Founder and CEO, Saphenia
Charlotte founded Saphenia after running the data organization at H&M as Chief Data & AI Officer, where she watched capable agents fail the same way every time. She holds a PhD in economics from the European University Institute, with earlier data and AI leadership roles at Richemont and Nike and quantitative work at BlackRock.
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Saphenia builds decision logic for enterprise agents, capturing a company's rules for one recurring decision and checking every agent's answer against them.
Charlotte WergerRead articleCompare 11 portfolio monitoring and AI review tools for private equity, from platforms that store portfolio data to tools that work on the quarterly review.
Charlotte WergerRead articleA step-by-step method for private equity firms to build a recurring portfolio performance review from scattered company reports and spreadsheets.
Charlotte WergerRead articleWho should approve a corrected portfolio-company KPI, what the correction record holds, and how the correction carries into the firm's next review.
Charlotte WergerRead articlePrivate equity firms should set pass criteria first, test an AI portfolio review pilot on their own hardest files, trace every figure, and time the review.
Charlotte WergerRead articleA COO's guide to build or buy for AI agents: when RAG is enough, the full cost of building, and how to compare outputs on your own documents.
Charlotte WergerRead articleHow heads of lending keep loan product matching current: version lender criteria by effective date, tie each match to its source, and name every refusal.
Charlotte WergerRead articleSaphenia prices a deployment on three levers: the size and complexity of your data, the number of decisions, and bespoke agent or integration work.
Charlotte WergerRead articleGet started
Saphenia teaches agents how your organization decides. See it run on a decision your team already makes.
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