Enginuity Engineering

VP of Engineering View

Data as of: 07:00 AM (Nightly Drop: E2 Shop System)

CFO Visibility: All metrics feed the CFO Command Center

System Synced

CFO Link: Engineering KPIs directly drive Blended Margin Variance and Cash Conversion Cycle on the CFO Command Center. High rework = margin bleed. Slow cycle time = longer CCC.

First Pass Yield

→ Margin
84.2% vs 95% target

12 jobs failed inspection this month

Rework Rate

→ Margin
8.3% vs 3% target

$42,000 in unplanned rework cost (MTD)

Avg Design Cycle Time

→ CCC
6.2 Days ↑ 0.8 days

Target: 5.0 days design to floor

ITAR Compliance Score

→ Risk
100% Audit Clean

Last audit: Mar 2025 | Next: Sep 2025

Deep Dive: First Pass Yield (FPY)

% of jobs that pass quality inspection without any rework. Industry benchmark for custom manufacturing: 92–96%.

Routing / Process Jobs Run First Pass FPY % CFO Impact
TIG Weld Bay 42 32 76.2% $28,000 unplanned labor
CNC Machining 68 65 95.6% On target
Assembly 55 49 89.1% $14,000 unplanned labor

AI Recommendation

TIG Weld Bay is the single largest FPY failure point. Isolate the 3 welders with the highest rework incidence and schedule a joint engineering/ops review. Fixing this routing to 90% FPY recovers $18,000/month in margin — that is $216,000 annualized.

Deep Dive: Rework Rate

The hidden margin killer. Every rework hour is an hour that was already billed to a job and cannot be billed again.

Rework Hours (MTD)
312 hrs
Avg Fully Loaded Labor Rate
$135/hr
Total Rework Cost (MTD)
$42,120

AI Recommendation

Rework is being spread across jobs by shop floor staff to avoid foreman accountability. Cross-referencing material consumption logs against timesheet entries reveals 3 anomalous jobs where hours were redistributed. Flag these for engineering review. Implement a Rework Code requirement in E2 at job close — no close without a root cause code.

Deep Dive: Design Cycle Time

Days from customer RFQ approval to production-ready design package. Every day saved here shortens your Cash Conversion Cycle by one day.

Cycle Time by Job Complexity

  • Simple (1–5 routings)3.1 days
  • Medium (6–12 routings)6.8 days
  • Complex (13+ routings)11.2 days

AI Recommendation

Complex jobs are the bottleneck. Engineering is sequencing complex jobs manually with no parallel-path workflow. Introducing a concurrent engineering review checklist for 13+ routing jobs reduces average cycle time by 2.4 days — saving 4.8 days of CCC across your top 2 jobs per month. At $62M revenue, this unlocks ~$820,000 in working capital annually.

Deep Dive: ITAR & Data Security Compliance

Enginuity operates under a Zero-Training Sovereign Architecture. Your data never trains anyone else's model.

Data Isolation

Single-tenant vector databases. Your data is mathematically walled off from every other Enginuity client. No shared model memory.

Zero Training Policy

Customer data is never used to train foundational LLM models. Data passes through RAG memory in-session and is immediately wiped post-inference.

Encryption Standards

AES-256 encryption at rest. TLS 1.3 in transit. Hosted on Azure OpenAI (ITAR-compliant sovereign cloud environment).

Audit Trail

Every data access event is logged with timestamp, user ID, and record type. Full traceability for ITAR audit requirements.