Diagnostic Capabilities
The most effective way to start any initiative is by first identifying and deeply understanding the problem at hand, rather than jumping straight to a one-size-fits-all solution. While we bring a broad range of expertise and proven methodologies, true success comes from aligning our approach with the unique challenges and business objectives of each organization. By thoroughly defining the problem space and establishing clear, measurable success criteria before implementing any solution, we ensure that our efforts drive meaningful impact. This disciplined approach not only maximizes effectiveness but also prevents wasted effort, misalignment, and unnecessary complexity—allowing us to deliver targeted, high-value outcomes that matter to your business.
AI adoption is not just a technological shift—it's a leadership transformation. This executive coaching initiative empowers leaders to break free from the fears that stall AI adoption, addressing both FOMO (Fear of Missing Out) and FOMU (Fear of Messing Up). Through strategic coaching, mindset shifts, and actionable frameworks, executives will gain the confidence to lead AI-driven change, manage resistance, and foster a culture of innovation. By reframing fear as an opportunity, leaders will create an environment where teams feel empowered to experiment, learn, and embrace AI with clarity and purpose.
Shift Mindsets from Fear to Opportunity
Help leaders identify and overcome FOMO and FOMU by reframing fear as a catalyst for growth, innovation, and experimentation in AI adoption.
Develop Confident, AI-Literate Executives
Equip leaders with the knowledge, tools, and frameworks to confidently lead AI initiatives, regardless of their technical background.
Build a Culture of Empowerment and Innovation
Enable leaders to foster psychologically safe environments where teams are encouraged to test, learn, and innovate with AI technologies.
Drive Organizational Readiness for AI
Assess current leadership readiness and build a tailored action plan to support scalable AI transformation across departments.
Navigate Resistance and Lead Through Change
Provide strategies for managing organizational resistance, aligning stakeholders, and sustaining momentum through the AI journey.
Establish a Strategic AI Vision and Purpose
Help leaders articulate a clear, values-driven vision for AI adoption that aligns with business goals and inspires teams to contribute.
Accelerate Experimentation and Learning Loops
Encourage the creation of lightweight, iterative AI use cases that allow for fast feedback, rapid wins, and reduced risk.
Embarking on a journey toward artificial intelligence (AI) integration requires a clear understanding of your organization's existing capabilities and readiness. The "Where Are We Now? AI Current State Assessment" is a comprehensive, multi-week evaluation designed to analyze your company's current AI maturity and preparedness. This foundational step is crucial before engaging in subsequent workshops and strategic planning sessions.
This assessment can be done at the corporate enterprise, business unit, program, project, and team levels. Information and recommendations can be rolled up and down to foster communication and improvement.
Clear View of AI Readiness
Gain a comprehensive understanding of your organization's current AI maturity across people, processes, technology, and data infrastructure.
Capability Gap Identification
Identify critical gaps in skills, platforms, governance structures, and data quality that may hinder AI adoption or scaling efforts.
Stakeholder Alignment
Evaluate alignment across leadership, teams, and business units on AI priorities, use cases, risk tolerance, and success metrics.
Regulatory Context & Compliance Readiness
Analyze your organization's current position relative to national, state, and industry-specific AI regulations. This includes assessing compliance with frameworks such as GDPR, HIPAA, CCPA, and SEC/FINRA, as well as readiness for evolving standards on AI ethics, transparency, and governance.
Risk & Opportunity Landscape
Uncover high-risk areas and ethical considerations in AI implementation while highlighting high-impact, low-friction opportunities to deliver early value.
AI Investment Prioritization
Provide a fact-based foundation to prioritize AI initiatives and resource allocations in alignment with strategic goals and regulatory obligations.
Strategic Baseline for Roadmapping
Establish a clear, data-informed baseline to guide the creation of a customized AI adoption roadmap that is scalable, sustainable, and measurable.
Benchmarking & Maturity Scoring
Deliver an AI maturity model and benchmark your organization against industry peers and regulatory expectations to inform future planning.
Cultural & Organizational Readiness Insights
Assess organizational culture, leadership support, and change readiness to ensure successful and responsible AI integration across teams.
- What is the AI Readiness Assessment: The keys to understanding your organization's existing capabilities and readiness for AI integration.
- Comprehensive Evaluation: Analyzing your company's AI maturity and preparedness.
- Next Steps: Crucial for guiding future workshops and strategic planning sessions.
This assessment can be done at the corporate enterprise, business unit, program, project, and team levels. Information and recommendations can be rolled up and down to foster communication and improvement.
Unlock AI's full potential with a structured 11-week engagement designed to identify, assess, and prioritize AI use cases that drive real business value.
Through stakeholder collaboration, feasibility analysis, and strategic roadmapping, this initiative ensures AI solutions align with your business objectives and operational needs. Our expert-led process provides a clear path to implementation—delivering actionable insights, a prioritized AI use case portfolio, and a roadmap for seamless integration into your workflows.
Validated, High-Impact Use Case Portfolio
Gain a curated, business-aligned list of AI use cases—prioritized by feasibility, value, and urgency—to ensure immediate relevance and long-term ROI.
Cross-Functional Alignment on AI Strategy
Achieve organization-wide consensus through structured stakeholder engagement, ensuring AI initiatives are fully integrated with business objectives and operational realities.
Feasibility & Readiness Assessment
Identify key technical and organizational enablers and blockers, providing a realistic lens on what can be implemented now vs. later—mitigating risk and maximizing value.
Strategic Roadmap for AI Implementation
Walk away with a clear, time-bound implementation roadmap that guides AI integration—from concept to scale—across prioritized business areas.
Actionable Insights for Executive Decision-Making
Equip leadership with the data and clarity they need to confidently invest in AI with precision, aligning resource allocation to the highest-value opportunities.
- AI Use Case Identification: Identifying, assessing, and prioritizing AI use cases that drive business value.
- Stakeholder Collaboration and Coaching: Working closely with key stakeholders to align AI solutions with business objectives.
- Feasibility Analysis: Analyzing the feasibility of potential AI use cases to ensure they are viable and impactful.
- Strategic Roadmapping: Creating a clear roadmap to guide AI implementation and integration into workflows.
- Expert-Led Process: Delivering actionable insights, a prioritized AI use case portfolio, and a path for seamless AI integration.
This highly-customized, multi-faceted engagement can help across a company enterprise to improve business outcomes at the executive enterprise, business unit, programs, and team levels.
For those seeking immediate operational impact, leverage AI-driven insights to eliminate inefficiencies, streamline workflows, and accelerate Agile and business operations. This data-driven assessment uncovers bottlenecks, identifies automation opportunities, and delivers an AI-powered roadmap to enhance decision-making and reduce operational waste. Through intelligent data analysis and actionable recommendations, we help organizations optimize work intake, minimize task-switching, and implement low-risk, high-impact AI adoption strategies—driving measurable improvements in efficiency and speed.
Leaders, change agents, and all those familiar with workflows and their gaps.
- Leverage AI-driven insights to eliminate inefficiencies and streamline workflows
- Accelerate Agile and business operations through data-informed strategies
- Identify process bottlenecks and automation opportunities using data-driven assessments
- Develop and implement an AI-powered roadmap for operational improvement
- Enhance decision-making and reduce operational waste through intelligent data analysis
- Optimize work intake and reduce task-switching to improve team focus and output
- Apply low-risk, high-impact AI adoption strategies to achieve measurable efficiency gains
Leaders, change agents, and all those familiar with workflows and their gaps.
This two-day executive learning experience equips senior leaders and board members with the strategic insight, governance frameworks, and ethical principles needed to lead confidently in an AI-powered world. Through high-level discussions, real-world case studies, and collaborative leadership exercises, participants will develop actionable strategies to align AI investments with business goals, manage risks, and drive responsible, ethical adoption across the enterprise.
Lead with Confidence in AI Governance
Establish the executive's critical role in shaping, overseeing, and championing AI governance strategies that ensure accountability, transparency, and alignment with corporate values.
Align AI Strategy with Business Goals
Ensure AI initiatives directly support organizational objectives, unlock measurable value, and deliver strategic impact through thoughtful prioritization and investment planning.
Mitigate Risks Through Responsible Oversight
Identify and proactively manage key AI risks—such as bias, privacy, and regulatory non-compliance—through ethical leadership and robust governance frameworks.
Drive Ethical AI Adoption
Champion fairness, transparency, and explainability by embedding ethical principles into AI development, decision-making processes, and enterprise culture.
Govern for Long-Term Success
Design and implement governance structures that sustain responsible AI development and usage, balancing innovation with oversight to protect reputation and trust.
Manage Change and Workforce Impact
Lead organizational transformation by anticipating workforce shifts, reskilling needs, and cultural adaptation required to thrive in an AI-driven future.
AI as an Amplifier, not a Replacement
AI is designed to enhance, not replace, human roles. Our approach prioritizes responsible AI adoption, ensuring that AI supports decision-making, optimizes workflows, and empowers teams without diminishing human expertise and collaboration.
By leveraging AI in a targeted and customized manner, ICON Agility can help drive innovation while upholding its mission-driven, people-centric values.
This is by no means a comprehensive list of ALL of our capabilities, but we strongly feel that we need to begin with the problem to be solved, before moving on to workshops, role-based training, etc.
Reach out today to discuss how ICON Agility can support your AI journey.
Potential Key Insights on AI Adoption and SAFe Framework
- SAFe and AI Adoption:
- SAFe principles and Responsible AI provide the governance structure needed for AI initiatives
- The need for clear leadership and decision-making in AI-driven organizations—SAFe's Lean-Agile leadership provides structure.
- SAFe Implementation for AI at Scale:
- The challenge of scaling AI capabilities across large organizations can be mitigated with SAFe's emphasis on value streams and ARTs, ensuring AI initiatives align with business outcomes
- AI success requires a robust, scalable structure to manage complexity—SAFe's Program and Portfolio levels deliver the necessary oversight.
- Effective and meaningful AI solutions require cross-functional teams and span multiple domains (engineering, data, business) requiring a focus on collaboration towards incremental value delivery.
- AI models need iterative testing and development—SAFe's continuous feedback loop supports rapid, responsive AI model iterations.