Overview

The Ollang Project Management Dashboard supports both:

AI-only workflows,
and AI + Human Review workflows.

This allows organizations to:

fully automate localization,
integrate internal reviewers,
assign external linguists,
onboard dubbing studios,
or combine AI and human review pipelines.

The workflow selected during Order creation determines:

how the Order is processed,
who can review it,
and how final delivery occurs.

Workflow Types

AI-only Workflow

Fully AI-generated localization workflow that remains editable and assignable after generation.

AI + Human Review Workflow

Workflow where human linguists or editors review, refine, and deliver the generated output.

AI-only Workflow

Overview

AI-only workflows generate localization outputs using AI orchestration pipelines without automatically assigning a human reviewer. However:

AI-only Orders remain editable,
rerunnable,
and assignable after generation.

This means organizations can still:

internally review outputs,
assign linguists later,
or reprocess workflows if needed.

AI-only Workflow Behavior

Source Asset
        ↓
AI Processing
        ↓
Generated Output
        ↓
Editable / Assignable / Downloadable

Important Clarification

AI-only does not mean the Order is locked or non-editable.

Project Management Users can still:

edit outputs,
rerun workflows,
assign editors,
assign linguists,
or deliver outputs manually.

AI + Human Review Workflow

Overview

AI + Human Review workflows combine:

AI-generated localization,
with human editing and review operations.

This workflow is commonly used for:

enterprise localization,
accessibility workflows,
high-visibility media,
regulated industries,
and premium localization pipelines.

AI + Human Review Pipeline

Source Asset
        ↓
AI Processing
        ↓
Human Assignment
        ↓
Editing / Review
        ↓
Final Delivery

Human Review Assignment Logic

Human review assignments will involve Ollang-managed reviewers. Organizations can request human review support from Ollang.

Example Assignment Workflow

Project Manager creates Order
        ↓
AI generates output
        ↓
Ollang's Project assigns the order to a Linguist
        ↓
Linguist edits and delivers Order

Editor Interface

Editors and linguists perform operational review inside the:

Editor Interface.

The Editor Interface supports:

subtitle editing,
transcription editing,
timing adjustments,
dubbing review,
speaker management,
and multilingual delivery operations.

Subtitle Editing Capabilities

Editors can:

edit subtitle text,
modify timing,
split subtitle segments,
merge subtitle segments,
optimize CPS/CPL,
adjust readability,
and refine localization quality.

Dubbing Editing Workflows

For AI Dubbing workflows, editors can:

review generated translations,
refine dialogue,
optimize pacing,
modify localized text,
and rerun synthesis workflows.

Depending on the workflow:

resynthesis (Text-To-Speech Operations) may occur after edits.

Segment-Level Editing Behavior

If a subtitle or dubbing segment is split:

edits operate at segment level.

Example:

Original segment:
"Welcome to the platform."

Segment split into:
- "Welcome"
- "to the platform."

If one segment changes later:
- only the edited segment may require regeneration.

Human Delivery Workflow

After editing is completed:

editors or linguists deliver the Order.

Delivery updates:

Order status,
Project visibility,
and downstream operational workflows.

The finalized outputs then appear inside:

the Project Management Dashboard.

Review Visibility Rules

Project Management Users generally have visibility into:

all organizational Projects,
all Folders,
and operational workflows.

Editors and linguists only see:

explicitly assigned Orders.

Example Visibility Structure

Folder contains:
- 10 Projects
- 200 Orders

Editor assigned:
- 5 Orders

Result:
- Editor only sees assigned Orders.

AI QC and Human Review

Human review workflows may operate alongside:

AI QC evaluation,
QC thresholds,
and workflow automation rules.

Organizations may configure workflows such as:

If QC score < threshold
        ↓
Automatically assign linguist

This enables:

scalable review operations,
automated escalation,
and multilingual QA workflows.

Rerun Workflows

Orders may be rerun after:

subtitle edits,
workflow changes,
translation refinements,
or synthesis adjustments.

Rerunning may regenerate:

subtitles,
translations,
dubbing outputs,
or downstream deliverables.

Studio Dubbing Review Workflows

Studio Dubbing workflows support:

externally managed recording operations,
uploaded dubbing assets,
and final delivery coordination.

Studios may:

upload final mixes,
upload dubbing vocals,
or coordinate delivery assets inside the platform.

AI QC Evaluation

Overview

AI QC Evaluation allows Project Management Users to automatically evaluate subtitle localization quality using configurable AI-based quality assessment. This workflow is currently available for:

Subtitle Translation Orders.

The feature helps organizations:

evaluate localization quality,
identify linguistic weaknesses,
benchmark translation performance,
and improve multilingual consistency before delivery.

How AI QC Evaluation Works

Project Management Users can run an AI-powered quality evaluation directly from the Order interface.

Workflow:

Subtitle Order
        ↓
Click "QC Evaluation"
        ↓
Configure Evaluation Settings
        ↓
Select Model + Prompt
        ↓
Run Evaluation
        ↓
QC Results Generated

The system evaluates subtitle quality based on:

predefined evaluation criteria,
optional custom criteria,
selected evaluation model,
and prompting instructions.

Default Evaluation Criteria

The platform currently includes four built-in evaluation dimensions:

Accuracy

Evaluates whether the translation preserves the intended meaning of the source content.

Fluency

Evaluates readability, grammar, and natural language quality.

Tone

Evaluates whether tone, voice, and intent remain consistent with the original content.

Cultural Fit

Evaluates whether localized content feels contextually and culturally appropriate for the target audience.

Custom Evaluation Criteria

Organizations may optionally define:

custom evaluation criteria.

This allows teams to evaluate content based on:

brand guidelines,
legal requirements,
subtitle standards,
accessibility expectations,
or domain-specific localization rules.

Example:

Custom Criteria:
"Medical Terminology Compliance"

Prompt:
Evaluate whether approved medical terminology was consistently preserved.

AI QC Results

Once evaluation is completed: The system generates:

QC scoring,
evaluation reasoning,
criteria-level analysis,
and quality observations.

These results help organizations:

validate localization quality,
identify problem areas,
and decide whether human review is required.

Human QC Annotation

Overview

Human QC Annotation enables linguists and editors to evaluate AI-generated subtitle output using structured quality tags. Unlike AI QC Evaluation:

Human QC Annotation is performed manually by a linguist during review.

This workflow allows organizations to:

audit AI quality,
identify recurring issues,
benchmark linguistic weaknesses,
and improve future localization workflows.

When Human QC Annotation Happens

Human QC Annotation occurs:

AI generates subtitle Order
        ↓
Order assigned to linguist/editor
        ↓
Linguist reviews segments
        ↓
Annotations added where needed
        ↓
Order delivered
        ↓
Annotation Summary generated

This workflow is available only when:

Human QC Annotation is enabled in configuration settings.

Important Operational Behavior

Linguists do not need to annotate every subtitle segment.

Annotations are only added:

to segments where issues are identified.

This keeps the workflow:

efficient,
scalable,
and operationally practical.

Human QC Categories

Editors can tag subtitle segments using predefined categories:

Accuracy

Used when translated meaning is incorrect or incomplete.

Terminology

Used when approved terminology or glossary usage is inconsistent.

Hallucination

Used when AI introduces fabricated, missing, or unsupported content.

Verity

Used when factual correctness or contextual truthfulness is affected.

Severity Levels

Each annotation can additionally include:

severity classification.

Available severity levels include:

Minor

Small issue with limited localization impact.

Major

Significant issue affecting localization quality or readability.

Critical

Severe issue requiring immediate correction.

Example Annotation Workflow

Example subtitle segment:

Source:
"We launched the feature globally."

AI Translation:
"We launched the bug globally."

Human QC Annotation:

Category: Accuracy
Severity: Major
Issue:
Incorrect translation altered intended meaning.

Annotation Summary

Once the linguist delivers the Order: Project Management Users can access:

Human QC Annotation results.

The platform generates an annotation summary including:

number of annotated segments,
category distribution,
severity distribution,
top recurring issues,
and localization quality insights.

Example Annotation Summary

Human QC Annotation Summary

Segments Reviewed: 245
Annotated Segments: 18

Category Distribution:
- Accuracy: 8
- Terminology: 5
- Hallucination: 3
- Verity: 2

Severity Distribution:
- Minor: 10
- Major: 6
- Critical: 2

Exporting Annotation Reports

Human QC Annotation reports can be downloaded as:

Excel (.xlsx)

This enables:

enterprise auditing,
vendor benchmarking,
linguist performance reviews,
and multilingual quality reporting.

AI QC vs Human QC Annotation

AI QC Evaluation

Automated evaluation using configurable prompts, models, and quality criteria.

Human QC Annotation

Manual linguist-driven quality tagging performed during subtitle review.

Organizations commonly combine both workflows to benchmark AI quality while also collecting human linguistic feedback.

Important Operational Notes

Can AI-only Orders still be edited?

Yes. AI-only Orders remain editable, rerunnable, and assignable to the inner team members after generation.

Can Project Management Users assign Orders to themselves?

Yes. Orders may be assigned internally or externally depending on operational workflows.

Can organizations use their own linguists?

Yes. Organizations may onboard their own editors, linguists, agencies, or dubbing studios.

Can Ollang provide human reviewers?

Yes. Human review support can also be coordinated through Ollang-managed linguists.

Do editors see all Projects?

No. Editors only see explicitly assigned Orders.

Can Orders be rerun after edits?

Yes. Orders may be rerun after workflow modifications, translation changes, or dubbing refinements.

​Overview

​Workflow Types

AI-only Workflow

AI + Human Review Workflow

​AI-only Workflow

​Overview

​AI-only Workflow Behavior

​Important Clarification

​AI + Human Review Workflow

​Overview

​AI + Human Review Pipeline

​Human Review Assignment Logic

​Example Assignment Workflow

​Editor Interface

​Subtitle Editing Capabilities

​Dubbing Editing Workflows

​Segment-Level Editing Behavior

​Human Delivery Workflow

​Review Visibility Rules

​Example Visibility Structure

​AI QC and Human Review

​Rerun Workflows

​Studio Dubbing Review Workflows

​AI QC Evaluation

​Overview

​How AI QC Evaluation Works

​Default Evaluation Criteria

Accuracy

Fluency

Tone

Cultural Fit

​Custom Evaluation Criteria

​AI QC Results

​Human QC Annotation

​Overview

​When Human QC Annotation Happens

​Important Operational Behavior

​Human QC Categories

Accuracy

Terminology

Hallucination

Verity

​Severity Levels

Minor

Major

Critical

​Example Annotation Workflow

​Annotation Summary

​Example Annotation Summary

​Exporting Annotation Reports

​AI QC vs Human QC Annotation

AI QC Evaluation

Human QC Annotation

​Important Operational Notes

Overview

Workflow Types

AI-only Workflow

Overview

AI-only Workflow Behavior

Important Clarification

AI + Human Review Workflow

Overview

AI + Human Review Pipeline

Human Review Assignment Logic

Example Assignment Workflow

Editor Interface

Subtitle Editing Capabilities

Dubbing Editing Workflows

Segment-Level Editing Behavior

Human Delivery Workflow

Review Visibility Rules

Example Visibility Structure

AI QC and Human Review

Rerun Workflows

Studio Dubbing Review Workflows

AI QC Evaluation

Overview

How AI QC Evaluation Works

Default Evaluation Criteria

Custom Evaluation Criteria

AI QC Results

Human QC Annotation

Overview

When Human QC Annotation Happens

Important Operational Behavior

Human QC Categories

Severity Levels

Example Annotation Workflow

Annotation Summary

Example Annotation Summary

Exporting Annotation Reports

AI QC vs Human QC Annotation

Important Operational Notes