Case Studies

A mid-market lender's off-the-shelf AI credit scoring tool was technically sound but underwriters couldn't explain its declines, leading staff to quietly build a shadow manual review process alongside it. A behavioral diagnostic found the real gap wasn't the model but the bank's missing discretion policy, explanation vocabulary, and appeal feedback loop—building all three internally cut shadow reviews to near zero and appeal reversals from 34% to 19%.

A Melbourne property management company struggled to reduce rising water consumption despite traditional conservation campaigns. A year-long randomized controlled field trial tested a behavioral science intervention that used anthropomorphism—a human-like “Mr. Water” character—to make conservation messages more personal and engaging. The intervention reduced household water use by strengthening residents’ sense of personal responsibility and control over environmental outcomes. The case demonstrates how behavioral science can drive sustainable behaviour change by shifting perceptions, not simply providing more information.

A mid-sized yoga studio in Australia struggled with high customer churn despite strong reviews and a loyal community. A behavioral science analysis of existing membership and attendance data revealed that members were not leaving because of dissatisfaction, but because of hidden behavioural barriers—including early-stage friction, choice overload, weak habit formation, and limited visibility of progress. By redesigning the member journey around these insights, the studio reduced churn from 38% to 22%, increased attendance consistency, and extended membership duration. The case demonstrates how behavioral science can uncover the psychological factors that drive customer loyalty and retention.

A mid-market insurance brokerage struggled to drive adoption of an AI underwriting assistant despite strong technical performance and seamless implementation. A behavioral audit revealed that low usage was driven by trust barriers, including unclear reasoning, social risk around overrides, and the outsized impact of early errors on perceptions of reliability. By redesigning explanations, normalizing human judgment, and rebuilding confidence through targeted interventions, the brokerage tripled senior broker adoption, reduced shadow workflows, and achieved a 22% improvement in case-handling time. The case demonstrates that successful AI adoption requires behavioral trust architecture—not just technical capability.

A major German financial-services provider struggled to drive adoption of an autonomous financial-planning tool despite strong initial engagement. A behavioral diagnostic revealed that users were not limited by comprehension or onboarding issues, but by trust barriers around control, explainability, and sensitivity to perceived errors. By redesigning the experience to strengthen user agency, improve explanations, and introduce gradual delegation, the provider increased delegation rates by 38%, reduced onboarding drop-off, and helped customers move from passive monitoring to active reliance on AI. The case demonstrates that autonomous AI adoption depends on building psychological trust, not just technical confidence.

A heritage retailer sought to understand why some customers showed unusually strong loyalty, lower price sensitivity, and deeper emotional attachment to the brand. A behavioral science analysis revealed that these relationships were shaped by psychological factors such as the desire for stability, familiarity, and continuity. By identifying the underlying needs driving brand attachment, the retailer refined its positioning around heritage, reliability, and craftsmanship, strengthening customer connections. The case demonstrates how behavioral science can uncover the psychological drivers behind loyalty and help brands build more meaningful relationships.

A major airline group struggled to increase participation in its carbon-offset program despite growing consumer interest in sustainable travel. A behavioral science analysis revealed that engagement depended not only on awareness, but on whether members perceived the loyalty program as fair, transparent, and attainable. By understanding how fairness and reciprocity influence prosocial behaviour, the airline identified ways to redesign the member experience and increase participation. The case demonstrates how behavioral science can help organizations strengthen loyalty by aligning customer motivation with broader brand goals.

A major consumer service provider struggled to drive adoption of a high-performing support chatbot despite strong technical capabilities. A behavioral audit revealed that customers were not avoiding the tool because of functionality, but because of trust barriers related to uncertainty, perceived competence, and fear of losing access to human support. By redesigning the experience around clarity, confidence, and user control, the provider increased chatbot engagement by 31% and reduced unnecessary escalations by 27%. The case demonstrates how behavioral science can help organizations build trust in technology and unlock its intended value.

A national consumer goods company faced a product-harm crisis that triggered social media backlash and declining customer trust, despite the issue affecting only a small portion of products. A behavioral audit using our STORM Framework revealed that customer reactions were shaped by psychological factors including perceived risk, uncertainty, and judgments of corporate responsibility. By redesigning crisis communications around clarity, accountability, and trust repair, the company reduced negative sentiment by 40% within two weeks and accelerated recovery. The case demonstrates how behavioral science helps organizations understand and manage the human factors that shape brand crises.

A national coffee chain with a large loyalty program had extensive customer data but struggled to translate behavioural patterns into meaningful action. A behavioral science analysis revealed that retention challenges were driven by psychological barriers such as reward friction, choice overload, timing issues, and habit patterns—not a lack of customer interest. By redesigning the loyalty experience around how customers actually make decisions, the organization increased retention from 41% to 56%, improved reward engagement, and increased customer lifetime value. The case demonstrates how behavioral science transforms customer data into actionable insights by understanding the people behind the numbers.

A mid-size regional health system deployed an AI-assisted clinical triage tool that showed strong pilot performance but struggled with real-world adoption, reaching only 43% usage six months after launch. A behavioral diagnostic using our proprietary AI Trust Axis revealed that the barrier was not training, but trust: clinicians lacked confidence in the tool’s recommendations because of concerns around accountability, explainability, and control. By redesigning the experience to reinforce clinician autonomy, improve transparency, and simplify overrides, adoption increased to 79% while confidence scores rose significantly. The case demonstrates that successful AI adoption depends not only on technical accuracy, but on understanding the human factors that shape trust and behaviour.