WellVal Ai
Year:
2022
Service:
AI development, Strategy
Industry:
Real Estate
Size:
10 Employees
Client Website:
“Simon helped us get our project off the ground from idea stage through to a working technology product. He brought both business and technical knowledge that helped us secure a $25,000 investment grant and get the right infrastructure in place. Industry feedback on his work was very strong.”
Andrew Hoyne - Managing Partner Hoyne
How We Turned a Workplace Wellness Vision into a Proprietary AI Platform in 8 Weeks
Introduction
Andy Hoyne, a visionary property placemaking expert in Australia, saw an opportunity that others had missed: workplace wellness wasn't just about employee satisfaction—it was a quantifiable driver of organizational performance and profitability that could be predicted and optimized.
The concept was compelling: create a data-driven framework that could analyze building environments, combine that with tenant HR data, and predict the dollar value of workplace wellness initiatives. Companies could finally see the ROI of wellness investments before making them, and property owners could differentiate their buildings based on measurable wellness impact.
But Andy faced a critical challenge: he needed to move from vision to working platform quickly, and the technical complexity required building a proprietary AI model that didn't exist anywhere in the market.
The Challenge
Andy had identified a genuine market gap. Over 60% of Australians work in offices, collectively spending 15 million hours in workplaces every month. Yet workplace wellness remained largely a "nice-to-have" feature rather than a fundamental business consideration—primarily because its impact couldn't be reliably predicted or quantified.
The technical complexity was significant. Creating WellVal® wasn't about building a simple assessment tool or benchmarking system. It required developing a sophisticated AI platform that could:
Analyze building environments across specific wellness criteria with scientific rigor
Integrate and process bespoke HR information from diverse organizational structures
Predict improvements in both wellness outcomes and human-centered performance metrics
Translate those predictions into tangible financial impact on profitability
Enable third-party consultants to perform assessments without requiring deep technical expertise
Support ongoing machine learning improvements as more data became available
Speed to market was critical. The workplace wellness market was evolving rapidly. Emerging regulations, increased focus on employee wellbeing post-pandemic, and growing ESG requirements were creating urgency. A slow, traditional software development approach would mean missing the market window when interest was at its peak.
Finding the right technical partner was proving difficult. Most development firms either didn't understand the sophisticated AI modeling required, or quoted timelines of six months to a year for development. Andy needed a partner who could grasp his vision, architect a complex AI system, and execute rapidly without sacrificing quality or capability.
The platform needed to be distinctive, not derivative. Unlike existing benchmarking tools that simply award certifications for meeting criteria, WellVal® needed to be predictive and evolving—using machine learning to continuously improve its ability to forecast wellness impact on organizational outcomes. This wasn't about adapting existing tools; it required building something fundamentally new.
Andy had the vision and the domain expertise. What he needed was a technical partner who could translate that vision into a working AI platform that property consultants could use and companies would trust—and he needed it fast.
We partnered with Andy when WellVal® was simply an idea and committed to turning it into a full AI platform within an aggressive 8-week timeline.
Rapid discovery and architecture. We started by deeply understanding Andy's wellness framework, the data inputs required, the predictions the platform needed to generate, and how consultants would use the system in practice. Rather than spending months on requirements documentation, we worked collaboratively to define the core functionality and designed an architecture that could deliver it.
Proprietary AI model development. We built a custom machine learning model specifically designed to predict workplace wellness outcomes and financial impact. The model needed to process building environment data across multiple criteria, integrate company-specific HR information, and generate reliable predictions about wellness improvements and their effect on performance and profitability. This wasn't about using off-the-shelf AI tools—it required developing algorithms tailored to the unique relationships between building characteristics, organizational factors, and wellness outcomes.
Integrated data processing pipeline. We created systems to ingest and process diverse data sources: building environment assessments, tenant HR information, industry benchmarks, and wellness research. The platform needed to handle varied data formats and quality levels while maintaining the integrity of its predictions.
User-friendly assessment interface. Despite the technical complexity under the hood, we designed an interface that third-party consultants could use to perform assessments without needing data science expertise. The platform guides users through the assessment process and automatically generates predictions and reports.
Built for evolution. We architected the platform to support continuous improvement through machine learning. As more assessments are performed and more data is collected, the AI model can refine its predictions and become more accurate over time—creating a system that gets smarter with use.
Delivered in 8 weeks. From initial concept to working platform, we completed development in just two months. Andy went from having a vision on paper to demonstrating a functional AI platform that could perform real assessments and generate predictions.
The Results
In 8 weeks, we transformed WellVal® from an idea into a market-ready AI platform that brings scientific rigor and predictive capability to workplace wellness assessment.
From vision to working platform in record time. What typically takes six months to a year of development was delivered in 8 weeks. Andy could begin demonstrating WellVal® to property owners, consultants, and potential customers while competitors were still planning their offerings.
Proprietary AI technology as a competitive moat. WellVal® isn't built on generic tools or frameworks—it uses a custom AI model developed specifically for predicting workplace wellness impact. This proprietary technology creates a defensible competitive position that can't be easily replicated.
Prediction, not just benchmarking. Unlike certification programs that assess current state, WellVal® predicts future impact. Companies can see the expected ROI of wellness initiatives before making investments, and property owners can quantify the value of their building's wellness features in dollar terms.
Scalable assessment process. The platform enables third-party consultants who already perform commercial property assessments to add WellVal® evaluations to their services. This leverages existing distribution channels and expertise rather than requiring Andy to build a consulting practice from scratch.
Platform that evolves with data. The machine learning architecture means WellVal® becomes more accurate and valuable as it's used. Each assessment contributes to the model's training, creating a flywheel effect where early adoption drives platform improvement.
Market positioning achieved. Andy established WellVal® as a sophisticated, data-driven solution at precisely the moment when workplace wellness moved from nice-to-have to business imperative. The speed of execution meant being first to market with predictive wellness analytics.
Foundation for ongoing innovation. The platform we built isn't static—it's an evolving system that can incorporate new wellness research, additional data sources, and refined prediction models as the field develops.
WellVal® demonstrates that with the right technical partnership, visionary ideas don't need to spend years in development. Speed and sophistication aren't mutually exclusive—they're both possible when you have partners who understand how to architect complex AI systems and execute rapidly.
