Real results, real businesses.

The following represent the types of outcomes we deliver for operations-led businesses with data they aren't fully using yet.

Operational Anomaly Detection

How We'd Cut Material Variance 90 Days Into a Light Manufacturing Engagement

Representative engagement — operations-led business

Sensor / IoT Data ERP Transaction Logs Shift Operator Notes Production Telemetry

Challenge

A mid-sized contract manufacturer with four production lines was losing 8–12% of input material each month to untracked variance. Sensors and ERP logs existed, but no one was analyzing them systematically. When a batch came in short, supervisors investigated after the fact — often days later, after the trail had gone cold.

Approach

We ran a data readiness sprint across sensor telemetry, ERP transaction logs, and shift operator notes. We built a variance detection model that scored each production run nightly, surfacing anomalies before the next shift. A weekly prioritized action list replaced the post-mortem scramble.

Outcomes

  • Estimated 6–9% reduction in material variance within 60 days
  • Anomaly investigation time cut by 45%
  • Weekly flagged-run list replaced reactive end-of-month reviews

Key: Built on existing sensor data and ERP exports. No new hardware or software licenses required.

Asset & Resource Risk Prioritization

Prioritizing Capital Spend Across an Aging Fleet When Budget Forces Hard Choices

Representative engagement — operations-led business

Asset Management System Failure History Maintenance Records Utilization Data

Challenge

A regional distribution business operated 120 vehicles and depot equipment across five locations, much of it more than ten years old. Breakdown rates were climbing, but a flat capex budget meant every replacement had to count. Maintenance records existed in an asset management system; failure history was available but inconsistently logged.

Approach

We pulled asset attributes, failure history, maintenance records, and utilization data from the existing asset management platform. A risk scoring model assigned likelihood-of-failure and operational-impact scores to every asset, producing a ranked replacement and refurbishment list with documented reasoning for each decision.

Outcomes

  • Top 12% of flagged assets accounted for 65% of unplanned downtime costs
  • Capital planning cycle shortened from five months to four weeks
  • Leadership-ready risk summary produced on the first run

Key: Built on existing asset management data. Defensible, documented methodology for every prioritization decision.

Reporting & Compliance Automation

Reducing Monthly Regulatory Reporting Time from 40 Hours to Under 8

Representative engagement — operations-led business

Production Logs Quality Reporting System Operator Records Report Templates

Challenge

A regional food and beverage producer was spending 40+ staff-hours each month assembling traceability and food-safety reports across three data platforms: production logs, a quality reporting system, and operator records. Reports were late twice in the past year, drawing scrutiny from their certifying body.

Approach

We built standardized report templates with automated data pulls from existing production and quality systems, cross-check validation rules that flagged missing or inconsistent entries, and guided narrative prompts so operators completed reviews rather than building documents from scratch.

Outcomes

  • Monthly compliance packet completed in under 8 hours
  • Zero late submissions in the first six months
  • Audit-ready documentation available on demand

Key: No new software purchased. Works within existing reporting platforms and operator workflows.

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