Back-office servicing costs were ballooning through compounding contract errors from acquisition through disposition — and no one had a shared map of where the loss was actually happening.
Marketing needed sharper signal on what was actually converting (and quietly losing) high-net-worth and ultra-high-net-worth prospects on the public brokerage website — and what kept existing clients from deepening the relationship.
An early-stage caregiving product was poised to ship an MVP shaped by stakeholder assumption rather than caregiver reality — risking adoption barriers among the very groups it claimed to serve.
A GenAI deployment risked repeating an earlier failure pattern — shipped on stakeholder assumption, then quietly rejected by the people it was meant to support.
An internal GenAI chatbot was being designed for account managers without a grounded view of where conversational AI would actually help versus add friction in a high-context B2B sales workflow.
Enterprise research engagements were bottlenecked at recruiting — niche B2B audiences, compliance-sensitive participant pools, and inconsistent intake from client teams stretched study timelines and put insight quality at risk.
Designers, researchers, and content strategists were rebuilding the same artifacts across product lines because brand assets, research evidence, and design system tokens lived in disconnected tools.
Running an inclusive accessibility study still means stitching together heuristics, assistive-tech walkthroughs, and a spreadsheet of evidence — none of which speak to each other or to accessibility conformance criteria in one place.
A growing community arts organization was running on volunteer goodwill and disconnected tools — making it hard to steward donors, communicate programming, or present a coherent identity to new partners.