Who it is for

# Who Parmana is For Parmana is built for organizations deploying AI systems that can trigger real-world actions. These are systems where execution has consequences. --- ## Primary users ### 1. AI product teams Teams building AI agents that: - trigger workflows - take actions in production systems - interact with external APIs They need controlled execution boundaries. --- ### 2. Fintech and financial systems Organizations handling: - payments - transfers - approvals - risk decisions They require deterministic authorization before execution. --- ### 3. Enterprise infrastructure teams Teams managing: - cloud infrastructure - deployment pipelines - internal automation systems They need verifiable execution control. --- ### 4. Healthcare and regulated systems Systems where actions affect: - patient records - approvals - compliance workflows They require strict auditability and authorization enforcement. --- ### 5. AI platform companies Companies building: - agent frameworks - autonomous systems - AI orchestration layers They need a trust and authorization boundary between AI and execution. --- ## What all these users have in common They all deploy systems where: - AI generates actions - actions have real-world consequences - execution must be controlled - auditability is required - compliance matters --- ## The pain they share All these systems struggle with: - unclear execution authority - lack of deterministic enforcement - no cryptographic audit trail - fragmented approval logic --- ## Why they choose Parmana Parmana provides: - deterministic authorization before execution - cryptographic verification of decisions - strict separation of AI and execution - independent auditability --- ## Ideal system boundary Parmana becomes necessary when:

AI output is not just information — it becomes execution intent.

--- ## Summary Parmana is for systems where: - AI proposes actions - humans define authority - execution must be verifiable - mistakes are not acceptable