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Ishtar AI Research Lab
Publishing production LLMOps research, reference architectures, and evaluation tooling. Publishing new research artifacts and reference builds.

The Challenge

Content review and approval workflows were manual and slow, creating bottlenecks in content production pipelines. Content teams spent 40% of their time on review and approval tasks.

Our Solution

We built an agentic automation system with human-in-the-loop checkpoints, automated content review, and intelligent routing for approval workflows. The system included brand safety checks, provenance tracking, and disclosure workflows.

Results

Accelerated content production by 60%, reduced manual review time, and improved content quality through automated checks.

60% faster
Production Speed
50% reduction
Review Time
25% improvement
Content Quality

Measurement Period: 16 weeks post-deployment

Methodology: Production metrics tracking and quality audits

Time-to-Value

Total Duration: 12 weeks

  • Kickoff: Week 1
  • Architecture Review: Week 2
  • Build Complete: Week 9
  • Pilot Deployment: Week 10
  • Production Rollout: Week 12

Architecture & Scope

Components Deployed

  • Agent orchestration engine
  • Content review API
  • Approval workflow system
  • Brand safety checker
  • Provenance tracker

Integration Points

  • Content management system
  • Slack notifications
  • Approval queue dashboard
Architecture Diagram

Risk & Controls Implemented

Audit Trails

Complete audit logging of all content decisions

Permission Models

Role-based approval workflows

Evaluation Harnesses

Automated brand safety and quality scoring

Compliance Controls

Synthetic media disclosure compliance

Artifacts

Screenshots

Sample Outputs

Example approval workflow dashboard

Interested in Similar Results?

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