Your AI journey and next steps
Congratulations on completing our AI maturity assessment, %cname%! Your customized results and recommendations below will help you navigate your organization’s AI journey.
Your AI voyage, visualized. With a clear perspective on your current state, we’re here to help you navigate toward a brighter future with AI.
You’re starting to play with and learn AI tools in specific business units. To achieve an “enhanced” state, you’ll need to:
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
Develop ongoing roadmap and use cases for all business units
Establish an innovation lab supporting use cases in each business unit (BU)
You’re building the AI foundation for a unified strategy and engaged participation throughout the organization. To achieve an “enabled” state, you’ll need to:
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
You’re empowering every corner of the organization with AI’s transformative touch. To achieve an “evolving” state, you’ll need to:
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
You’re using AI to guide disruptive strategies, structures, and experiences. Let’s collaborate to build a better future for all. Here are some of our ideas:
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.
You’re starting to play with and learn from AI tools in specific business units. To achieve an “enhanced” state, you’ll need to:
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 business units
Continuously develop tools and templates for business unit implementation
Monitor ROI with each use case
Determine business unit implementation roadmap
Incentivize and empower power users in business units (BUs)
Maintain AI in overall organization strategy
Regularly assess ROI calculator and dashboards for overall program and business units
Maintain ongoing implementation roadmap and ROI across all business units
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
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
Collaborate with international economic organizations to develop an AI-driven global economic model, redefining how businesses and governments plan and react to market dynamics.
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.
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.
Establish a responsible AI council as part of your AI office
Develop and implement an acceptable use policy
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
Maintain and update acceptable use policy
Develop ongoing risk and acceptable use training
Conduct regular risk assessments for security, observability, and explainability
Continuously monitor tools
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
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
You're using AI to guide disruptive strategies, structures, and experiences. Let’s collaborate to build a better future for all. Here are some of our ideas:
Engage in multinational partnerships to influence and cocreate a global AI governance framework that becomes a reference point for international law.
Initiate a global AI ethics council, comprising industry leaders, ethicists, and policymakers, aimed at defining and driving ethical AI practices on a global scale.
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.
Select LLM and ongoing assessment of build/buy/rent of AI tools
Establish secure testbed platform and governance mechanism
Identify and secure needed data
Ensure IT is prepared to meet needs of AI ops
Define AI testing approach
Establish product enhancements and operating model
Maintain intelligent product backlog with innovation lab
Continue to establish ongoing product enhancements
Regularly assess tools needed in the AI landscape
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
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
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.
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.
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.
Educate on acceptable use policy
Develop targeted skilling program
Begin on-the-job experimentation
Track productivity and skill impact
Develop a culture of responsible innovation
Launch AI learning roadmap by business unit (BU)
Create skill needs profile with each use case
Assess human-machine combination impacts
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 and/or optimize operating models
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
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
Forge strategic alliances with educational institutions and governments to develop a universal AI literacy curriculum, aiming to redefine workforce readiness for the next generation.
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.
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.
Every AI journey is enriched by the company it keeps. Help us identify our companions by participating in our polls.
Financial services
Healthcare/life sciences
Manufacturing
Media & communications
Public & social impact
Resources
Retail & consumer goods
Technology
Other
Finance & accounting
Human resources
Sales & marketing
Operations
Information technology
Research & development
Legal
Custom service
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