Assessment Index

Establish a World-class AI Ethical Strategy

Discover the quality of your organisations current AI Ethical Strategy and its associated working practices and guidelines. Each assessment is backed by a wealth of consulting advice gauranteed to optimising the entire AI strategy life cycle.

People Engagement & Responsibilities (defied Ethical ownership, cross-discipline initiative team, maintaining human involvement, & fairness and reduce unintentional biases feedback)
Knowledge & Information Systems (policies & practices communicated & understanding is measured, transparency policy adoption of AI algorithms design, ownership, implementation)
Operational Processes & Systems ( legal liabilities & regulatory penalties & monitoring the AI system's performance and ethical alignment)
Quality & Efficiency of Communication (transparency, reliability, fairness metrics & continuously monitoring for performance & ethical alignment)
Technology & Governance Performance (accountability & traceability governance, strict data protection, & safeguards against the generation of harmful content)

Optimised Enterprise Agility in an Era of Constant Change

Capability assessments spanning the core activities and capabilities present in any efficient enterprise agility organisation. Enabling Agile Coaches and Scrum Masters to quickly identify current challenges and develop a capability uplift plan.

Team Health Check
Leadership Style
Agile Ways of Working
Tuckman Group Development

Agile Adoption Strategy Assessment
Individual Readiness
Agile Twelve Principles
Organisational Assessment

Empowering Product Management to Lead the Generative AI Lifecycle

Baseline, then optimise the the organisation Product Management Office's (PMO) is as it embarks on its Generative AI journey. Measuring both Technical and Commercial critical success factors.

Technology Readiness Assessment covers the following core characteristics of the initiative: foundation & LLM, ethical capabilities and data governance, privacy and security factors, human oversight and technical capabilities.

Commercial Readiness Assessment covers the following core characteristics of the initiative: AI ethics & regulation, AI initiative OKR & KPI, AI Stakeholders, AI post deployment and AI use cases.

Assessment: Generative AI PMO Commercial Readiness Assessment

Session Name: Provide a short description, e.g. The Operational AI Baseline Readiness

Session Owner: Select the appropriate name from the pick list

Assessment Checkpoint: Use the calendar pick list to choose a year/month

Assessment Feedback Format: Individual or Group: Select the appropriate preference for capturing feedback

Session Review Date & Time: Use the calendar pick list to choose a date/time when the Team will to come together to review the feedback

Leverage the connection to a library of the industry’s largest repository of recommended performance improvement measures (Open Stories) designed to help you become a truly Agile organisation by guiding you through the adoption of 'Agile Ways of Working' best practices.

Use Monetical.Agile to measure periodically measure Agile maturity.

Solicit responses from individuals or via a group discussion, each collection of assessment questions are clearly and concisely presented.

Individual Responses

Invitations are sent by email
Clear and concise questions and response options
Participants respond anonymously, in their own time
Discrete response data for easy analysis

Consolidated Assessment Response Index

The team’s responses are collated into a single view: organised into common themes and colour coded to highlight performance challenges and suggested areas of development.