SBIR/STTR Research Award
Generative AI Use in Organizational Change Management for Technical Transformation - Ayuka LLC
Award amount
$148,580Program and phase
SBIR · Phase IAward year
2025Award details
- Awarding agency
- Department of Defense
- Branch
- Office of the Secretary of Defense
- Recipient company
- Ayuka, LLC
- Proposal award date
- 2025-08-18
- Contract end date
- 2026-02-17
- UEI
- P86ATGN984C9
- Solicitation number
- 25.4
- Topic code
- OSD254-P001
Research abstract
Proposal for AI-Enhanced Change Management in Technical Implementation and AdoptionIntroductionáChange management failures are among the top reasons technical transformations fall short in both corporate and government sectors. Studies show that up to 70% of corporate transformations fail, with many due to weak change management, lack of alignment, organizational buy-in, and ineffective communication. Such issues prevent smooth adoption, leaving teams resistant to change or unaware of its goals?.This proposal introduces a robust AI-powered tool for government agencies and industry, leveraging predictive analytics and sentiment analysis to offer a structured, data-driven approach to support change management.áPurpose and ObjectivesThe primary objective is to empower government leaders and change managers to assess and respond to organizational needs with precision. By providing predictive insights, real-time sentiment tracking, and communication guidance, the tool allows leaders to anticipate resistance, gauge readiness, and align change initiatives with organizational priorities. These capabilities ensure strategic and responsive change execution.Technical Approach and MethodologyThis solution harnesses AI in these core areas: predictive analytics, sentiment analysis, and targeted communication guidance.Predictive Analysis for Readiness Assessment: By analyzing historical data and feedback, the tool generates readiness scores and identifies patterns of resistance or readiness in departments. It produces predictive models that guide interventions, helping leaders allocate resources to increase preparedness.Sentiment Analysis for Real-Time Employee Feedback: Natural language processing (NLP) algorithms evaluate real-time feedback from emails, surveys, and internal channels, detecting early signs of disengagement or enthusiasm. These insights empower leaders to tailor communication strategies, addressing concerns proactively.Communication Strategy Optimization: Effective communication is critical, particularly in technical environments. Using data from predictive and sentiment analysis, the tool suggests personalized messages and optimal timing for different employee segments. This approach clarifies objectives, conveys the benefits, and enhances understanding of expected outcomes.Dynamic KPI and Adoption Metrics Tracking: The tool provides continuous assessment of change adoption with customized metrics that track departmental progress, offering insights into which teams need additional support. Real-time progress updates enable leadership to act promptly, ensuring adoption remains on track.Customizable Dashboard and Reporting Suite: An interactive dashboard consolidates readiness scores, sentiment insights, and adoption metrics into an easy-to-navigate interface. Configurable reporting options allow leaders to create tailored summaries for different stakeholders, enhancing transparency and maintaining a clear, accessible record of change progress.
Technology keywords
Not reported
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