First 12months of Your GEN AI Enablement
Prepilot
Your ‘no regrets’ pilot kicks off with an ideation Design Thinking session. Discovering the scope of the pilot that is shaped by the value and aims.
1-2months
Identify and appoint resources based on the competencies needed to meet the Pilot OKRs. Establish proof of concepts and validate competencies.
2-6months
Transition pilot use case to production, as the team embarks on a robust performance evaluation and ethical monitoring strategy.
6-12months
Scale value created by the GEN AI initiative through the implementation of additional use cases and optimising both its ethical capabilities.
Organisational Design
GEN AI Pilot Team (Prototyping Use Case #1)
Light customisation of the Client’s own data. Focus on a specific low-risk Use Case . Update the pre-trained models as part of an iterative process.
Team consisting (minimum): Product Owner, Data Specialist/Scientist, Automation SME, Governance SME and a Hardware Specialist
Centre of Excellence: Infrastructure & Ops Provisioning
Ensuring the provisioned infrastructure is capable of meeting the high demand of the use cases and the COE establishing good practices prior to scale-out. Including, where needed cloud infrastructure to meet variable processing demand.
Centre of Excellence: Data Integrity & Governance
Dedicated COE that is responsible for constantly evolving the organisations regulatory defintion in response to the performance of the pilot.
Ensuring trust, unbiased, fairness, explainability of the GEN AI solution.
An iterative approach enables the models to reflect the constantly changing technology landscape and ensuring strong data rules.
Ethics committee
Form a committee that holds responsibility for ensuring organisational and regional GEN AI mandates are applied. Achieved through establishing three core practices:
Methodology - Publish tools and practices for that must be adhered through the GEN AI life cycle.
Adoption - Over see the introduce of these methodologies across the organisation.
Governance - Continually evaluate how the core practices are being adopted and provide guidance where improvements are required.
Discovery to Value Creation
Creativity Potential
Discover the true potential of GEN AI
rapidly verify new concepts and assumptions in a controlled manner.
Identify and exploit previously unforeseen potential of Gen AI technology
focused and rapid research cycles strengthen a business case
shaping a clear implementation path towards a healthy return on investment
validate the suitability of its current competencies, processes, and tools prior to scale-out
Validation Efficiencies
Rapidly validate new ideas and concepts
quickly validate both technical and commercial capabilities for Gen AI implementation and
Ensure suitable solutions are found to ethical factors and challenges as part of
Constantly capture and analysis customer feedback across data, automation, usability and ethical factors
Ensure the team employs a tight governance and financial management
Continuous and Incremental Value Creation
Lean development life cycle
A clear and prioritisation mechanism
Accelerate GEN AI return on investment
Quickly securing market share generates income earlier
Constantly adapt the ways of working to meet the capabilities of:
GEN AI technology
internal capabilities
external landscape as appropriate
Critical Success Factors
Product Backlog (baseline)
Foundation and LLM selection
Establish Ethics & Governance Committees
Pilot Objectives. & Key Results
Stakeholder Management
DevSecOps Strategy
Communication Plan
Colocation Space (Teams & Squads) Provisioning
Value Creation Life Cycle
Early Value Realisation & Technology Suitability
Validation Efficiencies
Continuous Investment in a Lean delivery cycles
Team capability & engagement
Suitable & accurate KPIs
Creativity potential & risk tolerance
The Generative AI Product Ownership Readiness Assessment is designed to enable Product Owner and Product Management who are embarking on their initial GE AI Pilots discover what further change activities are required for a successful exploitation of Generative AI technology as part of a digital transformation.
GEN AI Commercial Readiness for Product Management
The MONETICAL GEN AI 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.
GEN AI Technology Readiness for Product Management
The MONETICAL GEN AI 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.
Once completed Product Owners and Product Management communities are presented with a series of performance improvement recommendations. These recommendations take the form of a Feature and associated User Stories, which when implemented are sure to increase the success of the initiative Pilot.