Governance is the product.
Most AI development tools treat governance as something you add after the fact, a permission system, a log file, a policy doc. expandev was built the other way around. Governance is the spine. Code generation is the consequence.
Governance isn't optional anymore. It's regulated.
Governing how AI builds software is no longer a best practice, it is becoming a regulatory requirement. Three frameworks now define what responsible AI looks like, and a fourth discipline ties them to the way software is actually built. expandev operationalizes all of them at the point where AI writes code.
ISO/IEC 42001
ISO/IEC 42001 is the first international standard for AI management systems (AIMS). It defines how an organization establishes, implements, maintains, and continually improves the governance of AI across its lifecycle, the AI counterpart to ISO 27001 for information security, and a standard organizations can be certified against.
The standard asks for documented policies, assigned roles, risk controls, and evidence of continual improvement. expandev makes those requirements operational at the development layer: every AI-assisted decision is logged, owned by a named person, and reviewable. Instead of AI governance living in a binder, an AIMS gets concrete control points and audit evidence generated as a byproduct of how teams already work.
iso.org/standard/81230NIST AI Risk Management Framework
The NIST AI Risk Management Framework (AI RMF 1.0) is the United States' reference framework for identifying, measuring, and managing the risks of AI systems. It is organized around four functions, Govern, Map, Measure, and Manage, that together raise the trustworthiness of AI across its lifecycle.
Those four functions need somewhere to actually happen. expandev gives them a workflow: requirements and architectural decisions are mapped as structured artifacts (Map), risk and best-practice findings surface on every artifact (Measure), each finding is routed through review and approval (Manage), and the whole process runs inside an explicit ownership model (Govern). The framework stops being a checklist and becomes the way the work moves.
nist.gov/itl/ai-risk-management-frameworkEU AI Act
The EU AI Act is the European Union's comprehensive regulation of artificial intelligence, the first of its kind. It classifies AI systems by risk tier and imposes obligations accordingly. For higher-risk systems, those obligations include risk management, data governance, technical documentation, record-keeping, transparency, and meaningful human oversight.
For any team building or procuring software with AI in the loop, the Act's hardest requirements, traceability, human oversight, technical documentation, and record-keeping, are precisely what expandev produces by default. Every decision is versioned and attributed to a person; every AI action runs within declared human oversight; the audit trail is the technical documentation, not a separate effort assembled after the fact.
digital-strategy.ec.europa.euGAISD: Governed AI Software Development
Governed AI Software Development (GAISD) is the emerging discipline that addresses what ISO/IEC 42001, the NIST AI RMF, and the EU AI Act leave open: how software should be built when AI is an active participant in the development lifecycle. The three frameworks govern AI in general; GAISD focuses on the specific moment AI participates in writing software, articulating the principles that keep human intent, business-rule ownership, architectural boundaries, traceability, and human accountability intact while AI handles execution.
Those principles need a place to actually live. expandev operationalizes GAISD at the development layer: intent is declared by humans, business rules are authored never inferred, architecture is a contract the platform enforces, every artifact carries a lineage, and accountability has a name. Where the three frameworks say "govern your AI," GAISD names what good looks like when AI writes the code — and expandev is the platform that puts it into practice.
gaisd.dev
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