Traditional AI initiatives often center on "Cold ROI", cost reductions, automation, and productivity gains. However, this narrow view overlooks the transformational impact AI can have on people, culture, and sustainable business growth.
Photon’s Business & Human Value (BHV) Framework offers a new blueprint for measuring ROI. It integrates business performance metrics with human-centered outcomes—such as creativity, engagement, and well-being, ensuring that AI adoption not only scales but compounds value across the enterprise.
This whitepaper provides a comprehensive playbook for business and technology leaders to deploy AI initiatives that deliver measurable results, powered by Photon’s CAVU scorecard and Enable → Engage → Elevate → Empower adoption loops.
What You’ll Gain from This Whitepaper
- BHV Model & Framework: A structured way to move beyond cost savings, showing how to design AI systems that improve efficiency and elevate human outcomes such as creativity, trust, and well-being.
- CAVU Scorecard: A practical measurement system that captures Capability (accuracy, automation lift), Adoption (who’s actually using it), and Value Unlock (business + human impact) with clear, visual metrics.
- Adoption Loops: Guidance on using Photon’s Enable → Engage → Elevate → Empower model to scale adoption, avoid shadow AI, and keep teams invested in the tools they use daily.
- Proven Benchmarks: Real-world examples from recruiting, healthcare, customer service, and software—like profile creation reduced from 60 minutes to under 5, or documentation time cut by 70%—showing how BHV drives measurable outcomes.
- Deployment Roadmap: A stepwise plan to assess readiness, configure governance, and implement AI programs that are sustainable, measurable, and enterprise-grade.
Build AI That Elevates People and Performance
Whether you’re rolling out copilots, reducing burnout, or optimizing enterprise workflows, this whitepaper equips you with Photon’s BHV playbook, CAVU scorecards, and adoption frameworks to maximize ROI where it matters most.
