AI Experience Framework™ emblemThe AI Experience Framework™
AI Experience Framework™ emblem

A methodology by Kimberly J. Lewis, M.Div.

AI Experience Framework™

01020304050607080910

Helping churches, nonprofits, and small businesses experience AI with wisdom, strategy, and confidence.

A faith-informed, practical framework for mission-aligned leaders ready to adopt AI with clarity and care.

01 · ExploreExplore the FrameworkUnderstand the methodology and how every piece connects.See the ecosystem →02 · GuidedMeet Your AI Experience Partner™A two-minute executive assessment. Personalized next steps.Begin assessment →03 · EngageBook KimberlyKeynote, workshop, executive coaching, or strategy session.Start the conversation →

Vision · Architect · Build · Refine · Transform

The leader's question

Every mission-centered leader is being asked the same question. And no one has a clean answer.

Pastors want to know whether AI can help without compromising trust. Nonprofit leaders want to know if it can extend a lean team without replacing the human touch. Small business owners want to know if it will help them grow without hiring too soon.

Most leaders respond by trying tools, watching videos, and hoping something sticks. That is not a practice — and it rarely produces the one outcome that matters: people on your team who can actually do better, more human work with AI than without it.

The gap is not the technology. The gap is the human experience that surrounds it.

Why AI transformation is failing

AI initiatives don't fail because of the model. They fail because of everything around it.

A graveyard of AI experiments that never reached the people they were meant to serve — produced by the same five patterns, repeated across ministries, nonprofits, and small businesses.

  1. 01

    They start with the tool, not the mission.

    Teams pick a model or a platform before defining the business outcome it must produce — so success has no shared definition.

  2. 02

    They treat prompts as the product.

    Prompt engineering becomes the whole conversation while strategy, experience design, governance, and adoption go unowned.

  3. 03

    They build everything at once.

    Sprawling AI pilots try to deliver every capability in parallel and ship none of them at production quality.

  4. 04

    They skip the human experience.

    Without designed journeys, AI defaults to a chat box. Executives don't trust it, end users don't adopt it, and the work stalls.

  5. 05

    They have no path to adoption.

    No enablement, no facilitation, no governance — so even successful builds never reach the people they were designed for.

  6. The missing piece

    Experience.

    AI projects do not fail because the technology is weak. They fail when strategy, people, governance, adoption, and experience are not designed together.

The Ecosystem

How it all connects.

The framework is not a list of concepts. It is a living system — a blueprint, an engine, a standard, an operating system, and a heartbeat — each part answering to the others.

Select any level to jump into its detailed section below ↓

  1. 01

    Executive Framework

    AI Experience Framework™

    The unifying methodology. Sets the language, principles, and outcomes every layer below answers to.

    Read this level ↓

  2. 02

    Transformation Journey

    Four Transformation Phases

    The maturity arc from unaware to AI-native — the map every leader can locate themselves on.

    Read this level ↓

  3. 03

    Implementation Methodology

    Ten-Phase Methodology

    The repeatable delivery cycle that turns strategic intent into shipped, human-centered capabilities.

    Read this level ↓

  4. 04

    Engineering Standard

    Four-Layer Prompt Architecture

    Situation · Intent · Specification · Quality — how every prompt and capability is engineered.

    Read this level ↓

  5. 05

    Executive Operating System

    Fourteen Executive Components

    The instrumented practices leadership runs on — where every phase and layer becomes daily behavior.

    Read this level ↓

  6. 06

    Continuous Intelligence — spans every level

    AI Heartbeat™

    The continuous intelligence and feedback layer — purpose, trust, learning, governance, iteration — pulsing through every level above and keeping the framework alive over time.

    Read this level ↓

Levels 1–5 build on each other; the AI Heartbeat™ pulses through every level — the continuous intelligence that keeps the framework alive.

Level 1 · Executive Blueprint

The AI Experience Framework™ is the answer to those five failures.

One cohesive methodology that brings strategy, experience design, prompting, engineering, governance, and adoption into a single discipline — and treats the human experience as the variable that decides the outcome.

What the framework is

The AI Experience Framework™ is a proprietary methodology for designing, adopting, governing, and sustaining AI inside mission-driven organizations. It sets the language, the principles, and the outcomes every subsequent layer of the ecosystem answers to.

Why it exists

Most AI initiatives fail not because the model is weak, but because strategy, people, governance, adoption, and experience are never designed together. The framework was built to close that gap — replacing scattered pilots with one coherent executive practice.

Why experience is the differentiator

Identical tools produce wildly different outcomes based on the human experience surrounding them. Technology is available to everyone; the way people encounter, trust, and adopt AI is what creates competitive and mission advantage.

“AI is not the competitive advantage. Designing how people work with AI is the competitive advantage.”
Kimberly J. Lewis · Creator, AI Experience Framework

Up next

Where does your organization actually stand today?

Level 2 maps the four transformation phases every organization moves through — and shows leaders how to locate themselves on the journey before choosing what to do next.

Continue to Level 2 ↓

Level 2 · Organizational Journey

Four Transformation Phases — the maturity arc from unaware to AI-native.

Every organization sits somewhere on this arc. Naming the phase honestly is what unlocks the right next move — and prevents leaders from over-investing before the foundation is ready or under-investing once evidence is in hand.

  1. 01

    Pre-adoption

    Unaware

    The organization has not yet formed a shared view of AI. A few individuals experiment privately; leadership has not named a position, a purpose, or a boundary. Anxiety and curiosity coexist without a decision.

    Indicators leaders see

    • No stated organizational position on AI
    • Ad-hoc, private tool use with no shared standard
    • Leaders describe AI in aspirational or fearful language, not operational language
    • No named owner, no named outcome, no named guardrail

    Success before progressing

    Leadership names why AI matters to this mission — and commits to designing a responsible path forward before selecting a tool.

  2. 02

    Learning together

    Exploratory

    Leaders begin learning in the open. Pilots are small, sponsored, and framed as learning — not as production. Vocabulary aligns across the team, and the first responsible-use guardrails appear.

    Indicators leaders see

    • A named sponsor and a shared learning vocabulary
    • One or two scoped pilots tied to real workflows
    • Early responsible-use guardrails drafted and shared
    • Staff are invited to learn, not left to figure it out alone

    Success before progressing

    One capability ships end-to-end, is measured against a stated outcome, and produces evidence the team can teach from.

  3. 03

    Producing outcomes

    Applied

    AI is embedded in real workflows and measured against real outcomes. Governance, adoption, and improvement are operating disciplines — not one-time events. Confidence rises because evidence rises.

    Indicators leaders see

    • Multiple capabilities shipped, each tied to a named outcome
    • A live governance model with audit trail and review cadence
    • Adoption enablement — facilitator guides, briefings, training — in regular use
    • Leadership reports outcomes, not usage

    Success before progressing

    The organization can point to sustained mission outcomes it could not produce before — and knows exactly how it produced them.

  4. 04

    Continuous stewardship

    AI-Native

    The framework is how the organization operates. New capabilities move through the same phases, principles, architecture, and Heartbeat as every prior one. Renewal is a rhythm, not a project.

    Indicators leaders see

    • New work is designed inside the framework by default
    • The Heartbeat drives quarterly reviews, retirements, and renewals
    • Leaders coach, board reports use framework language, culture reinforces it
    • The organization contributes learning back into the framework it uses

    Success before progressing

    Responsible AI adoption is a permanent organizational capability — mission-aligned, humanly designed, and continuously stewarded.

Up next

Once you know where you are, you need a repeatable way to move.

Level 3 introduces the Ten-Phase Methodology — the implementation cycle that turns strategic intent into shipped, human-centered AI capabilities, no matter which transformation phase you are in.

Continue to Level 3 ↓

Level 3 · Implementation Methodology

The Ten-Phase Methodology — the implementation playbook.

Each phase informs the next. Together they take a vision from strategic foundation to a governed, continuously improving production capability — with no gaps left to chance. Every phase names its purpose, key questions, deliverable, and the beat of the AI Heartbeat it sustains.

How to read this section

The Ten Phases are the durable pattern beneath every AI Experience Framework™ engagement. Open any phase to see what it produces, the executive questions it answers, and how it feeds the AI Heartbeat that sustains the work over time.

Purpose

Phases 1–3 establish direction. Phases 4–6 engineer the capability. Phases 7–10 embed, measure, and govern it. The rhythm is the same at every scale — from a solo founder to a leadership team.

Tap any phase to expand its description, key questions, deliverable, and Heartbeat connection.

Up next

A methodology needs the engineering standard that shapes every prompt inside it.

Level 4 introduces the Four-Layer Prompt Architecture — Situation, Intent, Specification, and Quality — how every AI capability is engineered inside the methodology.

Continue to Level 4 ↓

Level 4 · Engineering Standard

The Four-Layer Prompt Architecture — how every AI capability is engineered.

The Four-Layer Architecture defines how leaders structure AI thinking before prompting. These four architectural layers — Situation, Intent, Specification, and Quality — provide the strategic blueprint for high-quality AI interactions. The 14 Executive Components (Level 5) then operationalize each layer into repeatable leadership practices that teams execute every day.

Layer L1

Situation

Establish the situation the AI must understand before it can be useful — the strategic backdrop that shapes every prompt.

Guiding question
What world is this prompt operating in?

Components in this layer

  • Context
  • Problem Statement

Layer L2

Intent

Name the outcome, the audience, and the experience the work must produce.

Guiding question
Who is this for, and what must it accomplish?

Components in this layer

  • Objectives
  • Audience
  • Desired Experience

Layer L3

Specification

Define what must be built — functionally, in content, in design, and in technology.

Guiding question
What exactly must the capability do?

Components in this layer

  • Functional Requirements
  • Content Requirements
  • Design Requirements
  • Technical Requirements

Layer L4

Quality

Set the bar the work must clear to ship — and the runway after launch.

Guiding question
How will we know it's right, safe, and ready?

Components in this layer

  • Accessibility
  • Security
  • Testing
  • Acceptance Criteria
  • Future Enhancements

The Four-Layer Prompt Architecture™ defines the structure for designing intentional AI experiences.

The 14 Executive Components™ operationalize each layer by providing the detailed executive design considerations required to build consistent, scalable, secure, and human-centered AI experiences.

From architecture to execution

Operationalizing the Four-Layer Prompt Architecture™

Continue to Level 5 ↓

Level 5 · Executive Operating System

Fourteen executive components — organized beneath the architecture they operationalize.

Each of the four architecture layers is brought to life by a specific set of executive components. Together they form the detailed design system that ensures nothing essential is overlooked during design, implementation, validation, and continuous evolution.

Layer L1 · Architecture

Situation

Establish the foundation of the AI experience.

2 executive components ↓

Layer L2 · Architecture

Intent

Define why the experience exists and who it serves.

3 executive components ↓

Layer L3 · Architecture

Specification

Translate intent into executable design requirements.

4 executive components ↓

Layer L4 · Architecture

Quality

Ensure every AI experience is trustworthy, secure, accessible, and continuously improving.

5 executive components ↓

The Four-Layer Prompt Architecture™ tells us how to structure an AI experience.

The 14 Executive Components™ ensure nothing essential is overlooked during its design, implementation, validation, and continuous evolution.

Together, the Four-Layer Prompt Architecture™ and the 14 Executive Components™ create a complete AI Experience Design System.

Up next

Every level above only stays alive because of one continuous rhythm.

Level 6 introduces the AI Heartbeat™ — the continuous intelligence and feedback layer that pulses through every phase, layer, and component, keeping the framework alive long after launch.

Continue to Level 6 ↓

The rhythm of sustainable AI

The AI Heartbeat™

The rhythm that keeps AI aligned with people, purpose, trust, and continuous improvement.

The AI Experience Framework provides the methodology. The AI Heartbeat provides the rhythm.

Organizations often focus on deploying AI. Successful organizations learn how to sustain it.

Just as a heartbeat keeps the body alive, the AI Heartbeat keeps AI initiatives healthy long after launch by creating an ongoing rhythm of alignment, learning, governance, measurement, and renewal.

AI transformation is not a one-time event. It is a living capability.

The seven beats

One continuous rhythm. Seven points of stewardship.

Select any beat to explore it. The heartbeat keeps pulsing as you navigate.

AIHeartbeat

Tap a beat · ← → to navigate

Beat 1 of 7

Purpose

Everything begins with purpose — the human problem AI is being asked to solve.

Why it matters

Without an anchored purpose, AI initiatives become technology searching for a problem. Purpose aligns budget, talent, governance, and adoption around a single answer to 'why are we doing this?'

Executive questions

  • Why are we building this — and for whom?
  • What human problem are we solving?
  • How does this support our mission and strategy?
  • How will we know purpose is being honored over time?

Common mistakes

  • Starting with the model instead of the mission.
  • Confusing efficiency gains with strategic value.
  • Letting the loudest use case win, regardless of fit.

Real-world example

A health system replaced a vague 'AI for productivity' charter with a purpose statement focused on reducing clinician documentation burden — narrowing scope, accelerating funding, and unifying the rollout team.

Related framework components

  • Context
  • Problem Statement
  • Objectives
Without purpose, AI becomes technology searching for a problem.

A loop, not a line

Continuous AI Transformation

  1. Purpose
  2. Trust
  3. Learning
  4. Governance
  5. Adaptation
  6. Measurement
  7. Renewal
  8. Purpose

Architecture + Rhythm

Two systems. One sustainable transformation.

The Architecture

The AI Experience Framework™

Provides the methodology for designing, implementing, and governing mission-aligned, responsible AI adoption.

The Rhythm

The AI Heartbeat™

Provides the continuous operating cadence that sustains AI through trust, learning, governance, adaptation, measurement, and renewal.

Architecture + Rhythm = Sustainable AI Transformation

The AI Experience Framework provides the architecture.
The AI Heartbeat provides the rhythm.
Together they create AI systems that continue learning, adapting, and delivering value long after deployment.
— Kimberly J. Lewis, M.Div.

Framework Principles · The philosophy that governs the framework

Six design beliefs that guide every level above.

Now that the six levels are complete, the principles are the philosophy that governs them. They are not another level — they are the mindset every decision inside the framework is measured against.

Principle 01

Mission Before Technology

Technology should always serve mission, values, and human outcomes — not the other way around.

Executive example

A neighborhood church tempted to buy an all-in-one AI platform first names the outcome — return one working day each week to pastoral care and community presence — and only then chooses the narrow set of workflows (weekly communication drafts, sermon planning notes) that actually serve that mission.

Business implication

Without a named mission, AI adoption defaults to whatever tool is loudest. Naming the mission first turns AI from a purchase into a stewardship decision — and gives every downstream choice a values-aligned test.

How to practice it

  • →Write the mission outcome before naming any tool
  • →Define the human and community metrics the work will be judged by
  • →Set aside any AI experiment that cannot map back to a stated outcome

Principle 02

AI is a Cognitive Prosthetic

AI extends human thinking the way eyeglasses extend vision. It augments judgment, accelerates learning, and reduces cognitive load — it does not replace the human.

Executive example

A two-person nonprofit uses an AI drafting assistant to turn field notes from a family visit into a first draft of a grant narrative in minutes. The executive director still authors the final version; the prosthetic removes the drudgery so lived experience and judgment can do the work that matters.

Business implication

Teams that frame AI as a replacement create fear, resistance, and brittle work. Teams that frame AI as a prosthetic create trust, capability, and durable adoption at any size.

How to practice it

  • →Name the human decision the AI is augmenting, not automating
  • →Design the handoff between AI output and human judgment explicitly
  • →Measure decision quality and lives served, not AI usage volume

Principle 03

Experience Determines Adoption

People adopt experiences, not technologies. The quality of the human experience surrounding AI decides whether a capability is trusted, used, and sustained.

Executive example

Two small nonprofits try the same AI writing tool for donor updates. The one that pairs it with a clear voice guide, a founder review step, and a monthly rhythm sees donor open rates climb and staff use the tool weekly. The other adopts nothing and quietly shelves the experiment.

Business implication

Identical tools produce wildly different outcomes based on the human experience around them. Experience is not a polish layer applied at the end — it is the variable that decides whether AI actually serves the mission.

How to practice it

  • →Design the human journey before choosing the tool
  • →Treat review, override, and voice guides as required surfaces
  • →Test with real staff and volunteers in real workflows before expanding

Principle 04

One Capability Before Many

Master one capability — one page, one workflow, one decision — before adding another. Depth earns the right to breadth, especially on lean teams.

Executive example

A solo service-based business owner who wanted 'AI everywhere' instead shipped one capability first: reusable proposal drafts tied to her standard service descriptions. Within a quarter, proposals went out faster, close rates improved, and the same pattern was ready to be reused for onboarding and follow-up.

Business implication

Sprawling AI experiments produce noise. Mastered single capabilities produce real time returned, real trust earned, and a repeatable pattern for the next workflow.

How to practice it

  • →Scope every initiative to one capability, one audience, one workflow
  • →Define what 'good enough to use this week' looks like before starting
  • →Treat the first capability as the template for the next ten

Principle 05

Governance by Design

Responsible-use guardrails, consent, and accountability are designed into the first prompt — never retrofitted after launch.

Executive example

A faith-based school bakes formation-first guardrails into every teacher-facing AI workflow — what AI may draft, what it must never touch, whose voice each message must sound like, and a termly faculty review — before a single parent ever receives an AI-assisted note.

Business implication

Guardrails retrofitted after launch are far more expensive and never fully close the gap. Guardrails designed into the first prompt are invisible to the community and defensible to the leaders responsible for it.

How to practice it

  • →Treat responsible-use guardrails as a Phase 4 decision, not a Phase 10 patch
  • →Keep a simple record of what AI helped produce, and who reviewed it
  • →Make the human override as easy to find as the AI suggestion

Principle 06

Measure Human and Mission Outcomes

Measure improved decision quality, capability, adoption, and mission impact — not AI utilization. Outcomes prove value; usage does not.

Executive example

Instead of reporting 'prompts run this month,' a small nonprofit reports on-time grant submissions, monthly donor updates sent, and hours returned to direct service — the measures its board and its community actually care about.

Business implication

Usage metrics flatter a dashboard but never reach the people you serve. Mission outcomes earn the trust of your board, your donors, and your community — and tell an honest story about why AI belongs in your work.

How to practice it

  • →Pair every capability with one mission outcome and one human outcome
  • →Report mission outcomes alongside — or instead of — usage numbers
  • →Tie continuous improvement to outcome drift, not feature wishlist

Organizations we empower

Built for organizations that lead with purpose.

The AI Experience Framework™ helps mission-driven organizations and growing businesses adopt AI intentionally, responsibly, and sustainably — aligning technology with purpose, people, and measurable outcomes.

Primary audience

Faith-Based Organizations

Churches, denominations, ministries, seminaries, Christian schools, faith-based nonprofits, and kingdom entrepreneurs adopting AI in alignment with mission, values, and the people they serve.
  • → Embrace AI without compromising mission, theology, or trust
  • → Build ministry-centered AI experiences that serve congregations and communities
  • → Equip leaders to govern AI use with wisdom and intentionality

Mission-driven

Nonprofits & Foundations

Nonprofits, foundations, and community organizations using AI to extend impact, strengthen programs, and serve more people without losing the human touch at the center of the work.
  • → Responsible AI adoption tied to mission outcomes
  • → Stronger programs, operations, and donor engagement
  • → Sustainable transformation that respects the people you serve

Education

Educational Institutions

Schools, colleges, seminaries, and workforce development organizations preparing learners and faculty to engage AI thoughtfully, ethically, and with measurable outcomes.
  • → Curriculum and faculty development grounded in ethical, responsible AI
  • → Frameworks for student-facing AI experiences that build trust
  • → Governance and policy guidance for institutional adoption

Civic & community

Community Organizations

Chambers of Commerce, civic organizations, and community institutions using AI to strengthen local impact, support members, and modernize the way they serve.
  • → Practical AI adoption matched to capacity and resources
  • → Tools and processes that amplify staff and volunteer effort
  • → Trust-first design for the communities you represent

Growing businesses

Small & Mid-Sized Businesses

Professional services firms, healthcare practices, family-owned businesses, small manufacturers, financial services firms, and startups that want thoughtful AI adoption without unnecessary complexity.
  • → A practical methodology for adopting AI with purpose
  • → Quality thinking matched to your size, team, and stage
  • → Measurable outcomes tied to the work that drives your business

Portfolio

AI Experience Framework™ in action.

Real, live projects designed, built, or led by Kimberly J. Lewis — including the AI Experience Framework™ itself, Understanding Neurodiversity, Kingdom Sermon Architect, and the Kingdom Gifts Assessment for God's Diamonds. Each is a shipped platform demonstrating responsible, mission-aligned AI adoption.

AI Experience Framework™ — AI Experience Framework™ case study
01AI Strategy & Organizational Framework · Live

AI Experience Framework™

AI Experience Framework™ Case Study

Business Challenge

Mission-driven organizations want to adopt AI, but most available guidance is written for large-scale change programs. Leaders of ministries, nonprofits, and small businesses need a framework that respects their scale, values, and stewardship responsibilities.

Framework Applied

Designed and shipped the AI Experience Framework™ — Four Transformation Phases, a Four-Layer Prompt Architecture, and fourteen Executive Components — as a living, publicly accessible methodology, paired with curriculum, facilitator resources, and downloadable executive artifacts.

Business Outcome

A live public platform, educational curriculum, and facilitator ecosystem that leaders can use to move from AI curiosity to responsible, sustainable adoption without hiring a consulting firm.

View Case Study Visit ↗
Understanding Neurodiversity — AI Experience Framework™ case study
02Nonprofit AI Learning Platform · Live

Understanding Neurodiversity

AI Experience Framework™ Case Study

Business Challenge

Neurodiversity is widely discussed but poorly understood. Families, educators, employers, and ministry leaders often lack accessible, trustworthy, research-grounded resources to guide learning, accommodations, and inclusion.

Framework Applied

Designed and shipped a free educational platform that pairs AI-assisted learning with curated scholarly resources, personalized educational pathways, and training tracks for individuals, organizations, and ministry leaders.

Business Outcome

A live, publicly accessible learning platform that helps a wide audience — from parents to HR leaders to pastors — understand neurodiversity and act on that understanding with confidence.

View Case Study Visit ↗
Kingdom Sermon Architect — AI Experience Framework™ case study
03Faith-Based AI Platform · Live

Kingdom Sermon Architect

AI Experience Framework™ Case Study

Business Challenge

Preachers regularly move from biblical study to proclamation under real time constraints. Generic AI tools ignore theological method; traditional workflows can feel isolating. Pastors need a structured companion that honors sound preaching practice.

Framework Applied

Designed and shipped an AI-powered sermon development platform that guides the preacher through a structured theological workflow — study, interpretation, structure, application, delivery — informed by respected preaching traditions, with the pastor in the lead at every step.

Business Outcome

A live platform pastors and Bible teachers use to strengthen sermon development from exegesis to proclamation — with theological method preserved and the preacher's voice always in front.

View Case Study Visit ↗
Kingdom Gifts Assessment — AI Experience Framework™ case study
04AI-Powered Assessment Platform · Live

Kingdom Gifts Assessment

AI Experience Framework™ Case Study

Business Challenge

Many believers struggle to understand their spiritual gifts and how to use them within their churches, communities, and everyday lives. Most assessments stop at a category label — leaving no personalized next steps for stewardship and service.

Framework Applied

Designed and shipped a mission-aligned digital assessment for God's Diamonds: a guided, scripture-anchored questionnaire, AI-assisted interpretation of the results, a personalized gift profile, and individualized recommendations for service — all inside a free, mobile-friendly nonprofit resource.

Business Outcome

A live assessment that makes spiritual-gifts education accessible, encourages deeper engagement with biblical learning, gives each participant concrete next steps for service, and models responsible AI adoption for a small faith-based nonprofit.

View Case Study Visit ↗

Industries Served

One framework. Many missions.

The AI Experience Framework™ is written for community-rooted organizations — faith-based institutions, nonprofits, and small independent businesses — that want to adopt AI with purpose, trust, and dignity.

  • Churches & Congregations
  • Ministries & Denominations
  • Faith-Based Schools & Seminaries
  • Small & Community Nonprofits
  • Foundations & Community Organizations
  • Solo Entrepreneurs
  • Small Service-Based Businesses
  • Family-Owned & Local Businesses
  • Volunteer & Lay Leadership Teams

The AI Experience Framework™ is not a single solution — it is a repeatable methodology for designing trustworthy, mission-aligned AI experiences inside ministries, nonprofits, and small independent businesses.

Explore the Framework →

Educational offerings

Learn, teach, and lead with the AI Experience Framework™ in your organization.

An independent educational framework for AI literacy, responsible AI leadership, and AI experience design. Offerings include leadership education, AI literacy workshops, ministry & nonprofit AI workshops, small-business AI adoption workshops, speaking engagements, research collaboration, framework licensing (future), and books & publications — not consulting engagements.

Executive education

AI Leadership Education

A multi-session educational program for leadership teams — executive, pastoral, academic, nonprofit, or founder-led — that builds AI literacy, responsible AI leadership, and a shared learning language for adopting AI with purpose.
  • → AI literacy and shared vocabulary across the leadership team
  • → Six-principle learning framework applied to your current AI questions
  • → Responsible AI, ethical AI, and AI stewardship guardrails
  • → Organizational learning plan and adoption narrative for your people

AI literacy workshops

AI Literacy & Experience Workshops

Hands-on educational workshops for staff, faculty, ministry teams, program leads, students, and community members who want to build AI literacy and practice responsible AI experience design.
  • → AI literacy foundations and prompt architecture
  • → Human Experience in AI and AI Experience Design
  • → Responsible AI Experiences and ethical practice
  • → Applied exercises grounded in your organization’s context

Speaking & research

Keynotes, Leadership Education & Research Collaboration

Keynote speaking, leadership education, and research collaboration for ministries, nonprofits, universities, small businesses, and mission-driven communities exploring responsible AI adoption and AI success enablement.
  • → Keynote speaking and conference talks
  • → Leadership education series for boards, councils, and cohorts
  • → Research collaboration on responsible AI and AI experience
  • → Framework licensing (future) and books & publications

Deep instructional content — lesson plans, speaker notes, workshop guides, decks, workbooks, exercises, and facilitator scripts — lives in the Facilitator Portal. Facilitator Login →

Review the latest positioning update summary →

Leadership workshop

The AI Heartbeat Leadership Workshop.

A highly interactive half-day educational workshop that equips leaders to build responsible AI experiences and organizational AI literacy using the AI Experience Framework™. Together, we’ll apply the framework to one of your organization’s highest-priority AI learning questions and leave with practical next steps your leadership team can begin practicing immediately.

Workshop options

Three formats

90 Minutes

Executive Briefing

A concise educational overview of the AI Experience Framework™, AI Heartbeat™, and practical principles for responsible AI leadership and AI literacy.

Ideal for

  • Executive Teams
  • Board Meetings
  • Leadership Retreats
  • Conference Keynotes
Primary recommended offering

Half Day

Leadership Workshop

An interactive working session where leadership teams apply the AI Experience Framework™ to one of their organization's most important AI opportunities.

Deliverables include

  • Leadership alignment
  • AI literacy prioritization
  • Responsible AI discussion
  • Risk identification
  • Human Experience in AI principles
  • Initial learning roadmap

Full Day

Leadership Experience

A deeper educational experience that includes facilitated exercises, collaborative planning, governance discussion, prompt architecture instruction, and leadership learning roadmap development. Ideal for organizations preparing to build long-term AI literacy and responsible AI practices.

Designed for

  • Multi-cohort leadership education programs
  • Cross-functional learning cohorts
  • University, ministry, and nonprofit alignment
  • Board- and council-ready AI literacy

What leaders leave with

  • Shared leadership understanding of AI literacy
  • Practical responsible AI and ethical AI considerations
  • Human Experience in AI design principles
  • Prioritized AI learning opportunities
  • Leadership decision-making framework
  • Actionable roadmap for organizational learning
“The goal isn’t simply to adopt AI.
It’s to lead AI in a way people trust.”
— Kimberly J. Lewis
Kimberly J. Lewis, M.Div. — Creator of the AI Experience Framework\u2122

Executive credentials

  • Founder — Kingdom Advancement Strategists
  • Creator of the AI Experience Framework™
  • Organizational Change & AI Transformation Leader
  • Executive Facilitator
  • Brain Economy Summit Contributor
  • Founder — God's Diamonds
  • Creator — Kingdom Sermon Architect™
  • Creator — Kingdom Advancement AI
  • Creator — Kingdom Gifts AI

Meet the creator

Kimberly J. Lewis, M.Div.

Independent creator of the AI Experience Framework™. Educator, researcher, and thought leader on responsible AI, AI literacy, and organizational learning. Ordained minister.

Organizations do not need more AI tools. They need people who know how to learn, teach, and lead with AI so it is trusted, adopted, and stewarded well.

Kimberly’s independent scholarship draws on decades of leadership across strategy, organizational development, technology, and education — disciplines she now brings to a defining shift for mission-driven organizations, universities, ministries, nonprofits, and growing businesses: the responsible, ethical adoption of artificial intelligence.

The AI Experience Framework™ is her response — an independent educational methodology that helps leaders align learning, governance, culture, and the human experience of AI so organizations build lasting AI literacy and responsible AI practices.

Education & recognition

  • →M.Div. (highest honors) — Samuel DeWitt Proctor School of Theology, Virginia Union University
  • →Ed.D. in Organizational Leadership (in progress) — Abilene Christian University
  • →B.S. Chemical Engineering — Prairie View A&M University
  • →DEI Certification — Cornell University
  • →Certified Life Coach — Life Coach Institute
  • →Recipient — Samuel DeWitt Proctor Preaching & Leadership Award

A personal invitation

“Whether you are developing an AI strategy, educating executive leaders, launching responsible AI initiatives, or transforming how your organization works, I would welcome the opportunity to discuss how the AI Experience Framework can support your goals.”

— Kimberly J. Lewis, M.Div.

Contact KimberlyBook a Leadership Workshop

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