The reasoning layer for decisions that cannot afford to be wrong
Institutional AI needs more than model access. It needs context, constraints, and a defensible decision record.
Growth Protocol founder Miro Dimitrov presented at the LarrainVial Alternatives Summit in Mexico City, an event convened by LarrainVial and CIO Invest for institutional investors, fund managers, and leaders across private markets.
The three-day summit brought together more than 300 industry professionals and over 35 investment managers and strategic partners spanning private equity, private credit, infrastructure, real estate, and secondaries.
From capable models to defensible decisions
Growth Protocol's message was direct: access to increasingly capable AI models is no longer the central constraint. The more important question is whether those systems can operate within institutional context, apply explicit rules and constraints, explain their recommendations, and preserve a defensible decision record.
Hybrid reasoning brings together the pattern-recognition capabilities of neural models with structured business logic, policies, and domain knowledge. For decisions carrying financial, regulatory, or fiduciary consequences, that combination is what makes AI usable beyond experimentation.
The frontier is moving quickly. Enterprise value depends on making its output trustworthy enough to act on.