Platform · Causal Resolution Orchestration
Turn root cause into resolution.
Causal Resolution Orchestration turns causal findings into coordinated execution - approvals, work orders, and field service - through one connected operational workflow.
Why it matters
Where CRO earns its keep.
The value of root cause analysis is realized only when the right action happens at the right time. But engineers lose hours coordinating approvals, updating service systems, creating work orders, and managing field execution across disconnected tools.
Causal Resolution Orchestration turns causal intelligence into coordinated execution - orchestrating AI recommendations, engineer collaboration, enterprise workflows, and AI-powered Field Service Management through one connected workflow.
Core capabilities
What Causal Resolution Orchestration does.
Causal findings, routed into coordinated execution - on your stack or on ThirdAI's.
AI Workflow Orchestration
Route each confirmed root cause straight into the right approvals and work orders.
Engineer Collaboration
Keep engineers in the loop with shared context and one-click sign-off.
Enterprise Integrations
SAP FSM, Jira, Dynamics 365, Salesforce, and ServiceNow - without rip-and-replace.
AI Field Service Management
Dispatch, track, and close field work on ThirdAI's built-in FSM.
Deployment
CRO adapts to the way your organization operates.
Option A
Connect to your existing ecosystem
Integrate with SAP FSM, Jira, Dynamics 365, Salesforce, and ServiceNow - without replacing your system of record.
Option B
Deploy with ThirdAI
Use ThirdAI's built-in AI-powered Field Service Management on the same orchestration engine.
Under both deployment models, CRO uses the same causal engine, knowledge graph, AI agents, and FRACAS workflow to coordinate every operational resolution.
From confirmed cause to closed ticket.
Representative time from confirmed root cause to engineer-approved fix.
Representative reduction in manual approval and work-order handling.
Approvals, work orders, and field service in one orchestrated flow.
Figures are representative of early deployments and finalize per customer engagement.
One shared core
Every resolution makes the next one faster.
Each resolution - the approvals it routed, the work order it opened, the fix the field team closed - is written back into the shared knowledge graph, where every other module draws on it. Operational know-how that once lived across disconnected tools becomes an asset the whole organization owns.
See the whole platformIn the field
“The root cause used to sit in a report waiting for someone to act. Now the work order is drafted and the engineer is already approving it.”
The rest of the platform
Three more modules on the same engine.
Security
Your data, your control.
We safeguard your information with advanced security protocols and strict compliance standards. Deploy in your VPC or fully on-prem / air-gapped - your data never leaves your environment.
SOC 2 Type IIAudited security controls
ISO 27001Information security management
CCPAData privacy complianceFAQ
Questions from the fab floor.
How is Causal Intelligence different from correlation-based analytics?
It models cause and effect across your operational knowledge graph, so you get the true driver with the evidence behind it - not just a correlated signal that leaves engineers guessing.
How long does a pilot take?
A typical pilot runs 60-90 days on your own operational data, with measurable impact on RCA cycle time by the end of the engagement.
Where does our data live?
Deploy in your VPC or fully on-prem / air-gapped - data never leaves your environment. We hold SOC 2 Type II, ISO 27001, and CCPA.
Which systems does it connect to?
MES, SPC/FDC, historians, EDA & yield, PLM, CMMS, and ticketing - all feed the CIP Core evidence layer through standard connectors.
Do we need a data-science team to run it?
No. Enterprise MLOps governs fab-specific models for you, so engineers work inside the resolution workflow instead of notebooks.
Turn root causes into resolved tickets.
Start with a 60-90 day pilot on one workflow and one service system, with a clear cycle-time metric. See Causal Resolution Orchestration route a real root cause to a closed ticket on your own stack.
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