RottawhiteRottawhite

AI in production

Measure the agent you already run

Agent Reliability AuditAI teams2–3 weeks · Fixed scopeFailure taxonomy, golden set, calibrated judge and a gate in CI.Model Migration2–3 weeks · Fixed scopeSwitch to a newer or cheaper model, scored side by side on your traffic.The eval harnessHow we test agents before every change ships.

Automate a workflow

Prove it on your documents first

Workflow PilotOps teams2 weeks · Credited to the buildOne workflow on your real documents, accuracy measured on about 200 samples.Production Agent Build4–10 weeksThe agent, its integrations and a human exception queue, with evals from day one.The audit trailHow each decision was reached, recorded for regulated work.

Keep it reliable

After launch, for both tracks

Reliability RetainerMonthlyRegression runs on every change and model release, and a monthly report.How we workBoth tracks, in the order they should happen.Security and dataWhat we access, where data lives, and what is deleted at handover.

Manufacturing

Paperwork off the factory floor

AI for ManufacturingDocument intake, quality signals and agents that keep the ERP honest.ELISRUN case study60% defect reduction, with the numbers published.

Logistics

The paperwork behind the freight

AI for LogisticsPODs, carrier invoice reconciliation and status agents with human-in-the-loop.

Field Service

Office work off the crews

AI for Field ServiceJob intake, quote drafting from your history, completion-to-invoice.
Case StudiesArticlesAbout
Book a call →
Back to Case Studies
Case study · Manufacturing

How AI-powered quality inspection reduced defect rates by 60%

A manufacturing client was losing significant revenue to defective products. Rottawhite built and deployed a computer vision system that transformed their quality control process.

60%
Defect Reduction
40%
Efficiency Gain
14mo
ROI Payback
12wk
Delivery Time

The challenge

Elisrun, a mid-size precision manufacturer, was experiencing a 15% defect rateon their production line. Manual quality inspection was inconsistent, slow, and couldn't keep up with production volume. Defective products were reaching customers, leading to returns, lost contracts, and reputational damage.

Related: how Thinklusive eliminated 60% of manual work · our AI work for manufacturing operations

They needed a system that could inspect every unit in real-time, flag defects instantly, and provide data to prevent recurring issues.

The solution

Rottawhite designed and deployed a computer vision quality inspection system that analyzes every product on the line using high-resolution cameras and custom-trained ML models. The system:

  • →Detects surface defects, dimensional errors, and assembly issues in real-time
  • →Classifies defect types and severity for root cause analysis
  • →Integrates with existing MES for automated line stops
  • →Provides a real-time dashboard for quality metrics and trends
  • →Includes predictive maintenance alerts based on defect patterns

Technology stack

PythonTensorFlowOpenCVAWS IoTReact DashboardPostgreSQLDockerEdge Computing

Delivery timeline

Wk 1-2
Discovery & Data Collection

On-site audit, camera placement planning, initial dataset collection

Wk 3-6
Model Training & MVP

Custom model training, integration with production line cameras

Wk 7-10
Production Deployment

Real-time inference pipeline, MES integration, dashboard build

Wk 11-12
Optimization & Handoff

Model fine-tuning, team training, documentation, handoff

Results after 6 months

Defect Rate
Before: 15%→After: 6%60% reduction
Inspection Speed
Before: ~30 sec/unit (manual)→After: <1 sec/unit (automated)30x faster
Production Efficiency
Before: Baseline→After: +40% throughput40% improvement
Customer Returns
Before: ~8% of orders→After: <2% of orders75% reduction

Want results like these?

Book a free 30-minute consultation with a senior architect. We'll discuss your specific challenges and outline a clear path forward.

Book a Consultation →Email: contact@rottawhite.com →
Rottawhite· rottawhite.com · contact@rottawhite.com · AI systems studio for US, UK & global companies
RottawhiteRottawhite

We build production-grade AI agents and RAG systems for manufacturing, logistics, and field-service teams. Every build ships with an eval harness and an audit trail.

What We Build
Agent Reliability AuditModel MigrationWorkflow PilotProduction Agent BuildReliability RetainerManufacturingLogisticsField ServiceArticles
How We Work
Both TracksSecurityEval HarnessAudit TrailCase StudiesPortfolioAboutContact
Get in Touch
Book a Discovery Call →contact@rottawhite.comWhatsApp: +91 98961 40520BHIVE Workspace, L-148, 5th Main Rd,
Sector 6, HSR Layout, Bengaluru,
Karnataka 560102, India
IST (UTC+5:30) · 4-6hr overlap with US/UK
© 2026 Rottawhite LLP. All rights reserved.
Built with intention · Shipped in weeks