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A practitioner's guide to clarity in the age of AI
United We Transform
A Practitioner’s Guide to Solving for Clarity in the Age of Artificial Intelligence
Direct answer: United We Transform is a practitioner's guide for leaders, facilitators, innovation teams, and event designers who need to turn organizational ambiguity into clear decisions and accountable action. The book introduces Collaborative Intelligence, the nine-part Collaborative Intelligence Canvas, the STACK engagement model, and the Cognitor role for responsible human-AI workflow design.
11Chapter guides
37Frameworks
90Practice prompts
4Free AI skills
One operating system for the work between ambiguity and action.
United We Transform helps leaders and practitioners combine human judgment, collective intelligence, and artificial intelligence without surrendering accountability. Its core frameworks - the Collaborative Intelligence Canvas, the STACK model, and the Cognitor role - help teams clarify the destination, design better engagements and decisions, and build responsible human-AI workflows that carry insight into action.
01
Collaborative Intelligence Canvas
Nine connected elements for a shared destination, accountable choices, human-AI workflow, and ethical action.
Use the Canvas02STACK
Situation, Task, Action, Consequence, and Knowledge for consequential engagements.
Explore STACK03The Cognitor
The human orchestrator of AI tools, evidence, interaction, synthesis, and accountability.
Design a workflowRead the argument. Then use it.
Every guide contains a substantive summary, key ideas, named frameworks, all associated figures, and the complete chapter toolkit.
01
The Case for Clarity
Diagnoses the organizational cost of ambiguity and explains why collaborative intelligence, AI augmentation, and a Reset Mindset must work together to create shared clarity. It introduces the nine-part canvas and connects clarity to execution, engagement, adaptability, and measurable value.
Read the chapter guide 02The United We Transform Operating System
Defines UWT as an integrated organizational operating system rather than a stand-alone workshop method. It explains the nine mutually reinforcing elements, formally introduces the Cognitor, positions UWT alongside Design Thinking and Agile, and argues for redesigning structures and habits that perpetuate ambiguity.
Read the chapter guide 03Implementing UWT - A Roadmap for AI-Enabled Collaboration
Turns the UWT system into an implementation roadmap. The chapter moves from executive sponsorship and mindset formation through mission definition, AI-enhanced problem framing, stakeholder engagement, STACK-based working sessions, shared assets, and learning-oriented operations.
Read the chapter guideFour UWT skills for the AI you are already allowed to use.
Every vendor-neutral skill includes inputs, workflow, outputs, guardrails, a complete prompt, and a portable ZIP. All are ungated.
Free AI skill
Clarity and Ambiguity Audit
A source-aware diagnosis of where ambiguity is blocking a decision or initiative, followed by a prioritized set of questions, owners, and next actions that improve shared clarity.
Open the complete skill Free AI skillCollaborative Intelligence Canvas Coach
A first-draft Collaborative Intelligence Canvas that aligns nine connected elements of an initiative while exposing evidence gaps, tensions, AI opportunities, and human accountability.
Open the complete skill Free AI skillSTACK Engagement Designer
A purposeful engagement design that connects Situation, Task, Action, Consequence, and Knowledge, with participatory Scan-Focus-Act cycles, appropriate AI support, human decision rights, and follow-through.
Open the complete skill Free AI skillCognitor/Human-AI Workflow Architect
A pilot-ready human-AI workflow blueprint that assigns accountable human roles, bounded AI contributions, evidence and data requirements, validation gates, ethical guardrails, fallback paths, and impact measures.
Open the complete skillStart with the work in front of you.
Role-specific paths connect the most relevant chapters, questions, and free tools.
Reading path
Executives
Where is ambiguity slowing our most important decisions, and where can AI create value without weakening accountability?
Follow this path Reading pathFacilitators
How do I design human-AI collaboration that improves the quality of participation, sense-making, decisions, and follow-through?
Follow this path Reading pathInnovation Teams
How can our team use AI to widen the solution space, make better choices, and test ideas without confusing output volume with innovation?
Follow this path Reading pathEvent Designers
What must people do together during this event, and what should exist, change, or continue when it ends?
Follow this pathA visual language for clearer decisions.
All 37 manuscript visuals are available at source resolution, individually and in one ZIP.
Achieving Team Mission in the AI Era
Introductory framework from the canonical manuscriptWhat readers are using it for.
Every excerpt links to its Amazon source and keeps purchase or relationship disclosures visible.
"Facilitators can leverage AI to maximize every event and still apply their skills they have honed over decades."
"The authors clearly have significant personal experience across industries applying their theories in the real world."
"The authors share a tried-and-tested approach that helps you organize large-group conversations."
About the authors.
Biographies here are concise paraphrases of the canonical manuscript's author section.
Tom Kehner
Tom Kehner is an architect of collaborative strategy whose work spans commercial, government, and social impact settings. He designs frameworks for collective sense-making and unified action and is described in the manuscript as a driving force behind the United We Transform movement.
Amazon author pageBrandon Klein
Brandon Klein applies artificial intelligence, AI agents, agentic workflows, and automation to decision-making and solution design. The manuscript identifies him as the founder of the United We Transform movement and emphasizes his focus on translating advanced automation into measurable organizational value.
Amazon author pageCanonical source note: this companion follows the attached 218-page manuscript. Amazon format pagination can differ; its hardcover listing reports 203 pages. The complete manuscript PDF is not published here.
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