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Diversity, Equity & Inclusion

Inclusive Language Agent

ai

Review job postings, policies, and communications for non-inclusive language. Suggest alternatives that attract diverse talent and promote belonging.

Diversity, Equity & InclusionTalent AcquisitionPeople Operations
35%
Increase in diverse applicant pool
90%
Policy documents reviewed and updated
< 5 sec
Language review turnaround time
Use Case 1

Job Posting Review

Trigger: New job posting created

1.Scan posting for non-inclusive language
2.Flag problematic terms with explanations
3.Suggest inclusive alternatives
4.Check requirements list length and structure
5.Review for unnecessary degree requirements or criteria
6.Generate optimized posting
✓

Job postings that attract 35% more diverse applicants.

Use Case 2

Policy Document Audit

Trigger: Annual review or new policy creation

1.Scan document for gendered, ableist, age-biased, and culturally exclusionary language
2.Flag instances with context and explanation
3.Generate inclusive alternatives that preserve legal meaning
4.Produce tracked-changes version for review
5.Report on overall inclusivity score
✓

Company communications that reflect inclusive values and attract diverse talent.

Integrations

ATS (Greenhouse, Lever)
Document Management (Google Docs, SharePoint)
Slack / Teams Integration

Industries

healthcaretechnologyfinancial-servicesretailmanufacturingprofessional-servicespublic-sectorhospitalityother

See It In Action

A sample conversation with this agent

Review this job posting for inclusive language.

I've reviewed the Senior Software Engineer job posting. Findings:

Flagged terms:
- 'Rockstar developer' -> Suggest: 'Experienced developer' (gendered/exclusionary connotation)
- 'Must have 10+ years experience' -> Suggest: '7+ years or equivalent expertise' (unnecessary floor that disproportionately excludes women and career changers)
- 'Fast-paced, high-pressure environment' -> Suggest: 'Dynamic environment where we move quickly and support each other' (pressure framing deters diverse applicants)
- 'Culture fit' -> Suggest: 'Culture add' or 'values alignment' (fit language can mask bias)

Also note: The posting lists 15 requirements, which research shows deters women from applying (they tend to apply only when meeting 100% of criteria vs. 60% for men). Recommend separating into 5-7 'required' and 5-8 'nice to have.'

Scan our employee handbook for non-inclusive language.

I've scanned the 85-page employee handbook. Found 23 instances to address:

- 12 instances of gendered language ('he/she' -> 'they', 'manpower' -> 'workforce')
- 4 instances of ableist language ('blind spot' -> 'gap', 'falling on deaf ears' -> 'being overlooked')
- 3 instances of age-biased language ('young and energetic team' -> 'motivated team')
- 2 instances of potentially exclusionary cultural assumptions ('Christmas party' -> 'holiday celebration')
- 2 instances of militaristic language that may not resonate across cultures ('war room' -> 'situation room')

I've generated a tracked-changes version with all suggested replacements. None change the legal meaning of any policy. Want me to generate the updated version for review?