Proofs & Patterns is an independent data, AI, and evidence practice built around one standard: find the pattern, prove it holds, and turn what matters into clearer decisions.
Identify what the data is actually signaling.
Test the signal against evidence, context, and business reality.
Translate what holds into a decision, operating model, or strategy.
Grounded in years of work across healthcare, life sciences, data operations, governance, analytics, and transformation.
The standard is simple: does it hold. Twenty percent data-accuracy gains, two million dollars in measured transformation value — judged by what survived scrutiny, not what sounded good in the room.
Technical depth matters, but so does turning complexity into language leaders, teams, and audiences can use.
Patterns tell you where to look. Proof tells you what to trust. The work lives between data, AI, evidence, and the people who have to decide what happens next.
Proofs & Patterns can support organizations through focused advisory work, speaking and executive sessions, or applied analytics and evidence projects. The shape of the work can evolve with the question.
Focused advisory support for healthcare and life sciences organizations working through data, AI, governance, operating model, and transformation questions — grounded in a decade inside pharma commercial and health system operations.
Conference sessions, panels, leadership discussions, workshops, and internal conversations designed for the room, not just the slide.
Applied analytics, research, and evidence synthesis for questions that need more than an opinion before a decision is made.
Selected examples of how data, evidence, analytics, and strategy have been used to work through complex business and healthcare questions.
Analysis and perspective on data, healthcare, AI, workforce trends, governance, and the human side of transformation.
Read more insightsAn ongoing Proofs & Patterns series examining what workforce, market, and business data reveal about where change is happening.
A practical perspective on why AI amplifies the strengths and weaknesses already present in the systems, processes, and data beneath it.
Observations on leadership, adoption, resistance, and why successful transformation is as much about people as technology.
Conference sessions, panels, executive discussions, and internal talks on data strategy, AI, governance, healthcare, and transformation.
Proofs & Patterns is the independent home for Paula Reece's work in data, AI, evidence, speaking, and transformation. Her background spans enterprise data governance, master data, CRM and field enablement, analytics, AI strategy, and healthcare and life sciences operations.
Her career has moved from healthcare data foundations to pharmaceutical operations and enterprise transformation, combining hands on systems experience with executive level strategy and an MS in Data Science from Boston College.
The practice is built on a simple standard: find the pattern in the data, then prove it holds before anyone builds a strategy on top of it.
For speaking, advisory work, collaboration, or a focused working session, start with the question. The next step does not have to be a large engagement. Sometimes it is simply a useful conversation.