AI Transformation services prepare for AI use case integration into business operations – at scale and with high use case versatility. These services are designed to help our customers to achieve AI at Scale with tens of AI use cases embedded in all aspects of value creation.
Once integrated in business operations, AI use cases provide higher customer value, improved customer experience and enhanced operational efficiency.
AI Transformation services consist of three distinct services:
- Constraints Assessment – To analyze AI Use Case integration bottlenecks
- Use Case Assessment – To discover high-impact AI Use Cases themselves
- Integration Assessment – To assess AI Use Case integration requirements
This service Trio is aimed at companies who are serious about AI. The ones that recognize AI-defined business environment and the need for AI use case versatility and scale.
The three services provide essential foundation for AI at Scale implementation. In other words, they prepare for effective strategic planning and digital capabilities build-up.
Key principles that define AI transformation services:
- Comprehensive take on constraints, use cases and integration requirements
- Apply solid methodology for efficiency and effectiveness
- Aim at strong AI use case portfolio rather than set of isolated use cases
Constraints Assessment
Constraints Assessment kicks off AI Transformation services with set objectives as follows:
Alignment on current state
- AI utilization in the business context
- status of digitalization and data
- status of AI and software engineering
Preparing for AI integration
- AI use case integration in business operations at scale
- identifying and understanding shortcomings and bottlenecks
Creating comprehensive perspective to digital capabilities as AI enablers
- technical, organizational, processes
- accurate view on current situation
- outlook on how things are progressing
Constraints Assessment utilizes versatile methodology:
Eight assessment areas with 360° view on essential capabilities
Extensive utilization of checklists
- pre-prepared and carefully crafted
- full coverage over assessment areas
- for efficiency and effectiveness
Checklists-guided interviews
- Q&A for current state facts
- discussion and interpretation
- shared understanding of constraints
Constraints Workshop (optional)
- wider alignment on constraints and their nature
- consensus building
Use Case Assessment
Use Case Assessment continues from where Constraints Assessment left. For this service, the objectives are as follows:
Identify high-impact AI use cases
- adapted to industry context
- business relevance recognized
- business potential understood
Gain understanding on use cases
- value proposition
- technology and ecosystem enablers
Identify natural business owners for use cases
Outline strong use case portfolio
- consistency, coherence, synergies
- mutual reinforcement
Use Case Assessment deploys strong methodology:
AI Use Case Library
- to catalyst discovery
- to inspire thru examples
- to hit the ground running (for efficiency)
Use Case Template
- for consistency and coherence
Business Model Canvas
- describing business fundaments
- used as company proxy
- place where use cases meet business
AI Technology Enablers
- to identify AI evolution gains
Digital Ecosystem Enablers
- to recognize new possibilities
- to outsource digital capabilities
Integration Assessment
As the final step, Integration Assessment digs deep into AI use case integration requirements. Service objectives are as follows:
Assess use case total integration requirements
- comprehensive take on all integration aspects
Integration into business operations
- digitalization of processes, systems, products and services
- data needs and sources
- data integration
- AI model requirements
- software engineering needs
- organizational requirements
All previously identified use cases
Previously identified constraints and their impact on integration
Integration Assessment deploys fine-tuned methodology for highest possible efficiency and effectiveness:
Starting point: Use Case Assessment results
- selected use cases
- AI Technology enablers
- Digital Ecosystem enablers
Integration Requirements analysis
- comprehensive
- grading with IR Factor
Integration Constraints analysis
- constraints applied to each use case
- grading with IC Factor
Strategic conclusions
- available and lacking digital capabilities
- what would it take to integrate use cases
- overall business impact
Strategic Planning and Capabilities Build-up
Rather than individual services, Strategic Planning and Capabilities Build-up are service categories. Detailed service contents are to be defined later but basically Strategic Planning connects to things like Digital Strategy, Operating Model, Enterprise Architecture, Strategic Roadmap, and Outsourcing Plan.
Correspondingly, Capabilities Build-up is about strategy implementation in terms of digital capabilities needed to enable AI use cases. Examples of such key capabilities would include things like Digitalization, Data Management, AI Engineering, Software Engineering, Operating Model and Data Culture. In addition, Capabilities Build-up evolves around Change Management with focus on systematic constraints elimination.