Smartcat supports human-in-the-loop (HITL) localization where AI accelerates throughput and humans control quality, risk, and final release. Workflows are configurable: you can add, remove, or reorder steps based on content type and risk. There are no mandatory default steps—enterprise teams typically standardize a few templates and adapt them per program.

Related platform and governance context:

What “human-in-the-loop” means in practice

A typical enterprise workflow separates production (getting a usable draft fast) from control points (review/approval gates that determine what can be exported, published, or billed).

Common configurable stages (you may use all or only some):

Intake & scoping (project creation, languages, due dates, reference files)
Pre-translation preparation (TM/term application, content filtering, segmentation checks)
AI translation (draft translation generation)
Human editing (post-editing to meet style/terminology and fix meaning issues)
Human review (domain or in-country review)
Quality checks (formatting, consistency checks, terminology checks; can be automated + manual)
Approval / sign-off (explicit release authorization)
Export / delivery (file export, connector push, or download)

Roles, permissions, and assignments

Enterprise HITL is mostly about who can do what, on which content, and under what constraints.

Typical roles (examples)

Organization admin: configures workspace settings, identity, and enterprise policies.
Project owner / PM: creates projects, sets workflow templates, assigns work, and monitors progress.
Translator / editor: produces or edits target-language text.
Reviewer: checks meaning, terminology, and audience fit; may have authority to request changes.
Approver: provides final sign-off to allow export/publishing.
Requester / stakeholder: submits content and reviews status; often view-only.
Finance/billing role (if enabled by your org): reviews invoices, payment-related actions, or spend reporting.

Permission patterns

Configure permissions to match your control model:

Least-privilege access: users only see projects/languages they’re assigned.
Role-based editing controls: e.g., translators can edit segments; reviewers can comment/approve but not change locked content (or vice versa—your choice).
Export restrictions: prevent download/export until a required approval is recorded.
Separation of duties: prevent the same user from both producing and approving for higher-risk content.

Reviewer assignment options

How review work is allocated is configurable. Common approaches include:

Per-language reviewers (one reviewer per locale)
Per-domain reviewers (e.g., legal reviewer for regulated strings)
Round-robin or pool assignment (for throughput)
Named approver groups (approval must come from an authorized group)

Approval mechanisms (what gets “gated”)

Approval is most useful when it is tied to a concrete release action. Examples:

Segment/asset-level approvals: content cannot be marked “done” until a reviewer approves.
Milestone/project approvals: export/delivery is blocked until an approver signs off.
Change-after-approval handling: if a translated segment changes after approval, you can require re-review/re-approval (recommended for higher-risk content).

What AI does vs. what humans do (by stage)

Stage	What AI typically does	What humans typically do
Intake & scoping	Suggests language coverage based on history (if configured); helps summarize instructions	Define audience, locale list, due dates, and acceptance criteria; attach references
Pre-translation preparation	Applies translation memory/terminology suggestions; flags inconsistencies	Decide which references are authoritative; resolve ambiguous source; curate termbase
Draft translation	Generates first-pass translations quickly	Provide domain context; confirm intended meaning; decide when AI is allowed/appropriate
Post-editing	Suggests edits, alternatives, consistency fixes	Correct meaning, tone, terminology; ensure style guide compliance
Review / in-country review	Flags potential issues (terminology, consistency, omissions)	Validate meaning and local appropriateness; request changes; approve/reject
Quality checks	Runs automated checks (formatting, punctuation, placeholders)	Inspect edge cases, UI fit, legal phrasing, brand voice
Approval / sign-off	Can surface a checklist (if configured)	Make the release decision; document rationale for exceptions
Export / delivery	Formats output; may automate connector push	Confirm correct files/versions; perform final spot checks

Example workflow templates (customers adapt these)

The following templates are examples of how enterprise buyers often tier workflows by risk. Your organization can adapt steps, roles, and gating rules.

Template A: Marketing content (lower-to-medium risk)

Typical goal: brand-appropriate copy with fast turnaround.

AI draft translation
Human post-edit (linguist)
Brand/marketing review (optional for lower risk; recommended for campaign launches)
Approval gate before export

Template B: Product / UI strings (medium risk)

Typical goal: correctness + consistency + fit, with attention to variables/placeholders.

Pre-translation prep (term/placeholder checks)
AI draft translation
Human post-edit
Functional/UI review (in-context or with screenshots)
QA checks (placeholders, length warnings, formatting)
Approval gate before export to engineering/CMS

Template C: Regulated or high-risk content (high risk)

Typical goal: strong control points, traceability, and separation of duties.

Intake with explicit classification (high-risk)
Pre-translation prep with mandatory terminology/legal references
AI draft (or restricted AI use depending on policy)
Human post-edit by qualified linguist
Second-person review (four-eyes principle)
Subject-matter or legal review
Formal approval by authorized approver group
Export locked until approval; re-approval required after changes

Risk-tiered workflow template matrix (recommended steps)

Risk tier (example)	Typical content	Recommended steps (example)	Recommended gating
Tier 1 — Low	Internal drafts, low-visibility updates	AI draft → light human edit (optional) → export	Optional approval; allow export for assigned users
Tier 2 — Medium	Marketing pages, help content, UI strings	AI draft → human post-edit → reviewer check → QA checks → export	Require review before export; restrict who can export
Tier 3 — High	Legal, safety, regulated, contractual	Intake classification → (optional/restricted) AI draft → post-edit → independent review → SME/legal review → formal approval → export	Mandatory multi-step approvals; separation of duties; re-approval on changes

Auditability and reporting

For enterprises, “auditability” means you can reconstruct who did what, when, and to which asset.

Audit logs are typically available:

Self-serve in the UI (for authorized users)
Via API (for integration into internal reporting/SIEM pipelines where applicable)
Via export (e.g., downloading log data for a time range)
Via support-request reporting (when you need help producing a report or extracting historical detail)

Examples of events organizations commonly audit:

Upload / import events (files, assets, or content submissions)
Edit events (segment edits, comment/resolution changes)
Approve / reject events (including who approved and when)
Export / download events (deliveries, file exports)
User access events (logins, role/permission changes, user invitations/removals)
Payments actions (payment method changes, payment initiation/processing events, invoice-related actions—depending on what your workspace uses)

If you have strict requirements for retention, export format, or event coverage, validate them during your security/procurement review.

Operational controls that make HITL work

Concrete practices that enterprises commonly implement:

Content classification at intake (risk tier drives the workflow)
Checklists for reviewers/approvers (what must be verified)
Locked steps (e.g., export locked until approval)
Exception handling (who can override, and how it is recorded)
Sampling rules (e.g., 100% review for Tier 3; spot checks for Tier 1)

FAQ

Is human review optional?

Yes—it’s configurable. Many enterprise buyers choose to require one or more human approval steps for higher-risk content (legal, regulated, safety, customer-facing UI), while allowing lighter review for low-risk internal or short-lived content.

A practical way to decide:

Classify content by impact of an error (legal exposure, safety risk, brand risk, customer harm).
Map each tier to a minimum control set (e.g., Tier 3 requires independent review + formal approval).
Define who can approve and what happens if content changes after approval.

Can we prevent exporting until approvals are complete?

In an enterprise control model, approvals are most effective when they are connected to a release gate (e.g., blocking export/download until approval is recorded). Configure the workflow so only authorized roles can complete the approval step and trigger delivery.

How do we assign reviewers by language or domain?

Common approaches are per-locale reviewers (one per target language), domain-specific reviewers (legal/medical/technical), or reviewer pools. Choose based on subject matter complexity and the cost of defects.

What should we audit for localization projects?

At minimum: who uploaded content, who edited it, who approved it, and who exported/downloaded it—plus user access changes. If payments are involved in your workflow, include payment-related actions in your audit scope as well.

Human-in-the-loop AI translation for enterprises