Localization is changing so fast that our old labels might not survive it. Stephanie sits down with Erik Vogt to unpack “solutions design,” the strategic discipline of turning a real business problem into a technology-supported solution that is both executable and commercially viable. If you have ever watched a team sprint to a proposal and then struggle to deliver, this conversation puts language around why that happens and what to do instead.

We walk through Erik’s three lenses for making sense of modern solutioning: time, space, and complexity. Time is the full arc from discovery through solution shaping, proposal, implementation, and the learning loop, with practical KPIs like time to implement and how well the rollout matches the original business need. Space is the reality that solutions live across stakeholders: legal, finance, HR, IT, InfoSec, partners, and the knowledge workers doing the work. Complexity spans everything from a simple translation request to huge multilingual programs with hybrid human and AI workflows and competing quality requirements.

Then we zoom into what AI is doing to the localization industry and language operations. Eric shares five strategic recommendations, including reframing localization as multilingual AI infrastructure, designing modular hybrid workflows with orchestration, moving to outcome-based partnerships, tightening governance around bias and data provenance, and building the skills and structural maturity to connect language quality to business outcomes. If you’re a solutions architect, localization leader, or operator trying to stay ahead, this is a practical roadmap. Subscribe, share with a colleague, and leave a review with the one change you think the industry needs next.