Empromptu Introduces AI Policies to Bring Compliance-Ready Control to Enterprise AI Applications

Today we're so excited to announce AI Policies, a new platform capability that gives enterprises a centralized, compliance-ready way to govern how AI applications are built across their organization.

As AI adoption accelerates, enterprises face a growing challenge: AI systems are increasingly created by different teams, with different prompts, assumptions, and standards, making it difficult to ensure consistency, auditability, and regulatory alignment. AI Policies are designed to address this problem by moving governance upstream, before AI applications ever reach production.

From Prompt-Level Rules to Compliance-Ready Governance

Traditional AI governance approaches rely heavily on manual prompt reviews or ad hoc guidelines that are difficult to enforce consistently. AI Policies replace this with account-level rules that apply automatically whenever new AI applications are created on Empromptu.

Policies are enforced during the build process, ensuring applications are generated in alignment with organizational standards before they are deployed. This approach creates a clear, inspectable record of intent, which is critical for audits, internal reviews, and regulatory scrutiny.

What AI Policies Control in the MVP

AI Policies supports several categories of enterprise-relevant controls, including but not limited to:

• •Style and tone policies, such as professional language requirements, accessibility standards, or audience restrictions
• •Brand and presentation guidelines, including approved color palettes, typography, and logo usage
• •Functional and structural rules, such as required authentication flows, consistent output formats, or prohibited content patterns

Code Patterns, such as engineering team code styles and preferences

Policies are defined once at the organization level and automatically applied across all newly generated AI applications, reducing configuration drift and human error.

Built for Compliance and Auditability

AI Policies are designed with enterprise compliance realities in mind. Every policy is explicit, centrally managed, and applied deterministically, making it easier for organizations to demonstrate how AI systems were designed to behave at a given point in time.

This enables:

• •clearer audit trails for internal and external reviews
• •stronger alignment with frameworks such as SOC 2 and emerging AI governance standards
• •reduced risk of unapproved or non-compliant AI behavior entering production

Rather than attempting to encode complex regulations directly into prompts, Empromptu positions AI Policies as a foundational governance layer that supports compliance without sacrificing developer velocity.

“Compliance doesn’t start with enforcement. It starts with intent,” Leven added. “AI Policies make that intent visible, consistent, and repeatable across every AI application you build.”

A Foundation for Responsible AI at Scale

AI Policies establish the groundwork for more advanced governance capabilities over time, including deeper data handling controls, runtime behavior constraints, and automated policy-driven redeployment. Combined with Empromptu’s broader platform, they help organizations transition from experimental AI usage to production-grade systems that can be trusted by regulators, customers, and internal stakeholders alike.

AI Policies are available today as part of the Empromptu platform.