Stefanie Wiesen

AI transformation strategist, builder, advisor, and change leader with 10+ years of technology transformation experience connecting people, processes, data, and tech. Experienced in driving workforce AI adoption with major models and tools including OpenAI (ChatGPT Enterprise), Claude, Gemini, and Microsoft Copilot. Helps organizations move from AI experiments to practical business process reimagination and workflow improvements through strategy, readiness assessment, PRD development, process optimization, solution development, governance partnerships, and workforce enablement.

Personally builds ChatGPT Enterprise solutions, prompt libraries, Claude projects, Gemini Gems, customized Microsoft Copilot agents, and reusable AI-assisted prototypes and workflows while equipping leaders, managers, and champions to evaluate, demonstrate, and sustain them. Prosci-certified with graduate training in organizational psychology; uses employee feedback, NIST AI RMF / ISO 27001 risk considerations, and KPI measures to guide implementation, address resistance, and strengthen adoption.

AI Enablement Vice President - AI Ally Consulting

(2025-01)

• Lead AI strategy, business process reimagination, ChatGPT Enterprise enablement, custom workflow development, and adoption engagements across SaaS, legal, service, and property-management businesses.
• Partner with business owners, CEOs, CTOs, and functional leaders on use-case intake to translate business priorities into AI roadmaps, Product Requirements Documents (PRDs), user stories, launch plans, and adoption playbooks.
• Assess business, process, data, and workforce readiness through surveys, stakeholder interviews, workshops, and workflow observation; identify capability gaps, employee concerns, information-quality issues, unclear responsibilities, and barriers to implementation.
• Prioritize AI and automation opportunities by business value, feasibility, risk, data readiness, and reuse potential; help leaders distinguish useful starting points from initiatives requiring additional process, information, or technical preparation.
• Drive business process reimagination by mapping current workflows (Finance, HR, Operations, Legal) to eliminate repetitive effort and delays, co-designing simpler, AI-assisted processes before introducing automation.
• Personally build ChatGPT Enterprise custom GPTs, prompt libraries, Gemini Gems, and customized Copilot agents for drafting, policy Q&A, contract review support, finance reporting, and operational support across platforms like SharePoint and Teams.
• Develop reusable instructions covering role, goal, context, inputs, explicit steps, output formats, and constraints; incorporate strong examples and requests for missing information to improve consistency and reduce unsupported assumptions.
• Prototype workflows that transform rough notes and transcripts into structured recaps and action plans, synthesize information into usable outputs, and identify gaps in sales or project discovery for the accountable human owner.
• Establish a repeatable AI initiative lifecycle spanning discovery, readiness, prioritization, workflow design, prototyping, evaluation, adoption, monitoring, and improvement; give teams clear steps and decision points they can follow independently.
• Evaluate AI-assisted workflows using representative inputs, desired-output examples, and difficult edge cases; assess accuracy, completeness, tone, corrections, rework, time to usable output, and user experience.
• Iterate with users, champions, and technical partners through successive versions, tracing output problems to missing context, source material, instructions, or workflow design; document lessons and retest improvements.
• Establish responsible AI governance guardrails, aligning with cybersecurity, legal, and privacy teams on access controls, data retention, third-party risk assessments, and risk frameworks (NIST AI RMF, NIST CSF, ISO 27001, SOC 2).
• Develop and roll out shared frameworks, including 4Ps and RGIS, that help teams move from a business pain point to a suitable tool, effective instructions, measurable payoff, and a documented playbook.
• Serve as strategist, trainer, and translator through engaging AI 101 sessions, live demonstrations, workshops, practice groups, office hours, and coaching; make capabilities and limitations understandable and immediately relevant to each role.
• Stand up Champion and AI Wins programs with shared methods, manager accountability, feedback loops, and visible learning; equip champions as force multipliers for local discovery, demonstrations, peer coaching, troubleshooting, and results reporting.
• Partner with executives to communicate AI intentions, expectations, and boundaries clearly; address replacement concerns, demystify experimentation, and build enthusiasm through recognition, practical wins, and honest discussion of imperfect results.
• Equip managers to create space for learning, coach responsible use, reinforce new workflows, and follow through on adoption barriers; connect champion activity to business ownership rather than dependence on a central expert.
• Package successful workflows into reusable playbooks, templates, job aids, and demonstrations so teams can reproduce the approach, troubleshoot issues, maintain solutions, and share learning across functions.
• Establish feedback and reporting mechanisms that capture adoption, confidence, output quality, time, value, and lessons; use champion reports, employee feedback, and leader reviews to refine roadmaps, learning, guardrails, and implementation.
• Define capacity and business-outcome goals before experimentation, including identifying workflows capable of reclaiming at least one workday of capacity; distinguish reported benefits and projected value from independently validated financial results.

Copilot Transformation Consultant | Enterprise Microsoft Copilot AI Adoption - ICF

(2024 - 2025)

• Supported an enterprise Microsoft Copilot and OpenAI / ChatGPT Enterprise AI rollout, translating strategy and business process reimagination into a scalable enablement approach for 70,000 employees.
• Developed champion networks, learning groups, and practice-based approaches to cascade capabilities across functions; equipped local participants to demonstrate relevant applications and support colleagues.
• Served as a trainer and translator, delivering live AI demonstrations and skills-based learning that connected Copilot capabilities to everyday work, responsible use, and practical limitations.
• Partnered with business, IT, Cybersecurity, Legal, and transformation teams on readiness, risk mitigation, stakeholder engagement, communications, learning resources, and manager support.
• Used employee feedback and readiness findings to identify capability gaps, address concerns, and refine learning and reinforcement so teams could apply AI confidently in their own workflows.

Data Transformation Change Consultant | Data and Digital Modernization - FERRELLGAS

(2023 - 2024)

• Led change management, business process reimagination, and data-readiness work for PeopleSoft-to-Salesforce and IFS ERP modernization across Finance, Supply Chain, Operations, IT, and Legal.
• Facilitated cross-functional workflow and reconciliation sessions to clarify process changes, information requirements, responsibilities, and operational impacts.
• Translated technical implementation plans into stakeholder communications, training, SOPs, and practical guidance supporting new ways of working.
• Introduced AI-assisted analysis and meeting intelligence that shortened impact-assessment work from months to weeks.
• Actively collaborated with cybersecurity, IT governance, and data privacy teams during ERP modernization to evaluate AI tool security, mitigate third-party data risks, and ensure regulatory compliance and secure integration across enterprise systems (Paylocity, NetSuite).

Change Management Director | HR Transformation - NIKE

(2021 - 2023)

• Led business process reimagination and readiness for five HR transformation initiatives (Workday, ServiceNow), partnering with a 20-person consulting team, HR/IT executives, and cybersecurity leaders.
• Designed leadership cascades, roadshows, demonstrations, communications, learning, and reinforcement to help managers and employees understand what was changing and how to act.
• Used readiness findings and stakeholder feedback to target adoption barriers; achieved 41% manager training completion and 85% system adoption across HR and IT users.
• Served as the team’s OpenAI and ChatGPT Enterprise superuser, developing AI-assisted analysis workflows and prompt libraries that reduced turnaround from two weeks to three days while adhering to data privacy standards.
• Documented quality practices and reusable workflows, demonstrated the approach, and enabled colleagues to apply it to their own work.
• Partnered with cybersecurity, data governance, and risk/legal teams to establish responsible AI use policies, data retention standards, and privacy controls across internal tools.

Organizational Development Consultant | Data Operating Model - UNDER ARMOUR

(2021 - 2021)

• Defined roles, decision rights, manager communications, and working agreements across 10 Marketing and Sales executives and teams.
• Aligned eight executives around a new data operating model, translating organizational priorities into clear responsibilities and ways of working.
• Connected leadership expectations, team coordination, and communications to help business and data stakeholders operate with a shared understanding of ownership.

Program Change and Training Manager | Enterprise Data and Governance - NIKE

(2020 - 2021)

• Coordinated program, change, training, business process reimagination, and adoption activities across 20+ enterprise data and analytics initiatives in an Agile, cross-functional matrixed environment.
• Supported a data-governance hub alongside cybersecurity, compliance, and data governance teams to establish secure data pipelines, legal privacy controls, and trusted foundations for predictive analytics and AI use cases.
• Translated technical priorities and roadmaps into business communications, learning, stakeholder decisions, and adoption plans.
• Activated 90 of 150 nominated data champions through targeted engagement, workshops, planning activities, data storytelling, and manager support.
• Connected business stakeholders with transactional and dimensional data teams, clarifying expectations and establishing repeatable feedback and adoption practices.

Change Lead Sr Manager | Global Technology Transformation - DOWDUPONT

(2017 - 2019)

• Led change, business process reimagination, communications, and training for 30+ ERP, cloud, HCM, cybersecurity, automation, and data initiatives across Finance, Supply Chain, HR, and IT.
• Closely aligned with cybersecurity, cloud security, and enterprise IT governance teams across initiatives to safeguard sensitive financial/HR data, manage access controls, and enforce security policies during cloud and data transformation.
• Coordinated global stakeholders and delivery teams across North America and Asia, translating technical changes into role-relevant expectations and implementation guidance.
• Developed advocate networks and reusable enablement resources to support local engagement, readiness, and adoption across multiple implementations.
• Enabled 300 partners to co-develop data products during a cloud data migration, connecting technical delivery with business participation and capability building.

Director | Nonprofit Data and Program Evaluation - MIDWEST EVALUATION

(2015 - 2018)

• Built quantitative and qualitative evaluation frameworks, KPIs, dashboards, and reporting approaches that helped nonprofit clients demonstrate outcomes and improve programs.
• Trained clients to interpret their data, communicate results, and connect evidence to program decisions and grant requirements.
• Developed data stories and practical guidance that helped organizations demonstrate impact and maintain grant funding.

Onboarding Manager | Remote Onboarding Program - UBER

(2014 - 2016)

• Designed a virtual onboarding program, coordinating engagement, learning, and operational support across functions.
• Analyzed participant feedback and operational data to identify barriers and improve the onboarding experience.
• Improved six-month driver retention by approximately 30% through program changes and targeted engagement.

Training and Talent Manager | Disaster Services - AMERICAN RED CROSS

(2013 - 2014)

M.A. - Organizational Psychology - Emporia State University

B.S. - Marketing, Minor in Psychology - Fort Hays State University