One owner per fact
Producers own schemas. Data owners accept grain and measures. Policy owns action authority. A consumer may project a fact but cannot silently redefine it.
Enterprise platform architecture
Own the foundation your AI depends on.
Substrada establishes a client-owned Platform Baseline across applications, events, governed data, ML and AI. One architecture. Explicit contracts. Evidence before claims.
Production experience across industries
Financial servicesInsuranceRetailProfessional services01 · Why platforms fail
The first use case works. The tenth exposes the architecture.
Enterprise platforms fail in the spaces between teams: discovery becomes a naming convention, an event becomes a broker message, a dashboard owns a metric, a model alias moves without a verdict, or an agent’s prompt becomes its authority system.
Contracts over coordination
Stable seams let components change independently. Compatibility and pins replace implicit knowledge between teams.
Proof has a level
Designed, structurally verified, sandbox proven and production proven are different claims. Every limitation travels with the evidence.
02 · Platform Baseline
Five pillars. One accountable contract chain.
The architecture separates runtime and analytical blast radii, then joins them through discovery and events. Each pillar owns a different class of truth, failure and recovery.
Implementation mappings may change. Ownership, contract and recovery boundaries remain invariant.
03 · The pillars
Go deep where control becomes load-bearing.
Each section states a hard rule, the failure it prevents, the evidence to request and the limitation that remains.
01Operational systems
App Plane
Golden paths, discovery, identity, state protection, outbox delivery and rollback.
Hard rule: services discover capability handles; they do not inherit shared deployment state.
02Typed facts
Event Backbone
Producer ownership, schema evolution, ACLs, replay, dead letters and idempotency.
Hard rule: producers own event meaning; consumers own processing state.
03Governed meaning
Lakehouse
Preserved evidence, route-independent Bronze, declared Silver and one semantic definition.
Hard rule: ingestion reconciles; interpretation begins after the consume boundary.
04Versioned decisions
ML Factory
Point-in-time features, evaluation, champion gates, bundles, serving and drift ownership.
Hard rule: a candidate is never champion until an explicit gate accepts its evidence.
05Bounded effects
AI Factory
Retrieval authority, tool grants, action policy, approval, audit, memory and evaluation.
Hard rule: the decision is durable before an authorised effect exists.
A complete journey
Trace the change. Name the owner. Prove the recovery.
A useful architecture can follow one state change from application commit through events, governed data, ML or AI, and back to a bounded effect.
Follow the end-to-end journeyCommit
Business state and outbox evidence become one transaction.
Preserve
The original fact survives transport and downstream interpretation.
Interpret
Grain and measures are declared once in the governed layer.
Authorise
Policy and approval produce a durable verdict before action.
Industry experience
The underlying platform patterns have been applied in production work across financial services, insurance, retail and professional-services environments.
Financial servicesInsuranceRetailProfessional services
These are industry-level experience signals, not named-client case studies, contracts or endorsements.
Start with the Blueprint
A technical decision guide, before a sales conversation.
The GitBook Blueprint gives your team the architecture, controls, evidence ladder, readiness path and validation checklist in one current master edition.
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