Physical entities
The things your business actually operates.
Facilities, people, vendors, devices, vehicles, products, accounts, documents, cases, alerts, payments, shipments, and locations.
Stratir ontology mapping
Physicaloperations,mapped intologic.
Stratir does not sell a fixed ontology.
We map your business ontologically.
Stratir translates the physical entities, systems, workflows, and decisions you already operate into a logical environment that people and AI can inspect, reason over, and act through.
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Data + logic + action connected to existing infrastructure
Logical environment
The representation people and AI can reason over.
Objects, properties, links, states, permissions, confidence labels, source history, and decision context.
Operational loop
The actions that turn understanding into movement.
Escalations, approvals, tasking, writebacks, reporting, enrichment, simulations, and review gates connected to existing systems.
Requirements before tools
We start with the decision, then map the business around it.
Stratir builds the operating layer between buyer requirements, scattered sources, analyst judgment, and agentic engineering. Ontological mapping is how we make that layer legible: the entities, systems, evidence, rules, owners, and actions already inside a business are connected into a model that can be inspected, tested, and used to solve hard problems.
Object grammar
The map is made of nouns, relationships, state, and action.
The useful ontology map is not a data catalog. It is a shared operating language for the business: what exists, how it relates, what changed, who can act, and what evidence supports the next move.
01
Objects
Customers, assets, selectors, alerts, shipments, accounts, employees, vendors, incidents, orders, and other operational nouns.
02
Properties
Status, owner, confidence, source, geography, risk, timestamp, criticality, lineage, and operational state.
03
Links
Owns, supplies, touches, belongs to, transacts with, reports to, depends on, resembles, triggers, and conflicts with.
04
Actions
Open case, stage decision, update system, request review, reallocate resource, notify owner, preserve source, or escalate.
Elements of a decision
Data, logic, action.
This is the center of the page: not a software claim, but a modeling discipline. The map should show the business where a decision gets its evidence, which logic shapes it, and how it becomes an action.
01
Data
The observations, records, live signals, and source material already spread across operational systems.
ERP and CRM records
IoT and edge telemetry
Documents and unstructured notes
Geospatial and case context
02
Logic
The rules, models, analyst reasoning, calculations, and business constraints that determine what a decision means.
Forecast models
Risk rules
Analyst tradecraft
Optimization and planning logic
03
Action
The governed execution layer: what gets written back, escalated, reviewed, assigned, approved, or stopped.
Case escalation
System writeback
Review gates
Operator workflows
Live ontology fabric
Entities, states, relationships, decisions
Entity
01
Logic
02
Action
03
Persistent operating context
The map should stay close to the decision without interrupting the operator.
Relationships, system state, evidence, and action paths should remain available in the background of work. An ontology map is only useful when it clarifies the decision rather than becoming another thing to manage.
Build path
Start with the hard problem, then model only what the decision needs.
Stratir keeps the map narrow enough to pilot and strong enough to expand. The first version should answer a real question, expose missing links, and prove that the logical environment improves work.
01
Scope the hard problem
Name the decision, owner, consequence, systems involved, and what a useful answer must change.
02
Inventory the operating world
Map the physical entities, business systems, source surfaces, data stores, models, and teams already in motion.
03
Define the object grammar
Choose the smallest set of objects, properties, links, states, and confidence rules that explain the workflow.
04
Bind logic to context
Attach business rules, models, calculations, and analyst methods where they can be inspected and reused.
05
Close the action loop
Connect recommendations to approvals, escalations, writebacks, tasking, and human review.
06
Pilot against reality
Run the model against live work, measure whether decisions improve, and refine the ontology map.
Where it applies
Ontological mapping works when the problem crosses teams, systems, and consequences.
Use case
01
Supply chain stress
Suppliers, plants, shipments, materials, orders, lead times, demand signals, and reallocations modeled as one operating picture.
Use case
02
Fraud and risk
Customers, accounts, devices, payments, communications, alerts, cases, and evidence connected for defensible investigation.
Use case
03
Security operations
Assets, users, events, vulnerabilities, controls, incidents, threat actors, and response tasks mapped for reviewable action.
Use case
04
Revenue operations
Accounts, contracts, pipeline, usage, support, invoices, renewals, and account risk tied to intervention logic.
Why it matters
A better map changes the quality of the decision.
No flattened table trap
The model preserves relationships between things instead of forcing every workflow into a narrow reporting schema.
AI gets context
Agents and copilots can query the same logical environment that analysts and operators use to make decisions.
Humans keep control
Confidence, permissions, provenance, and review gates stay close to every recommendation and action.
Existing systems remain
The goal is not to replace operational infrastructure. It is to make that infrastructure legible, connected, and actionable.
Ontology pilots
Bring the workflow. Stratir will map the operating reality around it.
Start with a concrete decision that is currently slowed by fragmented data, unclear ownership, missing context, or systems that do not talk to each other.
Scope an ontology mapping pilot