Reference-grade AI research: enterprise AI strategy, governance, data, generative AI, agentic operating models, and the frameworks behind them.
The 03 AI Readiness Sprint Playbook provides a structured framework for organizations to assess their AI readiness and implement a 90-day pilot plan. It's designed for CEOs, CIOs, and AI Council sponsors looking to operationalize AI initiatives. Use this playbook to streamline decision-making and prioritize AI use cases effectively.
The asset provides a comprehensive playbook for establishing a full AI governance program, detailing a structured approach with a four-tier risk framework and essential deliverables. It is designed for AI Council members and executives involved in AI strategy and operations. Use this playbook to implement governance frameworks and ensure compliance in AI initiatives effectively.
The 10-day AI Readiness Sprint Playbook provides a structured framework for operating teams to implement AI initiatives effectively. It's designed for strategy and operations leads looking to enhance decision-making and operational cadence within their teams. The playbook outlines actionable steps to ensure smooth transitions from consulting to operational ownership.
The Sol-pb-006 AI Governance Assessment Playbook provides a structured framework for operating teams to implement AI governance effectively. Ideal for strategy and operations leads, it outlines a decision-ready reference that can be applied in the next operating cycle. The playbook emphasizes discipline and ownership, ensuring continuity beyond consulting engagements.
The Sol-pb-009 AI Readiness Full Sprint Bundle Playbook provides a structured, decision-ready reference for operating teams to enhance their AI readiness. Ideal for strategy and operations leads, it outlines a disciplined approach to recurring operational rhythms and decision-making processes. Use it to streamline your team's cadence and ensure effective program ownership from the start.
The Sol-pb-010 Data to AI Pathway Bundle Playbook provides a structured, decision-ready framework for operating teams to efficiently implement AI strategies. It's designed for strategy and operations leads looking to enhance their decision-making processes within the next operating cycle. The playbook emphasizes discipline and ownership, ensuring smooth transitions from consulting to operational execution.
The Sol-pb-012 Leadership AI Activation Bundle Playbook provides a structured, decision-ready reference for operating teams to enhance their efficiency in recurring situations. It is designed for strategy and operations leads to implement within their next operating cycle. The playbook emphasizes discipline and ownership to ensure sustained program success beyond consulting engagements.
The AI Governance Playbook provides a structured framework for strategy teams, consultants, and operators to navigate AI governance challenges effectively. It outlines key phases, decision points, and risk management strategies essential for successful AI implementation. Use this playbook for assessments, pre-deployment reviews, and to ensure compliance with governance standards.
This asset provides a structured playbook for AI strategy and governance, designed for operating teams to implement within their next cycle. It outlines key rhythms, instruments, and handoff processes to ensure effective execution. Ideal for strategy or operations leads looking to operationalize AI initiatives efficiently.
This asset provides a structured intake form for evaluating new AI use cases before they enter the portfolio, detailing essential inputs like business sponsorship and risk assessment. It's designed for business owners and AI Council reviewers to ensure thorough evaluation and prioritization. Use this form whenever a new AI use case is proposed to streamline decision-making.
The AI Readiness Assessment asset provides a structured framework for evaluating the readiness of a specific AI use case before pilot launch. It's designed for use-case owners and technical leads to identify blockers and create an unblock plan. Utilize this assessment after initial intake and before committing resources to ensure safe and scalable AI deployment.
The AI Governance Checklist provides a structured, mandatory review process for pre-deployment of AI use cases, ensuring compliance with regulations and operational readiness. It is essential for AI Council members, technical leads, and governance teams to use before any production deployment. This checklist helps mitigate risks and ensures all necessary approvals are in place.
The asset provides a structured model risk review framework aligned with industry MRM standards, ideal for model risk functions and technical leads. It details necessary inputs, outputs, and governance requirements, ensuring compliance before model deployment. Use this guide to assess and mitigate risks associated with model outputs that could impact stakeholders.
The asset provides a structured vendor evaluation framework for assessing AI capabilities, ideal for procurement teams and technical leads during vendor selection. It outlines key dimensions such as capability fit, cost, and operational risk, ensuring informed decision-making. Use this resource for Tier 2+ AI use cases when adopting an external vendor.
The asset provides a structured business case template for a single AI use case, detailing investment profiles, benefits, financial metrics, and risk assessments. It's designed for sponsors, CFOs, and investment committees to secure funding beyond exploratory budgets. Use this when preparing for AI projects requiring significant investment.
The AI Pilot Charter asset provides a structured framework for initiating AI pilots, detailing scope, success criteria, budget, and governance. It's designed for sponsors, technical leads, and AI councils to ensure effective pilot execution. Use this charter after business case approval to guide your AI initiatives.
The Data Product Canvas provides a structured approach for treating data sets as products, ensuring reusability and operational trustworthiness. It's designed for data product owners, engineers, and stewards when managing critical data sets across multiple use cases. Utilize this canvas to define ownership, quality standards, and access controls effectively.
This asset outlines a comprehensive framework for developing an Enterprise AI Strategy, aimed at organizations seeking to leverage AI as a competitive advantage. It details the engagement's context, objectives, and methodology, making it suitable for leadership teams navigating AI implementation. The structured approach includes stakeholder involvement and a sequenced roadmap for execution.
The Generative AI Roadmap asset outlines a structured approach for organizations to leverage generative AI as a competitive advantage. It is designed for leadership teams seeking to navigate macro shifts in AI maturity and regulatory landscapes. The roadmap includes strategic objectives, stakeholder roles, and a phased delivery methodology for actionable insights.
The asset outlines the Agentic AI Operating Model, designed for organizations leveraging AI as a competitive advantage. It details a structured approach to assess current capabilities, identify strategic objectives, and create a roadmap for implementation. This resource is essential for leadership teams navigating the evolving AI landscape and aiming for effective operational execution.
The asset presents a structured AI governance and responsible AI framework designed for operating teams to implement within their next cycle. It is ideal for strategy and operations leads looking to make informed decisions about AI investments and capabilities. The framework emphasizes evidence-based capital allocation and platform investment sequencing for effective outcomes.
This asset outlines a comprehensive data strategy framework for organizations aiming to leverage data as a competitive advantage. It is designed for leadership teams navigating macro shifts like AI maturity and regulatory changes. The structured approach includes stakeholder engagement, analysis, and a roadmap for execution within an 18-month horizon.
This asset outlines a comprehensive framework for developing a Data Platform Architecture, aimed at organizations seeking to leverage data as a competitive advantage. It details strategic objectives, stakeholder roles, and a phased delivery approach tailored for senior decision-makers. Use this guide to navigate the complexities of data platform design and implementation effectively.
The asset outlines a comprehensive Data Governance Framework designed to help organizations leverage data governance as a competitive advantage. It is aimed at leadership teams seeking to enhance their data governance capabilities amidst evolving market conditions. The framework includes a structured approach, methodologies, and actionable insights for implementation.
This asset outlines a comprehensive Analytics and BI Strategy designed for organizations seeking to leverage analytics as a competitive advantage. It details the engagement's objectives, methodology, and deliverables, making it ideal for leadership teams aiming to enhance their analytics capabilities. The structured approach ensures actionable insights and a clear roadmap for implementation.
This asset provides a structured reference for building machine learning models and implementing MLOps, ideal for operating teams looking to make informed decisions in their next cycle. It outlines key questions, capital cadence, and platform investment strategies. Actionable steps are included to operationalize the content effectively.
This asset provides a structured approach for AI use case discovery and prioritization, ideal for strategy and operations leads. It outlines a decision-ready reference that can be applied in the next operating cycle, emphasizing capital cadence and platform investment. Readers will find actionable steps to operationalize the insights effectively.
The asset provides a structured cloud strategy and migration plan designed for operating teams to implement within their next cycle. It outlines key actions, including identifying data ownership and establishing freshness contracts to enhance system efficiency. Use this reference to inform decisions and operationalize cloud strategies effectively.
This asset outlines a comprehensive Integration API Strategy aimed at helping organizations leverage integration as a competitive advantage. It is designed for leadership teams seeking to navigate macro shifts in AI, regulations, and customer expectations. The framework includes a structured approach to assess current states, define objectives, and develop actionable roadmaps.
This asset outlines a comprehensive cybersecurity strategy tailored for organizations seeking to leverage cybersecurity as a competitive advantage. It details the engagement's objectives, scope, and methodology, making it a valuable resource for leadership teams navigating recent macro shifts. Use this guide to inform strategic decisions and enhance cybersecurity frameworks effectively.
This asset provides a decision-ready reference for implementing Zero Trust Architecture, ideal for strategy and operations leads. It outlines actionable steps to operationalize the design within the next cycle, emphasizing data integrity and system efficiency. Use this guide to enhance your organization's security posture effectively.
