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You’ve discovered the current state of your own AI journey across five crucial dimensions, as well as suggestions for reaching the next state. Now we will provide a holistic view of how we envision the AI transition unfolding within each.

Charting the course of your AI journey

Your AI voyage, visualized. With a clear perspective on your current status, we’re here to help you navigate toward a brighter AI future.

Business & customer value

ALL STATES

EXPERIMENTING

1. Educate & prepare

Facilitate AI use case exploration
Map use cases to value/complexity/risk
Create first proof of concept (POC)
Establish a way to innovate at scale

2. Experiment

Use innovation approach to deliver on use cases
Expand stakeholders across business units
Create risk-reward framework

3. Build & adopt

Create ongoing roadmap and use cases for all business units
Establish an innovation lab supporting use cases in each business unit

ENHANCED

Implement real-time adaptation of products and services based on AI insights
Expand AI-enabled personalization across customer touchpoints
Automate stakeholder mapping and engagement through AI
Incorporate AI models into core financial decision processes
Develop transparency frameworks for AI systems
Train cross-functional teams on AI tools

ENABLED

Employ AI to identify and create entirely new market opportunities
Orchestrate end-to-end hyper-personalized customer journeys with AI
Architect a dynamic ecosystem of stakeholders powered by AI
Enable autonomous AI optimization of financial operations
Set new benchmarks for AI-driven customer experiences
Foster ecosystem-wide value creation through AI

EVOLVING

1. Partner
Form a groundbreaking partnership with virtual reality or augmented reality companies to build immersive, AI-curated customer experiences that redefine industry standards for engagement and loyalty.

2. Lead
Host a global “Future of Customer Experience” symposium, bringing together industry leaders and innovators to cocreate the next decade’s roadmap for AI-driven customer experiences.

3. Invest
Launch an “AI for Humanity” venture fund that invests in breakthrough technologies aimed at solving global challenges through AI, establishing your brand as a leader in delivering unparalleled societal and customer value.

Strategy alignment & orchestration

ALL STATES

EXPERIMENTING

1. Educate & prepare

Align on AI strategy and incorporate into company strategy
Establish AI office supporting hub and spoke implementation process
Develop ROI calculator and dashboards for overall program and BUs

2. Experiment

Continuously develop tools and templates for BU implementation
Monitor ROI with each use case
Determine BU implementation roadmap
Incentivize and empower power users in BUs

3. Build & adopt

Maintain AI in overall organization strategy
Regularly assess ROI calculator and dashboards for overall program and BUs
Maintain ongoing implementation roadmap and ROI across all BUs

ENHANCED

Implement agile strategy adaptation based on AI insights
Cultivate an external ecosystem of AI collaborators
Empower cross-functional teams to lead localized AI initiatives
Evolve AI office to a collaborative role, providing targeted support
Nurture understanding and belief in AI through transparency
Decentralize decision-making to teams driving innovations

ENABLED

Pioneer new business models and offerings powered by AI
Reshape and disrupt industries through AI transformation
Enable AI systems to autonomously optimize operations and processes
Transition AI office to fully automated orchestration
Achieve seamless, decentralized strategy alignment with AI
Foster confidence in autonomous AI capabilities

EVOLVING

1. Partner
Collaborate with international economic organizations to develop an AI-driven global economic model, redefining how businesses and governments plan and react to market dynamics.

2. Lead
Initiate an international AI strategy summit where businesses, governments, and nonprofits converge to create a unified vision for AI’s role in global strategic planning.

3. Invest
Establish a cutting-edge AI lab for strategic innovation dedicated to developing AI algorithms that can predict and adapt to market changes years in advance, effectively redefining strategic planning.

Security, ethics & governance

ALL STATES

EXPERIMENTING

1. Educate & prepare

Establish a responsible AI council as part of your AI office
Develop and implement an acceptable use policy

2. Experiment

Establish a responsible AI risk assessment
Implement ongoing risk and acceptable use training
Integrate controls for security, observability, and explainability
Monitor risk thresholds with technology

3. Build & adopt

Maintain and update acceptable use policy
Ongoing risk and acceptable use training
Ongoing risk assessment for security, observability, and explainability
Ongoing tool monitoring

ENHANCED

Lead development of ethical AI standards through global collaborations
Implement granular data segmentation and access controls
Automate security monitoring and auditing of AI systems
Establish adaptive policies and guidelines based on risk insights
Maintain transparent ledgers of model versions and decisions
Incorporate explainability features into AI systems

ENABLED

Set bold, philosophical AI ethics benchmarks
Achieve transparent, auditable AI through ledgers
Enable self-auditing AI systems that adapt policies
Automate regulatory filings and governance processes
Maintain resilience through autonomous remediation
Proactively assess AI’s evolving societal impact

EVOLVING

1. Partner
Engage in multinational partnerships to influence and cocreate a global AI governance framework that becomes a reference point for international law.

2. Lead
Initiate a global AI ethics council, comprising industry leaders, ethicists, and policymakers, aimed at defining and driving ethical AI practices on a global scale.

3. Invest
Found a research institute committed to the development of autonomous AI auditing systems, pushing the boundaries of self-governing AI technologies for security and ethics.

Technology & data

ALL STATES

EXPERIMENTING

1. Educate & prepare

Select LLM and ongoing assessment of build/buy/rent of AI tools
Establish secure testbed platform and governance mechanism
Identify and secure needed data

2. Experiment

Ensure IT is prepared to meet needs of AI ops
Define AI testing approach
Establish product enhancements and operating model

3. Build & adopt

Maintain intelligent product backlog with innovation lab
Continue to establish ongoing product enhancements
Regularly assess tools needed in the AI landscape

ENHANCED

Implement end-to-end AI data quality and integrity processes
Explore strategic data-sharing partnerships
Define protocols and agreements for secure external data sharing
Expand AI integration across software development lifecycle
Establish automated AI ops performance monitoring and alerts
Train cross-functional teams on AI tools and platforms

ENABLED

Achieve autonomous AI data optimization and valuation
Develop dynamic agreements enabling collaborative intelligence
Architect decentralized ecosystem of internal/external AI agents
Enable autonomous AI management of software lifecycle
Implement predictive and self-healing capabilities in AI ops
Establish autonomous resource optimization through AI

EVOLVING

1. Partner
Partner with quantum computing research institutions to pave the way for the next frontier in AI capabilities, setting up your organization as the trailblazer for quantum-AI convergence.

2. Lead
Launch a global AI consortium aimed at setting universal standards and protocols for data sharing and interoperability, thereby revolutionizing how industries utilize AI at scale.

3. Invest
Create a venture arm dedicated to incubating and scaling disruptive AI technologies that will redefine data management, MLOps, and IT infrastructure for the next decade.

Organization & workforce

ALL STATES

EXPERIMENTING

1. Educate & prepare

Educate on acceptable use policy
Develop targeted skilling program
Begin on-the-job experimentation
Track productivity and skill impact

2. Experiment

Develop a culture of responsible innovation
Launch AI learning roadmap by BU
Develop skill needs profile with each use case
Assess human-machine combination impacts

3. Build & adopt

Maintain a culture of innovation and responsible AI
Develop workforce strategy and talent planning (skill-based architecture)
Institute workforce 2.0 based on human-machine combinations
Establish/optimize operating models

ENHANCED

Define new roles to maximize AI integration benefits
Cultivate a culture of continuous AI innovation
Implement AI training for advanced skills development
Adopt predictive hiring algorithms and AI-optimized talent management
Launch internal AI talent marketplaces
Standardize processes for AI solution delivery

ENABLED

Achieve seamless human-AI collaboration across the organization
Enable AI-native employee onboarding
Implement autonomous AI talent ecosystem
Architect fluid, decentralized teams as an interconnected ecosystem
Achieve end-to-end autonomous AI solution lifecycle management
Foster agile adaptation to the evolving AI landscape

EVOLVING

1. Partner
Forge strategic alliances with educational institutions and governments to develop a universal AI literacy curriculum, aiming to redefine workforce readiness for the next generation.

2. Lead
Initiate a global forum on the future of human-AI collaboration, attracting world leaders and experts to shape the international agenda on workforce transformation in the age of AI.

3. Invest
Establish a “Future of Work” institute focused on pioneering research and development in human-AI collaboration to shape the future dynamics of work and influence global labor policies.