Value alignment

Inspire and align the top team

  • Build a shared understanding of Tech & AI
  • Agree the business vision and leadership commitments

Set the ambition for value capture

  • Set a top-down aspiration for business and financial outcomes
  • Align on the business model’s economic leverage points

Prioritise business domains

  • Select a small number of domains by value potential and feasibility
  • Appoint accountable business domain owners

Domain-to-value delivery life cycle (DVD)

REWIRED

Domain reimagination

  • Define the problem and reimagine end-to-end processes
  • Develop the future-state roadmap of solutions and use cases
  • Assess technology, data, benefits and investments; plan implementation

CRISP-DM

Business Understanding

  • Determine business objectives and success criteria
  • Assess resources, constraints and project risks
  • Define data-mining goals and a project plan

REWIRED

Solution discovery

  • Research user needs and process pain points
  • Assess technical feasibility and validate potential value
  • Develop the solution concept and plan the proof of concept

CRISP-DM

Business Understanding + Data Understanding

  • Refine business objectives and data-mining goals
  • Collect, describe and explore initial data
  • Verify data quality

REWIRED

Proof of concept

  • Build a working prototype through rapid build-test-learn iterations
  • Test feasibility and gather user feedback
  • Establish value proof points

CRISP-DM

Data Preparation + Modeling + Evaluation

  • Select, clean, construct, integrate and format data
  • Select modeling techniques, design tests and build models
  • Assess models; evaluate results against business objectives

REWIRED

Production

  • Develop the solution architecture and system interfaces
  • Build a secure, scalable solution iteratively
  • Test reliability and performance

CRISP-DM

Evaluation + Deployment

  • Evaluate results against business success criteria
  • Review the process and decide next steps
  • Plan deployment, monitoring and maintenance where needed

REWIRED

Adoption and scaling

  • Embed the solution into daily workflows
  • Train users and address adoption barriers
  • Monitor usage and realised value before wider rollout

CRISP-DM

Deployment

  • Put project results into use
  • Monitor and maintain ongoing applications where needed
  • Produce the final report and review the project

Delivery capabilities

Talent

  • Upskilled business leaders
  • Density of engineering talent
  • Technical career paths

Operating model

  • Cross-functional teams
  • Clear decision rights
  • Business domain and platform ownership

Technology

  • Reusable technology platforms
  • Modern software engineering
  • Distributed innovation

Data

  • Unified and easy-to-consume data
  • Reusable data products
  • Federated data governance

Change management

Adoption and scaling

  • End-to-end process reconfiguration
  • Solutions architected for enterprise-wide scaling
  • Impact measurement anchored in business KPIs