AI Enablement Specialist

FranklinCovey•Draper, UT

5d•Hybrid

About The Position

The AI Enablement Specialist is the human layer of FranklinCovey’s AI enablement strategy, partnering with business teams to identify practical opportunities for AI and help teams build, adapt, and adopt solutions. The role uses approved tools within FranklinCovey’s governed AI model and tiered review process to move ideas from experimentation into safe operating practices. The specialist demonstrates AI possibilities, trains business users to build agents, prompts, and low-code workflows, prototypes assistants and automations, and evaluates AI outputs for accuracy and policy alignment. The role also supports responsible adoption, develops enablement resources, measures business outcomes, and collaborates with IT, Security, Legal, AI Champions, and the AI Council.

Requirements

Bachelor’s degree in a related field or equivalent experience.
At least 1 year of professional experience in a business, operations, analyst, training, process improvement, or technical role.
Experience using generative AI tools such as Claude, Copilot, or ChatGPT.

Nice To Haves

Experience using generative AI tools to solve real work problems, including iterative prompting and checking output quality.
Strong written and verbal communication skills, including explaining AI to non-technical audiences.
Ability to map a business process and identify where AI can improve it.
Understanding of responsible AI use and data privacy.
Enthusiasm for AI and seeing it as a way to solve business needs.
Ability to ask insightful questions and solve problems across multiple teams and functions.
Storytelling ability to clearly and confidently convey business value to non-technical audiences.
Ability to build relationships and gain the trust of skeptical stakeholders.
Coachability and willingness to receive and implement feedback.
Curiosity, a growth mentality, and willingness to take on challenges.
Self-motivation and initiative in overcoming challenges.
Experience building low-code automations, simple agents, or scripts into working demos; Power Platform, Copilot Studio, n8n, or Python preferred.
Familiarity with agent concepts such as tool calling, RAG, and MCP.
Familiarity with Microsoft 365, Dynamics 365, or business intelligence tools.
Experience running office hours, a champion network, or peer training; change management or instructional design background.
Experience documenting processes and creating SOPs or templates.

Responsibilities

Partner with business teams to identify repeatable, high-frequency work suitable for AI and capture ideas through the designated intake channel.
Demonstrate AI possibilities through live demonstrations and quick builds.
Train business users through hands-on sessions and labs to build and adjust agents, prompts, and low-code workflows with approved tools.
Prototype simple AI assistants, agents, and automations using real data; document assumptions and limitations and hand successful pilots to supporting teams.
Test AI outputs for accuracy, consistency, and policy fit, and recommend improvements to prompts, data grounding, or agent design.
Encourage adoption as a trusted peer and respond to questions and skepticism.
Apply the three-tier risk model and guide teams on appropriate review paths, partnering with IT, Security, and Legal to support secure and compliant adoption.
Help teams define the problem, business owner, and baseline metric for each use case before development begins.
Create and maintain enablement materials, including guides, FAQs, templates, and a shared library of prompts and use cases.
Capture baselines and track adoption, cycle time, quality, and business outcomes.
Contribute requirements and context to the AI Development Factory in a standard format AI can act on.
Collaborate with AI Champions, the AI Council, and IT to share best practices and provide feedback on improving the AI program.