Technology & SaaS

Governance that keeps pace with engineering velocity.

Technology companies ship AI features fast and adopt agentic patterns early. Without automated governance, that velocity accumulates governance debt across models, agents, and the MCP servers they call.

Regulatory drivers

EU AI Act obligations for AI features shipped into regulated markets
Customer and enterprise procurement assurance (ISO/IEC 42001, NIST AI RMF)
GDPR and data-handling commitments to customers

The governance challenge

Engineering velocity outpaces manual governance, so new agents and MCP-server integrations reach production before anyone has registered or risk-assessed them — creating shadow AI inside the product itself.

Industry example

How it works in practice

A SaaS platform adds an agentic copilot that calls internal tools and third-party MCP servers. AIXYRA registers each agent and server, routes tag-based approvals to the owning squad, and propagates risk across the dependency chain — so the platform ships fast while every integration stays governed and owned.

Illustrative scenario. AIXYRA does not imply any specific customer engagement.

How AIXYRA helps

Outcomes for Technology & SaaS

Route approvals by tag and entity ownership so governance scales with teams

Surface risk across dependencies before integrations reach customers

Demonstrate assurance to enterprise buyers with on-demand evidence

Platform capabilities

The AIXYRA capabilities behind this solution

AI Agent Registry

Register, track, and govern AI agents throughout their lifecycle with structured approval workflows ensuring agents meet organizational policies before deployment.

MCP Server Registry

Govern Model Context Protocol servers with approval workflows purpose-built for the agentic AI era, ensuring MCP tools meet security and compliance standards.

Shadow AI Discovery

Continuously scan your AWS environment to surface AI models and services running outside governance, then bring them under management in one action — closing the gap between what exists and what's governed.

Tag-Based Governance & Entity Ownership

Flexible tag-based routing for governance approvals and clear entity ownership management, enabling decentralized governance at enterprise scale.

Risk Scoring with Dependency Propagation

Automated risk assessment that propagates scores through the 6-layer architecture dependency chain, revealing how risks cascade across interconnected AI systems.

Governance Workflows

Two-phase approval process (Fit for Purpose, Fit for Use) with configurable checkgates, role-based reviewers, and tag-based approval routing.

Deployment fit

Cloud-hosted for speed, with hybrid options when customers need data to stay within their own boundaries.