SIGFOC™ helps organizations move beyond raw data by capturing the full lifecycle: from recognizing the right signals, to extracting insights, embedding governance, anticipating through foresight, ensuring effective orchestration, and maintaining context across all decisions.
Use: Enterprise AI adoption, digital health strategy, data-driven transformation.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
PTRS™ measures how prepared a clinical program is for execution — not only scientifically and operationally, but also in terms of diversity, ethics, and trust. It ensures clinical trials are representative, credible, and strategically aligned with regulatory expectations.
Use: Clinical trial design, regulatory alignment, patient diversity initiatives.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
FRF-X™ identifies where strategic fractures may occur in programs, organizations, or partnerships. By mapping pressure points across governance, compliance, finance, and operations, it equips leaders to prevent breakdowns before they occur.
Use: Risk management, board oversight, M&A due diligence.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
GRC-AIM™ aligns governance, risk, and compliance structures with the realities of AI deployment. It provides leaders with a roadmap to ensure responsible, ethical, and compliant use of AI across regulated industries.
Use: Digital health, AI in finance, enterprise compliance.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
AIBC™ provides a structured way to plan and evaluate AI investments in biotech and diagnostics. It connects technical needs, regulatory requirements, and business strategy into a clear budgeting process that avoids waste and maximizes return.
Use: R&D portfolio planning, investment cases, financial strategy.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
VAFA™ helps investors and acquirers assess the true value of AI-driven assets. It moves beyond conventional multiples, factoring in regulatory pathways, adoption curves, and competitive dynamics.
Use: Private equity, venture capital, M&A due diligence.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
RPM-V™ ensures that AI and digital health initiatives deliver outcomes that are responsible, profitable, and measurable. It acts as a checkpoint for executives before scaling innovation across the enterprise.
Use: Scaling AI programs, portfolio governance, executive decision-making.
Framework Copyright © 2025 Ashish Yadav. All rights reserved.
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