Permission-scoped access
The agent can only operate through the project and command surface granted to it.
Agentic translation operations
Let AI manage the work. Keep authority.
How can I get AI to manage all of my translation work while allowing me to stay in control?
The direct answer
Give the work to an agent—but keep consequential decisions with your experts and project owner. Aquilla gives external agents permissioned translation infrastructure, and gives people the staged changes, approval boundaries, history, and provenance they need to authorize the result.
A category, plainly defined
What “agentic” means here.
Agentic translation operations means agents perform and coordinate routine translation work, while qualified humans retain authority over meaning, policy, risk, validation, and release.
The dividing line is not whether a product contains an AI feature. It is whether an agent can understand the work, use the translation system directly, propose coherent action, and carry approved decisions forward without turning a person into the integration layer.
AI-enabled tool
You operate the software
People find, copy, configure, chase, inspect, and reconcile. AI assists inside selected steps.
Agent infrastructure
The agent operates the system
People set direction and supply expertise. The agent handles permitted operational work through Aquilla.
Continuous, not one big batch
A translation operating loop.
The agent keeps routine work moving. Human expertise enters where it has leverage, and authority never disappears into the automation.
Set authority
The project owner defines the audience, scope, constraints, permissions, and level of human validation required.
Let the agent operate
An external agent can inspect the project, find relevant content and history, and stage a coherent set of translation changes.
Inject expertise
Linguists and subject-matter experts resolve the decisions where their judgment changes the outcome.
Inspect and approve
Aquilla presents the proposed effects for review. Approval applies to that specific staged changeset—not a blank cheque.
Keep the evidence
Committed work carries history and provenance, giving the project owner a traceable basis for the next decision.
Control is a system property
From delegated work to justified confidence.
Fluent output is not the same thing as an authorized translation. Aquilla is designed to preserve the chain between expertise, action, evidence, and release.
Ask and act modes
Choose whether work must stop for human approval or may proceed within a defined authority boundary.
Specific approval
In ask mode, approval is tied to the digest of the immutable staged changeset a person inspected.
Traceable execution
Effect summaries, execution receipts, and server-stamped provenance preserve what happened and under whose authority.
Aquilla supplies inspectable evidence and a traceable basis for confidence. It does not prove that a translation is correct or manufacture the authority of your experts or organization.
Delegate the operational verbs
Work an agent can handle with Aquilla.
Start with the repetitive work around translation—the work that drains expert attention without requiring expert authority at every step.
Resolve the right content
Search projects and content, read the surrounding material, and inspect history before proposing a change.
Bring context together
Use project guidance, neighboring content, prior decisions, and available media instead of treating every string in isolation.
Stage translation work
Prepare a batch of related translation changes through the same permissioned changeset pipeline your team can inspect.
Apply current expertise
Use approved project guidance and translation history to make later work more consistent and to propose surgical updates.
Show proposed effects
Present what will change and retain the resulting receipt and server-stamped provenance when approved work is committed.
Leave judgment to people
Stop at the approval boundary so experts and owners can decide meaning, policy, risk, and release.
The honest boundary
Agentic does not mean unaccountable autonomy.
Aquilla does not claim fully autonomous intake-to-publication today. Public agent-run QA, agent-run export and delivery, autonomous MCP artifact import, one-click OAuth installation, and unattended long-running jobs are not complete public capabilities.
AI suggestions can be wrong. Qualified people remain responsible for linguistic, theological, professional, legal, factual, and release decisions. Aquilla is building the infrastructure to make that responsibility easier to exercise—not to erase it.
Questions people actually ask
Agentic translation operations FAQ.
How can I get AI to manage my translation workflow while I stay in control?
Give an external agent permission-scoped access to Aquilla. The agent can inspect the workspace, search and read content and history, and stage translation changes. You choose ask or act mode, review proposed effects where approval is required, and keep authority over consequential decisions and release.
What is agentic translation operations?
It is an operating model in which agents perform and coordinate routine translation work continuously, while qualified humans retain authority over meaning, policy, risk, validation, and publication. The point is not AI text generation alone; it is delegating the operational verbs around translation.
Is this just machine translation with human approval?
No. Final approval matters, but experts should shape the work before the end. They set constraints, resolve high-leverage questions, and add guidance that can inform later work. That is different from asking a linguist to clean up one large, undifferentiated batch.
Can I use Claude, Codex, Hermes, or another agent with Aquilla?
Aquilla is designed as infrastructure for external agents, rather than requiring every interaction to happen in a proprietary chat box. A compatible agent can discover the available API surface and operate within the access and autonomy granted to it.
Can an AI agent publish an entire translation without a person?
Aquilla does not claim fully autonomous intake-to-publication today, and AI output should not be treated as authoritative by itself. Public agent-run QA, export and delivery, autonomous MCP import, OAuth installation, and unattended long-running jobs are not complete public capabilities.
What proof do I get after an agent changes something?
Aquilla's changeset pipeline can provide server-computed effect summaries, execution receipts, and server-stamped provenance for the agent, channel, autonomy level, and human authority involved. This is evidence you can inspect—not a guarantee that a translation is correct.
Put an agent to work
Your experts supply the authority. Aquilla carries the work.
Start in the workspace, or learn more about the translation environment agents can operate.
Read the deeper model: translation authority infrastructure · expert-in-the-loop AI translation