Agent-native enterprise system of record
People work with agents. Agents operate the enterprise.
ORYH is headless enterprise software for the agent era. Employees express intent, judgment, and confirmation through the agent they choose. Agents invoke governed business capabilities; ORYH keeps identity, permissions, workflow state, records, and audit under company control.
ORYH is designed for compatible, company-permitted agents. Planned validation targets include Codex, Claude Cowork, Hermes Agent, and OpenClaw — check the dated matrix for current availability.
- Agent-facing execution
- Human-governed control
- Durable company facts
Clear definition
What is an agent-native enterprise system of record?
ORYH is an AI agent governance platform and enterprise system of record. It lets authorized AI agents operate business workflows while the company retains control of identity, permissions, structured records, approvals, workflow state, and audit evidence.
What is ORYH?
ORYH is an agent-native enterprise system of record and governance platform. It lets authorized AI agents operate business workflows while the company retains control of identity, permissions, structured records, approvals, workflow state, and audit evidence.
Is ORYH an AI agent?
No. ORYH is the governed enterprise layer behind compatible, company-permitted AI agents. The agent handles interaction and reasoning; ORYH decides what may become a durable company fact.
Does ORYH replace every existing business system?
No. ORYH can own selected records and workflows or coordinate with specialist systems. A company starts with a bounded workflow and keeps specialist products where regulated depth, industry networks, or mature ecosystems matter more.
How does ORYH govern AI agent writes?
Every consequential write is checked against verified identity, live authorization, typed input, legal workflow state, confirmation or approval requirements, idempotency, and audit policy before it is committed.
The shift
Enterprise software is becoming headless.
Traditional enterprise software assumes the employee is the primary software client — every business function requires its own screens, menus, forms, and workflow vocabulary employees must learn. General AI agents invert that relationship. The interface moves to the agent; the record, policy, and accountability must remain with the company.
Express intent, provide context, make judgments, handle exceptions, and confirm consequential actions.
Interpret requests, gather missing information, select approved capabilities, and coordinate work across business domains.
Authenticate the actor, enforce permission and state, validate structured facts, preserve workflow position, and commit audit evidence.
One instruction. A governed result.
From intent to durable business fact — in one governed chain.
Natural-language instruction to a compatible agent
Reads the ORYH skill from the approved bundle
Identity · Scope · Policy · Record state
Complete read-back for human confirmation
Durable record · State transition · Audit evidence
Agent choice
One company. Many AI agents. One governed record.
Bring the compatible, company-permitted agent your team already uses. The agent supplies intelligence and interaction; ORYH supplies company-approved skills, identity, authorization, records, workflow state, approval, and audit. Switch the agent — the company's facts remain.
Select agent runtime
ORYH record — unchanged regardless of agent
- record_id
- TS-2026-00421
- actor
- Codex → priya.sharma@company.com
- permission
- timesheet.submit ✓
- state
- submitted → pending_approval
- confirmed_by
- priya.sharma — explicit
- audit_id
- AUD-8f3a21bc
The agent changed. The record ID, permission check, and audit trail did not.
The commercial argument
Traditional SaaS gives every business function another application. ORYH gives agents governed capabilities.
SaaSEmployee at a product-specific screen
ORYHAuthorized AI agent acting for the person
SaaSNavigate, enter, reconcile, move context
ORYHState intent through the agent already in use
SaaSUsually tied to the SaaS vendor's assistant
ORYHMultiple compatible runtimes; the matrix decides which
SaaSDeploy another application or module
ORYHAdd a governed record type, workflow, or skill
Across company operations
One model. Applied across every domain your agents work in.
Sales & Quotations
Governed quotations, approval routing, revision control, and customer outcomes.
People Operations
Onboarding, timesheets, leave, employee records, and approvals.
Procurement
Vendor records, purchase requests, evidence, and supplier orders.
Customer Operations
Service requests, escalations, renewals, and decision records.
Finance Operations
Expenses, receipts, duplicate checks, and controlled handoffs.
Project & Delivery
Project records, milestones, fulfilment, and resource coordination.
Flexible intelligence. Strict facts.
Agents may reason flexibly. They cannot write beyond their authority.
Scoped authority
Every action is evaluated against the connected user's live company permissions. Possessing a skill never bypasses authorization.
Deterministic records
Schema validation, legal state transitions, and idempotent writes ensure every accepted action produces the expected business fact.
Complete audit
Actor, action, business fact, and audit evidence are committed together. Workflow history is reconstructable from company records — never from an agent conversation.
Logic you can rewrite in a sentence
Because that boundary holds, the layer above it can be prose. Skills, approval routing and lifecycle vocabulary are natural-language text your workspace owns — “we do it differently here” is a message to an agent, effective immediately, not a customisation project with a release window.
Start with one workflow
Build the first governed workflow your team runs through the agents it already uses.
Best-fit companies have 20–200 employees, active weekly agent use, an executive sponsor, and a real workflow that can launch within 30 days.
Apply for an enterprise pilotAssess your agent landscape, sponsor, and first workflow.
Skills, records, permissions, approval, and audit for your selected workflow.
Run with a real team, measure adoption, and select the second workflow.