Architecture:
the decision and execution system
Zeroe is building decision infrastructure: a system that converts fragmented enterprise data
into structured, reproducible decision artifacts that humans and AI systems can use safely.
How data becomes execution
Zeroe connects enterprise systems to governed execution.
We ingest data from systems of record, systems of work, and external sources.
We produce decision artifacts with context, lineage, and versioned logic.
We also run workflows that use those artifacts to drive action, including
approvals, automation, and agent steps.
ERP and financeProcurementOperations and asset systemsSpreadsheets and portalsSupplier dataExternal reference datasets
Dashboards and reporting packsAudit and assurance evidenceDownstream systems and data productsAutomation and agent workflows
Zeroe is the decision foundation and workflow runtime for enterprise execution.
Foundation building blocks
Decision infrastructure requires stable primitives that persist over time.
Zeroe is built around:
Organizations, subsidiaries, sites, assets, suppliers, portfolios
Raw events and transactions that capture operational reality
Time boundaries, location, ownership, attribution rules, scope, units, metadata
Versioned logic and assumptions that transform records into decision outputs
Source references, attachments, citations, and verification traces
Output objects with structured meaning, lineage, and reproducibility guarantees
Approval thresholds, ownership, escalation paths, and authorization boundaries
Decisions become scalable when the system stores meaning, not just numbers.
The data-to-decision pipeline
A decision artifact is produced through a governed pipeline.
Bring in raw records from enterprise systems and external sources.
Map records to consistent schemas without losing detail.
Enforce structural rules, units, completeness constraints, and quality thresholds.
Attach context: entity, time boundary, scope, attribution, and operational metadata.
Apply versioned domain logic to produce decision outputs.
Record how the output was produced and what inputs and methods were used.
Produce reusable outputs that can be inspected, reproduced, and signed off.
The pipeline matters because trust depends on how outputs are produced.
Reproducibility
and change control
Enterprise decision systems must remain stable over time.
Zeroe is designed to prevent silent drift by enforcing:
Method versioning and explicit change control
Full lineage from input to output
Detection of schema changes and reclassification
Auditable history of overrides and adjustments
Consistent output reproduction across reporting cycles
If results cannot be reproduced, they cannot be operationalized.
How humans and AI
use the system
Decision infrastructure supports both human and machine decision-making.
For humans, it provides:
Inspectable outputs with evidence and context
Consistent methods across regions and business units
Decision artifacts that can be challenged and defended
For AI systems, it provides:
Structured operational reality rather than raw, fragmented inputs
Stable methods and context objects to reason against
Machine-readable artifacts that can be proposed, reviewed, and approved
AI becomes deployable when the system provides stable context and governed outputs.
What we are not building
To avoid category confusion:
Not a data warehouse replacement
Not a generic ETL platform
Not a dashboard or BI layer
Not an AI model provider
Tools help produce outputs. Decision infrastructure makes outputs usable.
