How should the five business domains translate into product architecture?

Not a software vendor.
A long-term builder.
NeoStruX AI is looking for a technology partner that can challenge the thinking, improve the architecture, recommend the right path, and help build an enterprise platform capable of scaling over many years.
BUSINESS VISIONReal distribution problems require more than outsourced development.
The product is born from operating ArmiCare Insurance, Spantronics, and customer-acquisition programs in insurance and solar.
The partnership must translate firsthand operating knowledge into a coherent product architecture—then carry that architecture into documented, secure, scalable implementation.
The decisions that must be resolved before engineering accelerates.
Discovery aligns the five-domain business model with MVP scope, data foundations, intelligence, economics, security, and long-term architecture.
What belongs in the MVP, and what must be architected for later phases?
How should customer, lead, agent, AI-agent, carrier, contractor, and commission data be structured from day one?
How can Neo Intelligence™ serve every domain rather than become another isolated AI feature?
How should MCEP™ be architected now so the future economic layer does not require a platform redesign?
Which security, compliance, AI-governance, and acquisition-readiness practices belong in the foundation?
From shared vision to formal product definition.
MCEP™ is the shared economic layer. Executive Intelligence is the measurement layer.
Multi-industry commissions, loyalty, AI-agent participation, benefit pools, growth funds, earning attribution, and cross-vertical monetization belong to MCEP. Revenue, cost, CPA/CAC, LTV, persistency, chargebacks, profitability, dashboards, and forecasting belong to Executive Intelligence.