Make consequential AI decisions authorized, attributable and provable.
TracePoint is built on a simple conviction: AI agents should not receive broad institutional authority merely because they can access a tool. Consequential decisions require explicit authority, enforceable policy, accountable review and connected evidence.
Make consequential AI decisions authorized, attributable and provable.
Autonomous systems operating within explicit, verifiable institutional authority.
Become the system of record and enforcement for delegated machine authority.
Access enables action. Authority determines whether the decision should proceed.
Identity, access, agent, cloud, and policy platforms already provide important controls. TracePoint’s focus is narrower: cross-stack authorization of semantically meaningful business decisions, with action-bound enforcement and a connected decision-to-outcome record.
TracePoint Authorize is the product, the AI Decision Control Plane is the category, and Operational Change Authorization is the first working Control Pack.
One mission, built with product truth.
TracePoint is founder-led and focused on making one real decision boundary enforceable before expanding the product story. Additional leadership or advisory appointments are published only after formal verification.
Rahil Goda
Sets TracePoint’s direction around a defining conviction: consequential AI actions require explicit authority, enforceable controls, accountable ownership and connected evidence.
Raja Goapl Naik
Leads financial discipline, planning, and operating accountability.
Ren Takahasi
Leads the technical architecture behind the AI Decision Control Plane.
Walter Broad
Leads TracePoint's market narrative, category, and enterprise communications.
Hina Tanaka
Shapes product clarity around consequential decision authorization.
Anna Miller
Builds the systems that connect policy, enforcement, and evidence.
Mia Wanger
Guides enterprise perspective, governance, and strategic relationships.
The discipline required for a consequential category.
Evidence over assertion
Trust is assembled from records that can be examined, not promises that cannot.
Authority before autonomy
An agent should act only inside an explicit, machine-readable authority envelope.
Product truth
Current capability, planned product, and long-term architecture must always be communicated precisely.
Control with proportion
Govern decisions that carry consequence without slowing every harmless event.