Your MyGPT Work-bench

You now have your very own private MyGPT work-bench.? Build costs were approx $AU35K and its running on a standard $AU12K server supporting 15-50 internal? Users.

You’ve decided to focus on a Project Performance Use Case and decided to implement a “SmartR Projects” solution.? Choosing between all of the many Use Cases has been difficult but Project Delivery has lots or room for improvement.? If project speed and reliability can improve then a MyGPT Workshop and MyGPT Factory will become real possibilities and there will be options for integrating all the other Use Cases that GenAI can deliver.

• Each year your $0.5-$10M business has been starting between 3 and 5 new ICT projects.? Each project has a typical value of about $125K.? Normally projects are planned to improve enterprise productivity, or reduce cost or grow customer revenue by >10-15%.? With a SmartR Projects solution the Project teams can now reliably complete 1 additional project with the same resources.? That’s worth >$80Kpa and is a very smart way to start my GenAI Factory?

Your Private MyGPT Engine

Your private MyGPT was sourced from smartR AI , built by an expert team of highly qualified data scientists and specialist based in Edinburgh.? It was integrated locally in about 1 month with 100hrs of specialist support as a private and secure engine that lives completely inside your own ecosystem.? Its standard key features include:

• Sovereign Privacy and Security - 100% Ownership and Control by you (the private enterprise)
• Super Search - Operates on structured and unstructured data (with image search in beta)
• Superior Data Analysis - Backed with an outputs explanation ledger (so results are never phantom sorcery)
• Strong Data Harvester - Runs ESG compliant automated extraction and clean-up??
• Simple Report Writer- Including automated templates & corporate compliant standards?

Your SmartR Project Use Case

Your “SmartR Projects” solution is now helping PMs and Project leaders with:

Project Planning and Execution by:

• Brainstorming and idea generation.?
• Task prioritisation and scheduling.
• Risk assessment and mitigation.??
• Progress tracking and reporting:?
• Generating status reports, highlighting performance of both the plumbing: schedule, deliverables, risks, scope, resources and budgets etc and also performance of the soft potential areas for improvement.

Communication and Collaboration by:

• Crafting clearer and more concise project communication.?
• Summarising meeting minutes and action items more quickly.

Project Improvement and Learning by:

• Analysing project data and identifying trends.?
• Extracting lessons learned from project retrospectives.
• Generating project knowledge base and FAQs.??
• Creating project documentation and training materials.?

Your Governance Policies

Your chosen Use Case and the fact you're using a Private MyGPT engine very much simplified the requirements for additional security and privacy.? It has been necessary to review and establish robust governance policies and straightforward procedures that ensure the use of the new MyGPT "SmartR Project" tool is responsible, ethical, and unbiased. These new GenAI Policies have specifically addressed:

Data Privacy and Security:?

Project performance data, including emotional maturity assessments, can contain candid and sometimes sensitive personal information. Governance policies have been defined and implemented to ensure that this data is collected, stored, and used securely and ethically, complying with data privacy regulations and protecting individual privacy rights.

Fairness and Bias Mitigation:?

myGPT models are trained on all your data, and there is a risk of perpetuating biases present in the training data. Governance policies mandate fair model development practices, including bias detection and mitigation techniques, to ensure that the model's outputs are unbiased and fair.

Transparency and Explainability:?

Project managers and other stakeholders need to understand how myGPT generates its outputs, especially when it comes to emotional maturity assessments. Governance policies promote transparency by requiring clear documentation of the model's development process, explanations of its outputs, and user education on interpreting the results.

Accountability and Responsibility:?

Governance policies establish clear ownership and accountability for the myGPT application, including data management, model maintenance, and decision-making processes. This ensures that there is a clear path for addressing any potential issues or concerns related to the model's usage.

Trust and Confidence:?

Robust governance policies foster trust and confidence in the myGPT application among project managers and stakeholders. By demonstrating responsible and ethical data handling, fair model development, and transparent decision-making, the organisation can gain trust in the technology's ability to provide valuable insights without compromising privacy, fairness, or accountability.

Your Best Practice Policies

Your enterprise is now applying AI best practice policies ensuring? the private myGPT implementation is? governed responsibly, ethically, and in a way that promotes fairness, transparency, and accountability. This is safeguarding individual privacy and rights and also fostering User trust and confidence in the technology as a tool to help enhance project performance.? The features of this best practice policies include:

The GenAI Charter

A Charter document has been published, baselining the specific goals and intended use of the myGPT application within your organisation. The document? has clearly outlined the scope of data collection, analysis, and output generation to ensure everything is alignment with organisational goals and ethics.

The GenAI Governance Board and Ownership

A dedicated governance team has been formed with expertise in data privacy, ethics, legal compliance, and technology. Their mandate to oversee the development, implementation, and ongoing monitoring of the myGPT application has also been published.??

The Rule Book

Data governance policies have been defined to address any new requirements for data collection, storage, security, access controls, and data usage providing guidelines for GenAI.? Rules to ensure compliance with relevant data privacy regulations, such as GDPR and CCPA.

Bias Detection & Mitigation?

Techniques are in-place for feedback, detection and mitigation of bias throughout the myGPT development process, from data selection to model training and evaluation.? The SmartR Superior Data Analyser allows continuous monitoring of the model's outputs for potential biases and allows adjustments to be made as needed.

Transparency, Understanding, Education & Feedback

Enabled by the MyGPT Data Analyser and Report Writer guidelines are in place to help Users interpret the model's outputs and make informed decisions, allowing them to understand the reasoning behind its outputs.? Channels are in-place for reporting any User concerns and having addressing them promptly by the GenAI Governance Board.

Auditing, Monitoring & Accountability

Roles are defined with ownership and responsibility assigned for the myGPT application's development, deployment, maintenance and change including data management, model governance, and exception response.

CiP and Transformation

Regularly review and updated governance policies and procedures are being undertaken as the myGPT application evolves and new data sources are integrated. The GenAI Workbench is adapting to changing regulations, technological advancements, and user feedback and it is growing into your GenAI Workshop and then into your GenAI Factory

Your Data Integration

You have integrated your myGPT engine with a variety of existing available data sources so the engine will provide comprehensive responses to project performance questions, including emotional maturity, process, and procedures.? The main data sources have been:

Project Data

Project Data including both structured and unstructured information about projects:

Project Documentation:

• Project plans, meeting minutes, status reports, risk assessments, and other formal documents provide insights into project goals, strategies, and decision-making processes.

Task Management Data:

• Task completion dates, issue resolution times, resource utilisation, and other task-related data offer insights into project progress, efficiency, and potential bottlenecks.

Communication Data:?

• Emails, chat transcripts, and other forms of project communication reveal team dynamics, collaboration patterns, and emotional cues related to team interactions.

External Data

External Data Sources including industry-wide reference material and methodologies.

Industry Reports on trends, case studies and lessons.

Best Practices PM Guidelines, Procedures and Practices.

Emotional Intelligence Frameworks and models for assessing emotional maturity and its impact on project outcomes.

Excluded Data

After stakeholder consultations, and to align with enterprise policies and values the decision has been taken to exclude the collection and integration with more personal Team Data such as Performance Reviews or Personality Assessments or Employee Engagement Surveys administered by HR

Your Next Steps

If you’re interested in a private myGPT Starter Pack from smartR AI and want to improve the quality and success of your AI delivery projects please contact Applied EQ Services .? The Starter Pack helps kick-start your GenAI journey with private MyGPT safely. With our coaching and delivery service we help you navigate the journey successfully.? We offer smart solutions and optimise skill sets to deliver a sense of assurance for Business and Project Leaders to confidently conduct the "orchestra" for your own AI projects.