LUMENALTA BUILD SYSTEM
Senior-Led AI Orchestration
Codifying tribal engineering knowledge into high-throughput execution systems.
The GTM Framework
M
Metrics
Targeting 40-60% cycle time compression and 3–5× throughput.
E
Economic Buyer
CTOs and VPs of Engineering focused on non-headcount-driven growth.
D1
Decision Criteria
Preference for 'AI-Native' systems over generic body-shopping.
D2
Decision Process
Accelerated via short assessment-to-pilot cycles (2-6 weeks).
P
Paper Process
Leveraging HIPAA/SOC2 ready governance for faster security clearance.
I
Identify Pain
Eliminating 'sequential SDLC' bottlenecks and senior dev alert fatigue.
C1
Champion
Head of AI or Digital Innovation needing proven GenAI implementation.
C2
Competition
Direct dev shops and indirect dev productivity tool auctions.
Build Objectives
Standardize Quality: Ensuring every AI task meets senior engineering standards.
Capture ROI Patterns: Hard-coding 3–5× throughput prompts for specific verticals.
Mitigate Delivery Risk: Using certification gates to verify orchestrator readiness.
Build Artifacts
Senior Orchestrator BadgeC1, E, D2
Mastery standards for AI-native engineering pods.Parallel Capture KitC1, C2
Tooling for harvesting best-in-class prompt patterns.AI-Native Security SpecP, D1
Automated governance gates for parallel thread execution.