from containment to transformation.
12 chapters in this module
  1. Assessing readiness for formal automation programs
  2. Evaluating risks of allowing emergent automation
  3. Designing pilot programs for governed agents
  4. Creating roadmaps for workflow modernization
  5. Determining when to standardize versus innovate
  6. Building business cases for automation investment
  7. Planning organizational changes for hybrid workflows
  8. Setting priorities for system integration
  9. Deciding where to centralize automation oversight
  10. Identifying quick wins in coordination efficiency
  11. Balancing speed and control in automation rollout
  12. Aligning automation strategy with service goals
Module 12. Leading Through the Transition to Hybrid Workflows
Guide your organization through the shift to human-agent collaboration with clarity and control.
12 chapters in this module
  1. Communicating changes in task ownership to teams
  2. Preparing staff for hybrid workflow roles
  3. Managing resistance to automation oversight
  4. Reframing agent governance as service improvement
  5. Providing training on interacting with agents
  6. Setting expectations for human oversight
  7. Celebrating improvements in workflow reliability
  8. Recognizing staff who adapt to hybrid models
  9. Establishing feedback channels for workflow issues
  10. Updating role descriptions to include agent coordination
  11. Measuring leadership effectiveness in transition
  12. Creating rituals for reviewing automation evolution

Frequently asked

Who is this course for?
Senior leaders responsible for cross-functional operations, service delivery, and workflow integrity across multiple systems and teams.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need technical skills to benefit?
No. This course is designed for leaders who own outcomes, not for those building automation tools.
What will I have at the end?
A clear assessment of your current automation landscape and a tailored plan for governance and leadership.
Is there a money-back guarantee?
Yes. 30-day money-back guarantee if the course does not meet your expectations.
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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