Answers for the enterprise evaluator.

A unified enterprise operating layer is a single platform that runs corporate strategy, operations, data, and AI on one shared semantic model — replacing the integration layer between ERP, CRM, ITSM, and HCM with native modules under one governance plane. Enterprise Singularity is built from the ground up for this pattern.

Those platforms solve one functional slice well. ServiceNow owns service operations. Workday owns HR and finance. Salesforce owns CRM. SAP and Oracle own core ERP. Each one assumes you will integrate the rest through middleware. Enterprise Singularity covers six business functions, corporate strategy, and governance on one semantic model, so the cost and fragility of integration is removed from the problem entirely. The result is strategy-to-execution visibility without a systems integrator rebuilding it every quarter.

SEOM is Enterprise Singularity’s Semantic Enterprise Ontology Model — the knowledge graph that connects customers, orders, projects, controls, risks, vendors, assets, and employees across every module. Because every module reads and writes the same model, workflows and AI agents reason across finance, supply chain, HR, and risk without crossing an integration boundary.

The platform is built to coexist with the systems you already run. It connects to ERP (SAP, Oracle, NetSuite), CRM (Salesforce, Dynamics), ITSM (ServiceNow, Jira), HCM (Workday, SuccessFactors), identity providers (Okta, Entra ID), cloud data warehouses (Snowflake, Databricks, BigQuery), and common messaging and document stores. An Integration Builder is included for connectors your team needs to build in-house.

First production module is typically live in 8 to 14 weeks. Because the platform ships with a complete semantic model and pre-built modules, teams skip the 6-to-12 months of data modeling and integration scaffolding that traditional ERP and platform rollouts require. Full enterprise rollout timelines depend on scope and change management, but most clients run their first end-to-end workflow inside a single quarter.

The platform is built to SOC 2 Type II and ISO 27001 control standards, and supports GDPR, HIPAA, and industry-specific frameworks as part of the deployment scope. Data residency is configurable per region, including EU, US, UK, and APAC. Private cloud and air-gapped deployment options are available for regulated industries on request.

You do. Enterprise Singularity operates on your tenant, your storage, and your identity. Raw data never leaves your boundary for model training. AI agents run with enterprise context using retrieval and governed tool-calls rather than by sending your data to a shared model. Contractual data ownership, exportability, and right-to-delete are standard in every agreement.

Every AI agent runs inside the same governance plane as workflows, data, and identity — role-based access, data classification, policy enforcement, audit trails, explainability, and human-in-the-loop review are applied by default. The AI Foundry adds agent evaluation, red-team tooling, drift monitoring, and compliance reporting across every agent and model version.