Save time, empower your teams and effectively upgrade your processes with access to this practical AI innovation Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any AI innovation 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 innovation specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the AI innovation 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 994 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 innovation improvements can be made.
Examples; 10 of the 994 standard requirements:
- Are you using social technology to engage your customers and the influencers, to encourage your employees to collaborate more efficiently, and to enhance your business partner relationships?
- Do business leaders understand the full range of the responsibilities, and has the regulatory environment kept pace with the changing reality of health and wellness provision?
- Can automated speech recognition and natural language understanding and dialogue management work well enough to facilitate a good user experience?
- How often is the cybersecurity of physical security solutions/services a consideration with potential customers and end users?
- What are the potential impacts of the pandemic and economic recession on auto insurance pure premiums in the next year?
- What are/were the key reasons driving your organization towards the migration to a cloud computing infrastructure?
- Does your organization compiling the data and doing the analytics have a direct relationship with the consumer?
- Will adopting a workflow automation solution require your organization to rip and replace existing systems?
- What are the most effective steps that your organization is taking to improve public safety and security?
- Does the association have a pricing policy in place, including the use of subsidies for certain products?
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 innovation book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your AI innovation 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 innovation Self-Assessment and Scorecard you will develop a clear picture of which AI innovation 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 innovation 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 innovation projects with the 62 implementation resources:
- 62 step-by-step AI innovation Project Management Form Templates covering over 1500 AI innovation project requirements and success criteria:
Examples; 10 of the check box criteria:
- Procurement Audit: Are reports based on sound data available to the already stated responsible for monitoring the performance of contracts?
- Scope Management Plan: Has a provision been made to reassess AI innovation project risks at various AI innovation project stages?
- Procurement Audit: Is the performance of the procurement function/unit benchmarked with other procurement functions/units in the different stages of the procurement process?
- Project Schedule: Your AI innovation project management plan results in a AI innovation project schedule that is too long. If the AI innovation project network diagram cannot change and you have extra personnel resources, what is the BEST thing to do?
- Human Resource Management Plan: Are issues raised, assessed, actioned, and resolved in a timely and efficient manner?
- Procurement Audit: Does the department have a procurement strategy and is it implemented?
- Risk Management Plan: Risk documentation: what reporting formats and processes will be used for risk management activities?
- Procurement Audit: Was the chosen procedure the most efficient and effective for the performance of the contract?
- Stakeholder Management Plan: Does the resource management plan include a personnel development plan?
- Procurement Audit: Are order quantities, deliveries and payment levels under the contract monitored by an appropriate official?
Step-by-step and complete AI innovation Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 AI innovation project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 AI innovation 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 innovation 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 innovation 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 innovation 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 innovation 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 innovation project with this in-depth AI innovation Toolkit.
In using the Toolkit you will be better able to:
- Diagnose AI innovation 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 innovation 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 innovation investments work better.
This AI innovation 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.
