Simplifying AI for Business Leaders—Translating Technical Concepts into Clear, Actionable Strategy

Bridging the Gap Between AI & Business Strategy

📍 How I translated complex AI concepts into clear, strategic messaging to help leadership make informed decisions.

Key Impact:
✅ Developed an AI messaging framework used across marketing leadership teams
✅ Increased understanding and adoption of AI-driven initiatives
✅ Created content that simplified technical jargon into actionable insights

Due to the proprietary nature of this initiative, specific content and visuals cannot be shared publicly. However, I’ve outlined the challenge, strategy and measurable impact of this work to showcase my expertise in internal communications, employee engagement and strategic content development.

Project Overview

Company: State Farm

Industry: Insurance, Financial Services, AI & Technology Integration

Role: Marketing Communications Specialist

Timeframe: 6 months

State Farm was exploring the integration of AI-driven solutions into its earned media and marketing strategy, but a critical challenge emerged—non-technical leadership teams struggled to understand how AI applied to their work. Without clear, digestible messaging, leadership hesitated to adopt AI-driven initiatives, slowing decision-making and alignment across departments.

To address this, I developed a strategic AI messaging framework, ensuring that AI concepts were communicated in clear, actionable and jargon-free language tailored for business leaders.

From Problem to Impact

  • Technical Complexity & Jargon

    • AI concepts—like machine learning, predictive analytics and automation—were unfamiliar to many leadership teams.

    • Existing communications were too technical, making it difficult for decision-makers to engage with the material.

    Misalignment Across Departments

    • Different teams had varying levels of AI knowledge, leading to confusion and resistance to AI-driven projects.

    • Leaders needed simple, strategic content that clearly outlined AI’s business impact rather than just its technical mechanics.

    Risk: Without a clear understanding of AI’s value, leadership might delay adoption, misallocate resources or struggle to communicate AI’s impact to their teams.

  • Developed an AI Messaging Framework

    • Created plain-language explanations of key AI concepts tailored for leadership teams.

    • Designed a tiered messaging strategy, ensuring that content was adaptable for different audiences (executives, managers and frontline employees).

    Created Multi-Format Content for Accessibility

    • Developed an AI FAQ document addressing leadership’s most common concerns.

    • Wrote digestible one-pagers & executive briefs linking AI concepts to business outcomes.

    • Produced presentation decks and talking points to help leadership confidently discuss AI initiatives.

    Collaborated Cross-Functionally to Align Messaging

    • Worked closely with data scientists and product teams to ensure accuracy.

    • Partnered with other internal communications teams to distribute content effectively.

    • Consulted leadership to refine messaging and address hesitations in real time.

    1. Adoption of AI-driven initiatives increased, as leadership had clearer guidance on AI’s business impact.

    2. AI Messaging Framework became a go-to resource for executives discussing AI’s role in company strategy.

    3. Improved alignment between technical & non-technical teams, leading to more efficient decision-making.

    • Simplifying complex topics requires a structured, audience-first approach.

    • Multi-format content increases engagement—different leaders absorb information in different ways.

    • Cross-functional collaboration ensures technical accuracy without overwhelming the audience.