Governance as production enablement
The goal is not to block agent projects. The goal is to make them understandable enough to run, review, and improve.See the work boundary
Define what an agent can receive, what it can return, which tools it can use, and which outputs require project-specific review.
Review provider choices
Understand which model providers the system can use, which policy inputs affect routing, and what data movement follows from that selection.
Define review paths
Define when the system must stop or retry, use a safer route, or send a result to project controls before the workflow expands beyond a pilot.
Where Duale AI runs and what stays customer-owned
Choose the managed service or an eligible customer-hosted deployment. Customers choose and contract with their model providers in both cases.For the managed service, Hetzner hosts application data in Germany and Duale AI operates the platform. For an eligible customer-hosted deployment, the customer operates its infrastructure, network, storage, and infrastructure access; Duale AI supplies the supported platform release, deployment specification, upgrade guidance, and product support. The deployment agreement defines the exact responsibility boundary. Write to contact+security@mail.duale.ai to review eligibility.
Shared operating signals for all teams
Engineering, security, audit, and business teams use one account of the same agent task.Available task context
Use task submissions, retries, failures, terminal results, and review handoff context where captured by the integration.
Policy decisions
Review the policy inputs that shaped routing, provider selection, review paths, and operating context.
Incident readiness
Give the teams responsible for risk and reliability enough context to understand degraded providers, failed executions, and recovery paths.
Review regulated work
Use current product, security, privacy, and operating evidence in each deployment review.European Union AI Act readiness
Use available review inputs to discuss risk management, logging, transparency, and human oversight expectations where those rules apply.
Data protection review
Use documented processors, hosting, retention, and deletion paths as the starting point for privacy and data-processing reviews.
Operational resilience
Make dependency, provider, recovery, and exit questions visible before a critical workflow becomes hard to replace.
A better relationship with delivery teams
Security and audit teams are rarely the primary buyer. They become more effective when the product already exposes the answers they need.For platform teams
Build once with the review inputs, routing, and governance context that reviewers will ask for later.
For security teams
Review the product boundary early, then monitor the available runtime signals engineering uses in production.