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Rivac AI Labs
Design & Brand Experience

Inclusive Visuals Specialist

AI image and video models carry the biases of their training data by default (narrow body types, skewed skin-tone distributions, stereotyped roles) and that shows up in brand imagery whether anyone intended it or not. This service audits generated and planned visual content for those patterns and corrects them through targeted prompting, generation settings, and sourcing, so imagery actually reflects the audience it's meant to reach. It's for teams scaling AI-generated visuals fast enough that nobody's individually reviewing every image for representation, and who don't want to find out about a bias problem from a public callout. The output is corrected assets plus a checklist your team can run without a specialist next time.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose current or planned imagery for representation gaps and recurring bias patterns

  2. 2

    Pilot corrected prompts and generation settings on a sample set to prove the fix works

  3. 3

    Review results against inclusion criteria with stakeholders before applying it at scale

  4. 4

    Build the corrected asset library and launch a reusable review checklist for ongoing content

What You Get

Deliverables from this engagement

  • Representation audit report with specific findings
  • Corrected image and video assets
  • Inclusive-prompting guidelines for your team
  • Reviewer checklist for future generations
  • Ongoing spot-check process recommendation

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Asset Intake

  • Generated Image Batch
  • Planned Campaign Brief
  • Shared Drive Folder

Manual Bias Review

  • Bias Checklist Spreadsheet
  • Skin Tone Distribution Check
  • Body Type and Age Range Check
  • Stereotyped Role Check
  • Flagged Image List

Correction Loop

  • Targeted Prompt Rewrite
  • Adjusted Generation Settings
  • Regenerate Flagged Assets
  • Second Pass Review

Delivery

  • Corrected Asset Set
  • Reusable Checklist Handoff
  • Client Sign Off

Cloud-Native / Managed Services Architecture

Managed Generation Layer

  • Midjourney or Stability API
  • DALLE or Firefly API
  • Prompt Template Library

Cloud Asset Storage

  • Cloud Object Storage Bucket
  • Asset Metadata Database
  • Version History

Managed Bias Scoring

  • Vision API Demographic Attributes
  • Representation Scorecard Service
  • Threshold Rules Engine

Review Workflow

  • Notion or Airtable Review Board
  • Specialist Review Queue
  • Approved Asset Library
  • Client Delivery Portal

Event-Driven & Automation-First Architecture

Trigger Layer

  • New Asset Uploaded to Bucket
  • Storage Event Webhook

Automated Bias Scoring

  • Bias Scoring Function
  • Skin Tone Histogram Analysis
  • Demographic Parity Check
  • Risk Score Calculation

Automated Routing

  • Risk Above Threshold
  • Auto Approve Queue
  • Human Review Queue
  • Slack Notification

Automated Regeneration Loop

  • Prompt Template Engine
  • Auto Regenerate Request
  • Corrected Asset Store

Enterprise-Grade & Compliance-Ready Architecture

Governance Layer

  • Brand and DEI Policy Repository
  • Versioned Checklist Standard
  • Legal Stakeholder Sign Off

Access Control

  • Role Based Reviewer Access
  • Identity Provider SSO

Audited Review Pipeline

  • Asset Intake Log
  • Bias Scoring Engine
  • Specialist Review with Rationale
  • Immutable Audit Trail

Escalation and Redundancy

  • Secondary Reviewer
  • Escalation to DEI Board
  • Compliance Reporting Dashboard
  • Redundant Regional Storage

AI-Augmented, Human-in-the-Loop Architecture

Generation

  • Batch Image and Video Generation
  • Generation Metadata Capture

AI Bias Analysis

  • Vision Model Attribute Extraction
  • Representation Gap Scoring
  • Risk Ranked Asset Queue

Human Review Checkpoint

  • Specialist Review of Top Risk Assets
  • Approve Reject or Regenerate
  • Correction Instructions

Publication

  • Approved Asset Library
  • Brand Channel Publication
  • Checklist Feedback to Model Prompts
  • Post Launch Sentiment Monitoring

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems

  • Digital Asset Management System
  • Brand CMS
  • Marketing Automation Platform
  • Social Media Scheduler

Review Core

  • Asset Ingestion Adapter
  • Bias Review Engine
  • Specialist Review Dashboard

Notification and Ticketing

  • Slack or Teams Alerts
  • Jira Fix Backlog

Feedback Loop

  • Post Launch Analytics
  • Social Sentiment Monitoring
  • Checklist Update

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  • UI Designer

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  • UX Researcher

    User testing and behavioral research that turns real user behavior into concrete design decisions.

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Inclusive Visuals Specialist

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call