AI Workflow Expert Certification
AI Workflow Expert
Program Overview
The AI Workflow Expert (AIWE) Certification is a 9-week advanced professional training program designed exclusively for economic development leaders who must integrate AI into the daily functions of their organization. This program stands apart from general AI courses, university automation modules, and conceptual trainings.
AIWE centers on workflow-level execution — the level where AI directly impacts: business retention and expansion (BRE), workforce alignment, RFI response performance, internal operations and process efficiency, stakeholder communication and policy analysis, leadership decision-making and productivity.
Throughout the program, participants apply AI to their actual work, not hypotheticals. Every session is built around real deliverables, relevant to the unique accountability, governance, and public/private-sector requirements Economic Development Organizations (EDOs) face.
This is not an academic exercise. This is organizational transformation.
Purpose & Intent
AIWE was created because EDO executives face a widening gap: Introductory AI workshops build awareness but fail to build capability. Enterprise consultants deliver templates, but not skills. University automation courses lack EDO-specific application, public-sector nuance, and workflow-level practicality. Generic business AI programs overlook BRE, RFIs, workforce development, incentives analysis, and civic accountability.
AIWE fills that gap by equipping leaders with:
- Frameworks for AI-driven clarity, decision systems and strategic alignment tools
- Workflow architecture capabilities
- Productivity and organizational development practices
- Public-sector AI ethics and compliance guardrails
Who This Program Serves
This certification is designed for leaders who:
- Serve as Executive Directors, CEOs, COOs, VPs, or senior strategy officers within an EDO, chamber, alliance, or public-private partnership
- Hold responsibility for organizational performance, impact, board reporting, and community outcomes
- Possess the authority—or mandate—to evaluate, adopt, and scale AI tools within their organization
- Seek immediate, measurable outcomes through applied AI workflows
- Want clarity, confidence, and fluency—not hype
Participants typically represent: municipal EDOs, county or regional EDOs, chambers of commerce, regional alliances or P3s, economic development divisions within city or county governments, rural and small-market EDOs seeking innovative leverage.
Why This Program Now
The AI landscape is increasingly noisy—overcrowded with tools, templates, webinars, and unverified claims. But economic developers require signal, not noise.
Why now? Boards and councils are asking "What is our AI strategy?" Workforce challenges require rapid, data-driven alignment. BRE and RFI expectations demand speed and sophistication. Funding cycles, grant requirements, and stakeholder engagement now rely on AI-enhanced productivity. Public-sector accountability requires ethical and defensible use of AI.
AIWE prepares leaders to meet these demands — intelligently, responsibly, and with measurable ROI.
Learning Outcomes
Map and Analyze Organizational Workflows
Conduct workflow mapping tailored to EDO operations (BRE, RFIs, workforce alignment, incentives, prospect pipelines). Identify repetitive processes suitable for automation. Distinguish between strategic vs. administrative tasks for AI delegation. Analyze time and cost baselines for ROI measurement.
Academic Objective: Demonstrate proficiency in workflow analysis and organizational systems thinking within mission-driven, public-sector environments.
Architect and Implement Applied AI Workflows
Build end-to-end AI workflows that support or enhance economic development deliverables. Apply AI to real organizational outputs—including RFI responses, workforce briefs, BRE summaries, policy analysis, and board reports.
Academic Objective: Apply AI as a transformation tool (not a task-level tool) to solve complex problems in economic development.
Use AI for Strategic Thinking, Policy Research & Decision Support
Rapid knowledge acquisition on industry, workforce, and legislative issues. Scenario planning and decision analysis using AI as a strategic thought partner. Synthesizing data and insights into defensible recommendations.
Academic Objective: Demonstrate mastery of AI-supported research and decision analysis designed for public-sector accountability.
Evaluate and Report ROI of AI Adoption
Quantify productivity gains, time saved, and cost avoidance. Generate board-ready ROI summaries and performance dashboards. Report annualized impact of workflows based on measurable outputs.
Academic Objective: Produce evidence-based ROI reporting aligned with EDO governance, board oversight, and stakeholder transparency.
Adapt AI to Multi-Role, Multi-Stakeholder Environments
Build workflows that span multiple roles or departments. Evaluate multi-step processes through an AI-enabled lens. Facilitate team adoption of workflows across staff, contractors, and partners.
Academic Objective: Demonstrate leadership competence in scaling AI across organizational systems, not individual roles.
Apply Ethics, Governance & Public-Sector Guardrails
AI governance frameworks relevant to public institutions. Data privacy, bias, and compliance considerations for EDOs. Ethical constraints on communications, public accountability, and transparency.
Academic Objective: Integrate ethical and compliance frameworks into AI-enabled workflows in a way that is defensible and aligned with civic responsibility.
Lead Organizational Change Through AI Readiness
Build internal capacity for AI adoption. Create role clarity, priority systems, and leadership operating rhythms. Introduce AI through practical, low-risk, high-ROI workflows.
Academic Objective: Demonstrate leadership fluency in orchestrating cross-organizational change driven by workflow transformation.
Curriculum Structure
The AI Workflow Expert Certification follows a 9-belt progression model—a structured, competency-based learning pathway that mirrors academic progression from foundational comprehension to executive-level workflow architecture. This martial-arts-inspired framework:
- Scaffolds learning from simple to complex
- Provides clear benchmarks of competency
- Facilitates assessment through weekly deliverables
- Builds confidence and mastery in workflow design
- Ensures meaningful measurable application inside EDO environments
Participants move from AI consumer (Grey Belt) to AI architect (Black Belt) over nine weeks.
Grey Belt: Mapping Your Role with AI for Clarity and Focus
Learning Objectives: Create strategic matrices that identify economically valuable deliverables AI can support in your specific role, industry, and organization size. Prioritize highest-impact opportunities for AI implementation.
In-Session Work: Build your personalized 9x9 workflow matrix. Select 8 deliverables to tackle over the remaining weeks.
Homework: Submit completed role-mapping matrices. Log deliverable completion and ROI impact in Transformation Journal.
White Belt: Understanding What AI Can Do in Your Organizational Context
Learning Objectives: Understand generative AI fundamentals and limitations. Distinguish between AI capabilities and hype. Identify your organization's readiness for AI adoption.
In-Session Work: Assess current workflows and pain points in your EDO. Explore the AI MBA platform and 3,276 pre-built workflows. Begin working on your first selected deliverable.
Homework: White Belt comprehension will be demonstrated through all subsequent deliverables. Log deliverable completion and ROI impact in Transformation Journal.
Yellow Belt: Setting Goals and Action Plans with AI Support
Learning Objectives: Translate strategic priorities into AI-executable workflows. Use AI to generate action plans, timelines, and accountability structures.
In-Session Work: Apply AI to a real goal or initiative from your organization (e.g., Q4 business retention strategy, workforce development plan).
Homework: Submit AI-generated action plan with measurable milestones. Log deliverable completion and ROI impact in Transformation Journal.
Orange Belt: Adaptive Learning — Mastering Knowledge on Demand
Learning Objectives: Use AI as a research and learning acceleration tool. Master rapid knowledge acquisition for emerging topics (e.g., new legislation, industry trends, competitor analysis).
In-Session Work: Conduct real-time research on a knowledge gap relevant to your work (e.g., semiconductor supply chain impacts, rural broadband policy).
Homework: Submit research brief or knowledge synthesis document. Log deliverable completion and ROI impact in Transformation Journal.
Green Belt: Partnering with AI for Critical Thinking and Decision-Making
Learning Objectives: Elevate AI from task executor to strategic thought partner. Use AI to stress-test decisions, identify blind spots, and evaluate trade-offs.
In-Session Work: Apply AI to a live decision scenario (e.g., site selection criteria, incentive package structure, partnership evaluation).
Homework: Submit decision analysis or strategic recommendation. Log deliverable completion and ROI impact in Transformation Journal.
Blue Belt: From Role Ownership to Process Ownership
Learning Objectives: Shift from individual productivity to organizational systems design. Prepare workflows for agentic AI (autonomous, multi-step automation).
In-Session Work: Map a cross-functional process in your organization (e.g., RFI response workflow, business prospect pipeline).
Homework: Submit process map identifying automation opportunities. Log deliverable completion and ROI impact in Transformation Journal.
Purple Belt: Creating AI Workflows to Replace Redundant Tasks
Learning Objectives: Design reusable AI workflows that eliminate repetitive manual work. Build templates and automation for recurring EDO tasks.
In-Session Work: Create an AI workflow for a redundant task (e.g., monthly reporting, event planning, stakeholder updates).
Homework: Submit functional AI workflow with usage documentation. Log deliverable completion and ROI impact in Transformation Journal.
Brown Belt: Building Multi-Role, Cross-Functional Processes
Learning Objectives: Design AI workflows that span multiple departments or stakeholder groups. Coordinate AI tools across team members for seamless collaboration.
In-Session Work: Build a cross-functional workflow (e.g., business recruitment pipeline from lead generation to onboarding, workforce training program rollout).
Homework: Submit multi-role process workflow. Log deliverable completion and ROI impact in Transformation Journal.
Black Belt: Tool and Deliverable Hacking
Learning Objectives: Master advanced AI techniques: custom GPT creation, API integrations, workflow automation chains. Innovate beyond templates to create bespoke solutions for unique organizational challenges.
In-Session Work: Build a custom AI tool or deliverable that addresses a high-stakes challenge in your organization.
Homework: Submit final capstone project: custom AI tool or deliverable with ROI analysis. Log deliverable completion and ROI impact in Transformation Journal.
Capstone Project Requirements
Each participant completes a capstone demonstrating:
- Workflow design capability
- Applied research or strategic output
- Automation readiness
- ROI impact
- Public-sector/EDO application
Examples: AI-enabled RFI response system, BRE intel automation and dashboard, Workforce strategy generator, Incentive analysis toolkit, Cross-functional stakeholder alignment workflow.
Certification Requirements
- Attend (or watch replays of) all 9 live sessions (synchronous or asynchronous participation permitted)
- Submit weekly deliverables (one per belt progression, deliverables represent real organizational outputs)
- Demonstrate competency in each belt's learning objectives (focus on applied understanding, not technical coding)
- Complete transformation journal entries (capturing workflow completion, time saved, and productivity impact)
Program-Level Learning Goals
Goal 1 — AI Fluency
Develop a clear, confident understanding of how AI functions in an EDO environment—from research and strategy to operations and communications.
Goal 2 — Workflow Mastery
Build the ability to architect, adapt, and deploy workflows that accelerate institutional performance.
Goal 3 — Leadership Capability
Prepare leaders to guide teams, boards, and stakeholders through AI-enabled transformation.
Goal 4 — Measurable Organizational Impact
Enable learners to identify, quantify, and report the real-world productivity and economic value of AI adoption.
How AIWE Compares
A side-by-side comparison with other AI training options:
| Dimension | AIWE Certification | University AI Programs | General AI Overviews |
|---|---|---|---|
| Duration | 9 weeks (9 sessions) | 6-12 weeks | 2-4 hours |
| Format | Live cohort + applied implementation | Lectures + assignments | Single workshop |
| Time Commitment | 60 min/week | 8-10 hours/week | 2-4 hours total |
| Industry Relevance | EDO-specific: BRE, RFI, workforce, incentives | Generic business automation | General AI awareness |
| Depth of Learning | Advanced: design → deploy → measure ROI | Foundational: prompt writing + tools | Surface-level introduction |
| Instructor Expertise | EDO practitioner with lived executive experience | Academic or general tech expert | Association trainer or consultant |
| Certifications Earned | AIWE Certification (workflow architecture) | Single certificate of completion | None |
| Tools Included | Templates + frameworks (optional platform add-on) | Software access for limited duration | None |
| ROI Measurement | Built-in: transformation journal + analytics | Portfolio project only | Not included |
| Real-Work Application | "Work on your work"—real deliverables | Hypothetical scenarios | Conceptual |
| Public-Sector Readiness | Ethics, compliance, governance integrated | Not addressed | Not addressed |
| Leadership Development | AI-enabled operating rhythms + decision frameworks | Basic team collaboration tools | None |
| Team Scalability | Team pricing + optional platform | Individual enrollment | Organization attendance |
| Post-Program Support | Graduate program + strategy intensives | Career coaching (varies) | None |
| Investment | $2,995 | $2,495–$5,000 | $150 |
| Cost Per Hour | $278/hr | $350–$600/hr | $37.50/hr |
Value Analysis Summary
Why AIWE delivers unmatched ROI for economic development leaders:
AIWE is the only program designed exclusively for economic developers. Every framework, template, and workflow addresses real EDO challenges—BRE, RFIs, workforce, incentives, civic accountability.
Participants produce real deliverables that improve performance within weeks. Not theory. Not exercises. Real organizational outputs with measurable impact.
The curriculum strengthens decision-making, strategic clarity, and internal alignment. AI becomes a tool for executive thinking, not just task automation.
The Transformation Journal enables leaders to quantify and communicate the financial and operational value of AI adoption—essential for board reporting and stakeholder accountability.
Optional platform add-on allows organizations to extend AI capability beyond a single participant—turning individual learning into organizational capability.
The program structure mirrors the best practices of executive education—competency-based learning, applied assessment, and capstone-level synthesis.
Bottom Line: For economic development leaders seeking real transformation—not theory, not hype—AIWE delivers unmatched relevance, rigor, and ROI.
Program Investment
Full Tuition per Seat
Team Pricing: Discounts for teams of 3+ (email for details)
What Tuition Includes:
- AIWE Certification
- 9 live group coaching sessions
- On-demand replay library
- EDO-specific workflows, templates & frameworks
- Leadership & implementation support
- Applied real-work curriculum
- Academic-grade syllabus + capstone
Optional Add-On:
Simple Academy Platform — $999 / 30-Day Trial
- 8,100+ pre-built workflows
- 100+ role-specific tracks
- Full tracking + ROI dashboard
- All major training tracks
Your Instructor
Katie Milton Jordan, MBA
Katie Milton Jordan brings a rare combination of lived EDO leadership experience and cutting-edge AI implementation expertise.
As the former Deputy Director and Interim Executive Director of Kerr Economic Development Corporation, Katie led initiatives that earned three IEDC Gold Awards and co-led Project Mt Saddle—a $40M manufacturing recruitment generating 220 jobs and $58M economic impact.
Since founding SimpleEDO.ai in February 2025, Katie has trained over 400 economic development professionals in AI workflow design and delivered measurable ROI through custom AI tools deployed in real EDO environments.
MBA Ethical Leadership (Schreiner University) · Certified Business Intermediary (CBI) · Certified Exit Planning Advisor (CEPA) · Associate Certified Coach (ACC) International Coaching Federation · 40+ AI Micro-Certifications · Built 25+ custom GPT agents for EDO-specific use cases
What Graduates Say
In under 60 minutes, Katie took us from AI theory to practical application with clarity and momentum. I highly recommend it for all EDO leaders ready to move from concept to action.
I must admit I was very skeptical about this new technology, but I am now a believer that AI can have a profound impact on the Economic Development community! The results were spot on, in great detail, and very timely. Very impressive.
Katie, you are worthy of all the success you are harnessing. Thank you for being my teacher, mentor, collaborator, and in time, good friend.
Katie's workshop was the best I've attended at MEDA—practical, clear, and immediately applicable. She helped me see how AI can drive real outcomes.
Frequently Asked Questions
Contact & Enrollment
SimpleEDO.ai — AI Performance School for EDOs
Email: claudia@simpleedo.ai
Website: AI Performance School for EDOs