AI-driven engineering with governance built in.
Not bolted on.
AI execution without governance is uncontrolled change management at software speed. LoomStack provides approval chains, audit trails, risk controls, and policy enforcement that enterprise engineering organizations require.
Cannot trace an AI-generated change back to who authorized it (DORA 2025)
AI changes arrive vs. governance processes can absorb (Gartner)
Say AI coding tools create ungoverned change pathways (2026 survey)
Most audit trails have for AI agent actions today
The governance gap
Three principles that make governance actually work.
Most governance is either too heavy (blocks everything) or too light (monitors nothing). LoomStack's model is designed around engineering reality, not compliance theater.
Technical enforcement, not process suggestion
Policies aren't guidelines pinned in a wiki. They're runtime constraints evaluated on every workflow transition. An engineer can't accidentally bypass an approval chain because the system won't proceed without it.
Continuous, not periodic
Governance isn't a quarterly audit. Every AI action is evaluated against your policy set in real time. Drift detection is instant. Compliance posture is always current, not reconstructed after the fact.
Risk-proportionate, not one-size-fits-all
A documentation fix and a payments service change don't need the same approval chain. LoomStack classifies risk dynamically and applies governance controls proportionate to actual impact.
Core capabilities
The governance infrastructure your AI workflows run on.
Immutable Audit Trail
Every AI decision, human override, policy evaluation, and workflow transition is logged with full attribution. Tamper-evident, queryable, and retention-configurable per your compliance requirements.
Configurable Approval Chains
Define multi-level approval workflows per service, team, or change type. Sequential or parallel reviewers, escalation timeouts, and delegation rules — all declarative in your org config.
Role-Based Access Control
Granular permissions across the AI execution surface. Control who can override policies, which teams can deploy autonomously, and what agents are permitted to modify in production-critical services.
Policy Version Control
Governance rules are code — versioned, diffable, and reviewable. Roll back policy changes, audit who modified what, and maintain a complete history of your governance posture over time.
Compliance
Framework requirements mapped to platform capabilities.
LoomStack doesn't bolt compliance onto AI workflows after the fact. Governance controls are structural — they satisfy framework requirements by design, not by manual evidence collection.
Change management controls and audit trails
Immutable event log with full attribution, configurable retention, and exportable reports for auditors.
Access controls and audit logging for PHI systems
RBAC enforcement on AI agent access scope. All PHI-adjacent changes require multi-stakeholder approval.
Data processing accountability and traceability
Complete provenance chain for any AI-generated change touching personal data. Override logging with reason attribution.
Information security management controls
Policy version control, separation of duties enforcement, and continuous compliance monitoring across AI workflows.
Continuous monitoring and incident response
Real-time policy evaluation, automated anomaly detection on AI behavior, and configurable alerting thresholds.
Governance that keeps pace with AI execution.
Our Co-Build embeds the LoomStack team with your organization for 12–16 weeks to design and deploy governance infrastructure matched to your compliance requirements.