The infrastructure for learning, supervision and risk control
There can be no agentic AI actions in a regulated industry without this fundamental construct.
Self-describing events that can be observed, actioned, or quarantined in real-time
Explicit permission context for every data change
Sample, supervise, or peer-review AI actions
Complete decision trace and communication history between entities, in the context of work
Learning from all actions: human, automaton, or AI
Full audit trail. Human or AI.
Every Role is a First-Class Citizen
Ontoz defines a way to work for every role. Most enterprise systems are built for only a few.
Business User
Customer/Partner
Policy Administrator
Decision Makers
Auditor
Product Manager
Developer
Quality Engineer
Support Specialist
Trainer
AI Ops
Communication and coordination within task context
Ontoz reimagines coordination by not requiring business users to rely on their memory to follow up on events.
Customer shares document via WhatsApp
Initial document received and logged in the system
Ontoz processes and follows up after 1 day
Automatic follow-up with progress update
Routes to legal team with OCR summary and SLA warning
Context-aware handoff with all relevant information
Legal uploads opinion
Complete work item resolution and audit trail
A template for everything
Ontoz architecture offers us an opportunity to build a template for everything. Library of templates define the functional ontology of work.
Work Inbox
Tasks
Activities
Process
Event Database
Queries
Testing DSL
Test Data
DSL
Integrations
Data Definition
Decisions
Activity Internal