Enterprise Strategy & Operating Model
Align enterprise direction, structure, governance, workforce, and transformation with the operating reality.
- AI-Assisted
- AI initiatives and pilots support strategy and analysis inside the existing operating model.
- AI-Enabled
- Decision rights, roles, governance, workforce implications, and operating mechanisms are redesigned around selected AI participation.
- AI-Native
- Strategy and operating-model evolution integrate Human + AI work, accountability, evidence, and learning.
Connected practices: Operating-model clarity, Transformation direction, Enterprise design
Enterprise Discovery, AI Opportunity & Value
Understand enterprise reality and identify, evaluate, and prioritize valuable change in context.
- AI-Assisted
- AI helps synthesize evidence, model enterprise context, and generate opportunity hypotheses.
- AI-Enabled
- Opportunities are evaluated against dependencies, value, human boundaries, governance, and implementation readiness.
- AI-Native
- Opportunity and value decisions evolve through evidence, validated enterprise models, and learning loops.
Connected practices: Evidence-led diagnosis, Value-stream discovery, AI opportunity prioritization, Value realization
Enterprise Flow, Portfolio & Agility
Improve how value, work, investments, and decisions flow across teams and portfolios.
- AI-Assisted
- AI supports planning, analysis, coordination, knowledge work, and delivery decisions within existing flow systems.
- AI-Enabled
- Portfolio, team, and decision flows combine automation, agents, and accountable human judgment.
- AI-Native
- Adaptive Human + AI flow systems respond to evidence while preserving explicit decision and consequence ownership.
Connected practices: Lean, Agile, SAFe, Portfolio flow, Team and ART enablement
Work, Process & Human + AI Design
Redesign work, workflows, decisions, handoffs, and accountability around customer value and human judgment.
- AI-Assisted
- Copilots and AI assistance improve selected tasks without fundamentally changing the workflow.
- AI-Enabled
- Workflows, decisions, roles, handoffs, controls, and human/AI boundaries are deliberately redesigned.
- AI-Native
- Agentic and generative work systems adapt within defined accountability, evidence, escalation, and human-judgment boundaries.
Connected practices: Process improvement, Workflow discovery, Human/AI boundaries, Agentic workflow exploration
Product Strategy & AI Innovation
Create valuable products and evolve product operating models as AI changes product behavior and opportunity.
- AI-Assisted
- AI supports research, discovery, analysis, design, and product delivery activities.
- AI-Enabled
- AI capabilities are designed into products with clear user value, behavior boundaries, evaluation, and fallback.
- AI-Native
- Product value and experience use contextual generative or agentic behavior with appropriate evidence and human oversight.
Connected practices: Product management, Product development, Continuous discovery, AI product behavior and evaluation
Engineering Excellence & AI-Native Delivery
Build and operate products through disciplined engineering systems that support reliable Human + AI delivery.
- AI-Assisted
- Coding assistants accelerate bounded tasks within existing engineering practices.
- AI-Enabled
- Repositories, context, specifications, architecture, verification, evaluation, and permissions support reliable Human + AI engineering.
- AI-Native
- Human and AI responsibilities form a governed, evidence-producing delivery system with durable knowledge and accountable release decisions.
Connected practices: DevOps, Agile delivery, Architecture, Verification, Coding agents
Leadership, Change & Accountable Governance
Lead adoption and transformation while keeping governance, assurance, decisions, and consequences accountable.
- AI-Assisted
- Leaders use AI while beginning to govern adoption, risk, workforce impact, and consequential decisions.
- AI-Enabled
- AI participation has explicit decision rights, assurance, accountability, knowledge-quality, consequence, adoption, and escalation design.
- AI-Native
- Governance and leadership adapt through evidence and learning while consequential accountability remains explicitly human-owned.
Connected practices: Leadership development, Organizational coaching, Team coaching, Transformation coaching, AI assurance, Adoption
Workforce Learning & Contextual Capability
Build the role- and work-specific capability people need as technology, work, and accountability change.
- AI-Assisted
- Foundational AI literacy, tool-specific practice, work assistance, and role-based experimentation.
- AI-Enabled
- Capability building reflects actual roles, workflows, technology, maturity, governance, and transformation objectives.
- AI-Native
- Learning and work evolve together through contextual practice, evidence, reflection, and continuously updated Human + AI capability.
Connected practices: Training, Academies, Leadership programs, Engineering programs, Capability journeys
