EXECUTIVE CASE STUDY

Lumenalta: AI-Native Delivery

Orchestrating 3–5× engineering throughput with senior-led parallel pods.

Operational Advantage

Lumenalta moves beyond AI-assisted coding into a fully **AI-native delivery system**. By codifying the tribal knowledge of senior leads into a context-aware execution layer, they achieve 40-60% cycle time compression without adding headcount.

42%
Avg. Cycle Time Compression
5.2x
Parallel Thread Velocity

The Deal OS Framework

Mapping high-fidelity engineering deliverables to sales methodology.

M
Metrics
Throughput Dashboard (D01)

Hard-coding 42% cycle time compression and 5.2x thread velocity.

E
Economic Buyer
Senior Pod Model Pitch

CTOs and VPs seeking non-headcount growth via parallel execution.

D1
Decision Criteria
Context Intelligence Spec (L02)

Priority on AI-native systems over generic staff augmentation.

D2
Decision Process
Pilot Execution Roadmap (L03)

De-risked via 2-week audits and 6-week production pilots.

P
Paper Process
Security Gate Spec (B03)

HIPAA/SOC2 ready automated governance for enterprise clearance.

I
Identify Pain
Parallel Coding Audit (L01)

Ending sequential SDLC bottlenecks and senior dev alert fatigue.

C1
Champion
Orchestrator Certification (B01)

Innovation leads needing governed, high-throughput delivery pods.

C2
Competition
Parallel Capture Kit (B02)

Defining a proprietary moat vs. generic dev shops.