AI Governance Toolkit

Save time, empower your teams and effectively upgrade your processes with access to this practical AI Governance Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any AI Governance related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated AI Governance specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the AI Governance Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.


Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…


• Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation


Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which AI Governance improvements can be made.

Examples; 10 of the 999 standard requirements:


1. How is the changing approach to environmental regulation likely to affect the pattern of demand for environmental services and hence the structure of the environmental services industry?
   
   

2. What other policies should you consider to set clear minimum cybersecurity expectations, increase transparency and disclosure, and protect the rights consumers?
   
   

3. Is there a designated team for data collection, validation, storage, governance, security and accountability structures across the entire data supply chain?
   
   

4. Is your new web application compliant with relevant data protection regulations covering the information it is collecting and the locations of the users?
   
   

5. How will you assess and mitigate ways in which systemic and human bias may influence the design, development, and deployment of the AI system?
   
   

6. What targeted communications and training activities will be used to build awareness and enable effective implementation of the policy?
   
   

7. Is the idea of creating a centralised data entity to enable sharing of information that can be collected by distributed sources?
   
   

8. How will you analyze and follow or implement relevant or desired AI and data standards, policies, principles, and guidance?
   
   

9. How can an AI use the pre defined ethical guidelines to conduct an ethical check autonomously without any human support?
   
   

10. How does the balance between structure and flexibility change when a small software development organization grows?
    
    


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:


• The workbook is the latest in-depth complete edition of the AI Governance book in PDF containing 999 requirements, which criteria correspond to the criteria in...


Your AI Governance self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:


• The Self-Assessment Excel Dashboard; with the AI Governance Self-Assessment and Scorecard you will develop a clear picture of which AI Governance areas need attention, which requirements you should focus on and who will be responsible for them:
  
  


• Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix

• Gives you a professional Dashboard to guide and perform a thorough AI Governance Self-Assessment

• Is secure: Ensures offline data protection of your Self-Assessment results

• Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:



STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage AI Governance projects with the 62 implementation resources:


• 62 step-by-step AI Governance Project Management Form Templates covering over 1500 AI Governance project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Procurement Audit: Is there a policy on purchasing from users of organization products?
   
   

2. Procurement Management Plan: Are vendor invoices audited for accuracy before payment?
   
   

3. Procurement Audit: Does the cash disbursement policy prohibit drawing checks to cash or bearer?
   
   

4. Initiating Process Group: Do you know if the AI Governance project requires outside equipment or vendor resources?
   
   

5. Risk Audit: Does your organization meet the terms of any contracts with which it is involved?
   
   

6. Project or Phase Close-Out: What is the information level of detail required for each stakeholder?
   
   

7. Lessons Learned: How adequately involved did you feel in AI Governance project decisions?
   
   

8. Change Management Plan: Does this change represent a completely new process for your organization, or a different application of an existing process?
   
   

9. Risk Register: Technology risk -is the AI Governance project technically feasible?
   
   

10. Change Management Plan: Have the business unit contacts been briefed by the AI Governance project team?


 
Step-by-step and complete AI Governance Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 AI Governance project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 AI Governance project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 AI Governance project Scope Statement

• 2.7 Assumption and Constraint Log

• 2.8 Work Breakdown Structure

• 2.9 WBS Dictionary

• 2.10 Schedule Management Plan

• 2.11 Activity List

• 2.12 Activity Attributes

• 2.13 Milestone List

• 2.14 Network Diagram

• 2.15 Activity Resource Requirements

• 2.16 Resource Breakdown Structure

• 2.17 Activity Duration Estimates

• 2.18 Duration Estimating Worksheet

• 2.19 AI Governance project Schedule

• 2.20 Cost Management Plan

• 2.21 Activity Cost Estimates

• 2.22 Cost Estimating Worksheet

• 2.23 Cost Baseline

• 2.24 Quality Management Plan

• 2.25 Quality Metrics

• 2.26 Process Improvement Plan

• 2.27 Responsibility Assignment Matrix

• 2.28 Roles and Responsibilities

• 2.29 Human Resource Management Plan

• 2.30 Communications Management Plan

• 2.31 Risk Management Plan

• 2.32 Risk Register

• 2.33 Probability and Impact Assessment

• 2.34 Probability and Impact Matrix

• 2.35 Risk Data Sheet

• 2.36 Procurement Management Plan

• 2.37 Source Selection Criteria

• 2.38 Stakeholder Management Plan

• 2.39 Change Management Plan


3.0 Executing Process Group:


• 3.1 Team Member Status Report

• 3.2 Change Request

• 3.3 Change Log

• 3.4 Decision Log

• 3.5 Quality Audit

• 3.6 Team Directory

• 3.7 Team Operating Agreement

• 3.8 Team Performance Assessment

• 3.9 Team Member Performance Assessment

• 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:


• 4.1 AI Governance project Performance Report

• 4.2 Variance Analysis

• 4.3 Earned Value Status

• 4.4 Risk Audit

• 4.5 Contractor Status Report

• 4.6 Formal Acceptance


5.0 Closing Process Group:


• 5.1 Procurement Audit

• 5.2 Contract Close-Out

• 5.3 AI Governance project or Phase Close-Out

• 5.4 Lessons Learned


Results

With this Three Step process you will have all the tools you need for any AI Governance project with this in-depth AI Governance Toolkit.

In using the Toolkit you will be better able to:


• Diagnose AI Governance projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

• Implement evidence-based best practice strategies aligned with overall goals

• Integrate recent advances in AI Governance and put process design strategies into practice according to best practice guidelines


Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make AI Governance investments work better.

This AI Governance All-Inclusive Toolkit enables You to be that person.

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.