Comprehensive Your AI Strategy Consulting Initiative Program

 

Aiding initiative owners, stakeholders and implementing teams manage their entire Generative AI adoption strategy

Exploit Generative AI technology to drive greater operational efficiency or create new offerings, Monetical digital consulting self-service has the expertise to support you on this journey.

 

Generative AI Solutions

  • Business Operations Automation & Modernisation

  • Create a differentiated Customer Services Experience

  • Create an Hybrid Cloud Capability

  • Optimise Cyber Security to Dramatically Reduce Risk

  • Design, Develop and Optimise the Software & IT Life Cycle

  • Bring world-class New Products to the Market

Business Operations Automation & Modernisation

  • Tie investments to operational and commercial benefits

  • Consolidate IT Infrastructure

  • Create intelligent business processes

  • Integrate governance practices

  • Design-out human interaction

Create a differentiated Customer Services Experience

  • Empower the customer experience at every potential touch point with your business

  • Deploy intelligent self-services using chatbots and querying solutions

  • Expand your customer intelligence

Create an Hybrid Cloud Capability

  • Create a dynamic technology capability to deal with rapid and unpredictable demand

  • Invest in the right scaling infrastructure as the business requires

  • Return internal resources on core competencies

Optimise Cyber Security to Dramatically Reduce Risk

  • Risk assessment and operational performance reporting

  • Operational resilience

  • Business operations mitigation and continuity

  • Application and data protection

Design, Develop and Optimise the Software & IT Life Cycle

  • Auto-requirements authoring tools helping product owners create and management their product backlogs

  • Enable teams to discover risks and issues associated with the implementation of their product backlog items

  • Design and execute complext test scenarios

Bring world-class New Products to the Market

  • Exploit vast quantities of data to identify and optimum the operational strategy

  • Identify duplication and conflict across multiple manufacturing processes

  • Marketing campaigns and sales material

  • Digitise common manual and administrative tasks

Generative AI Adoption Strategy

 

Prepilot (Discovering where the opportunities lie)

Discovering the scope of the pilot that is shaped by the value and aims of the enterprise digital transformation strategy and the GEN AI business case.

1-2months (Technology and competency validation)

Identify and appoint resources based on the competencies needed to meet the ‘no regrets’ Pilot OKRs. Establish proof of concepts and validate competencies.

2-6months (Transition to production)

Transition to production consists of committing the implementation of production quality use cases, which incorporates robust performance evaluation alongside the application of an ethical monitoring strategy.

6-12months (Scaling the operation across the enterprise)

Scale the value created by the first production Generative AI solution through the implementation of additional use cases and optimising both its ethical capabilities.

Key Activities and Deliveries

 

Prepilot (ideation)

Assess Product Management Readiness (ensuring PMO are ready to take on the challenge)

Pilot Selection Criteria (mapping strategic aims to initiative use cases)

Use Case Selection (High-value business opportunities)

Team Design & Management (competency led team membership identification & appointment)

Data Audit & Definition (identification, consolidation & standards)

Large Language Model Evaluation (Gemini, GPT-4, OpenAI)

AI Model Mapping (chat, augmented generated content, knowledge summarisation & text to image generation)

Committee Formation (ethics, data & quality assurance)

Technology Suppliers & Partners Engagement

Ethical Discovery & Governance Design (mandate alignment training data, testing strategy)

User Introduction & Capability Uplift (prompt engineering & Ethics)

1-2months (validation)

Qualitative Initiative OKRs (data-driven decision-making)

Early Adopter Engagement (customer centricity and engagement)

Pilot Team Launch (kick off and short-term goals)

Value Stream Influenced Capabilities (OKR determined requirements)

Technology Provisioning (procurement, on-demand capacity & licensing)

Data Governance & Standards (managing data quality)

Vector Database Evaluation

Implementation Cadence (ways of working adoption)

Agent-Oriented Framework Analysis

API & External Database Access Selection

Communication Strategy (stakeholder identification, engagement & methodology)

Ethical Governance Adoption (ethics & reporting)

Security & Quality Assurance Strategy (DevSecOps & cadence methodology)

2-6months (transition)

Value Creation Delivery (WoW to deliver frequently & often)

Value Creation Assessment (continuous evaluation of ROI and business enablement)

Capability uplift (Team/Customer) (Creating enterprise competency and durability)

DevSecOps Adoption (streamline operations)

Best Practice Identification (constant inspection & adaption)

Team Velocity & Performance (maintaining a steady pace of work)

Stabilise Data Foundation (transformation, tracibility and consolidation)

Scale-out Feature Strategy (proven technology before complexity)

Stakeholder Oversight (constant reflection and adjustment)

Lean Delivery Management (always delivering the highest value)

Use Case Product Backlog Constant Prioritisation

Escalation & Risk Management Practices

6-12months (scale)

Enterprise-wide Ways of Working Framework

Capability Uplift & Expansion

Generative AI Scale-out

Ethical Oversight & Adjustment

Optimising UI/UX Design (Command Prompt Engineering)

Infrastructure Optimisation

Data Standards Publication

Security & Quality Assurance Management

Financial Assessment & Adjustments

Decommission Strategy & Schedule