One platform, fifteen engines
AWIS is built as independent, governed engines that share a single knowledge operating system. Every score, rule, and interpretation is versioned, explainable, and reproducible.
Methodology Engine
Author domains, dimensions, constructs, behaviours, quotients, and blueprints in a governed layer.
Knowledge OS
Canonical runtime repository of published methodology consumed by every engine.
Rule Engine
Versioned, deterministic rules with full execution traces and dependency maps.
Runtime Engine
Deterministic transformation of assessment evidence into scored constructs and quotients.
Intelligence Execution Engine (IXE)
Metadata-driven pipeline that produces traceable intelligence artifacts.
Human Intelligence Model (HIM)
Reusable semantic model of constructs, relationships, quotients, and development pathways.
Intelligence Orchestration Engine (IOE)
Master framework coordinating all engines with retries, snapshots, and version resolution.
Report Intelligence Engine (RIE)
Assemble enterprise reports from reusable templates, sections, and components.
AI Operating System (AIOS)
Explainable narrative generation with guardrails, prompt versioning, and audit logs.
Research Platform (HIRB)
Privacy-preserving research datasets, benchmarks, and longitudinal studies.
Integration Platform (EIDP)
Governed APIs, SDKs, webhooks, SSO/SCIM, and connectors with tenant isolation.
Platform Operations (POEG)
Health, observability, incidents, backups, compliance (GDPR/SOC2).
Campaigns
Schedule and monitor multi-audience assessment campaigns with runtime policies.
Assessment Studio
Design assessments with sections, question pools, and version control.
Multi-tenant Foundation
Organizations, teams, roles, and audit — isolated by tenant with row-level security.