Maximize uptime, extend asset life, and de-risk every maintenance decision.
UniGraph · reliability agents
Live
RBI
Proposed 24 inspection interval updates
Awaiting review
RCA
Linked 3 pump failures to one root cause
Confirmed
TA
Assembled turnaround worklist, 142 items
COW
Verified isolation points for permit 8841
Confirmed
GROUNDED IN 12,480 CONNECTED ASSETS
30%+
Reduction in unplanned downtime
50%+
Faster turnaround and inspection scoping
10x
Faster access to connected asset history
25%+
Reduction in low-value preventive tasks
From fixed equipment integrity to rotating-equipment reliability, one connected foundation for the decisions that keep the plant running.
Why it matters
For asset-intensive operations, maintenance is one of the largest controllable costs and one of the highest sources of risk. The margin between a well-run reliability program and a reactive one is measured in downtime, incidents, and asset life.
Unplanned downtime
A single unplanned shutdown on a critical unit can erase a quarter of its margin. Much of it is preventable with the right intervention at the right time.
Integrity and safety
Mechanical integrity is a regulatory obligation, not a preference. A missed corrosion mechanism or an overdue inspection carries safety and compliance consequences.
Compounding backlog
Deferred maintenance does not disappear. It accrues as risk, becomes the next failure, and quietly inflates the scope of every future turnaround.
Expertise retiring
Decades of failure knowledge live in the heads of a few senior engineers. As they retire, that judgment leaves with them unless it is captured in the data.
The problem
Reliability and maintenance teams spend the majority of their time locating, reconciling, and second-guessing data instead of preventing failure. The problem is not a single dirty table. It shows up in five distinct ways.
01
Data is fragmented
Failure history sits in the CMMS, condition data in a historian, connectivity in P&IDs, specifications in datasheets, and procedures in OEM manuals. Answering one reliability question means cross-referencing five systems by hand.
02
Strategy is static
RCM studies and preventive plans are built once, then rarely revisited. Intervals drift out of step with how equipment actually behaves, leaving redundant tasks in place and real risks uncovered.
03
Analysis is manual
RBI, root-cause analysis, and corrosion-loop mapping are run in spreadsheets, dependent on the analyst who built them. The work is slow, hard to audit, and difficult to repeat consistently across sites.
04
Knowledge walks out the door
The reasoning behind why an asset fails and how it was fixed lives in tribal memory. When experienced engineers leave, the plant loses context that no CMMS field ever recorded.
05
Culture stays reactive
With data this hard to trust, teams default to firefighting. Effort goes to the failure in front of them rather than the pattern that would prevent the next ten.
The Plant360 approach
One connected foundation, from documents to working agents.
The same four-layer pipeline that runs the platform is what makes reliability automation trustworthy. Each layer produces the structured, verified context the next one depends on.
01
Digitize
Convert
Turn P&IDs, datasheets, and inspection records, including legacy scanned PDFs, into structured, audit-ready data.
02
Structure
UniGraph
Link every asset, tag, document, and failure record into one live graph, resolving duplicates and staying in sync as the plant changes.
03
Build
AI360
Deploy reliability agents on your own graph in days, grounded in verified data, with pre-built integrations to the systems you already run.
04
Apply
Reliability agents
Agents run real reliability work across strategy, integrity, planning, and control of work, proposing actions your engineers approve.
Human-in-the-loop by design.
AI proposes, engineers confirm, and every action is explainable and auditable. Nothing is committed to your systems of record without review.
What agents automate
Reliability and maintenance is far more than a CMMS. So is the automation.
Once your plant is a connected graph, a wide range of document-heavy and analysis-heavy reliability tasks become work for agents. Each one grounds its recommendations in verified data, proposes work for engineers to approve, and reports an outcome you can hold it to.
Mechanical integrity & inspection
RBI Agent
Assembles damage mechanisms, materials, and process conditions per asset, then proposes risk rankings and inspection intervals for review.
Corrosion-Loop Agent
Groups equipment into corrosion loops and integrity operating windows from connected process and materials data.
Inspection-Planning Agent
Builds and sequences inspection workscopes and flags overdue or deferred items against due dates.
80% less time assembling evidence
Turnaround & shutdown scope
Turnaround-Scope Agent
Assembles a candidate worklist from integrity findings, deferred work, and failure history, with the evidence that justifies each item.
Scope-Challenge Agent
Tests each item against risk and cost, flagging low-value scope for challenge before it is committed.
Readiness Agent
Confirms drawings, permits, isolations, and spares are in place before the execution window opens.
50%+ faster scope build
Planning, scheduling & spares
Work-Order Agent
Enriches work orders with the right drawings, specs, and equipment history so crews arrive prepared, not searching.
Job-Plan Agent
Drafts job plans and task steps from equipment type, failure mode, and prior successful work.
Spares & BOM Agent
Links equipment to verified bills of material and flags criticality-based stocking gaps and obsolescence.
Fewer delayed and re-planned jobs
Control of work & isolation
Isolation-Planning Agent
Derives isolation points and line-ups from the live asset graph so lockout boundaries reflect the plant as it is.
Permit-to-Work Agent
Grounds permits in verified equipment state and connectivity, reducing errors and rework before work begins.
Conflict-Check Agent
Surfaces simultaneous-operations and isolation conflicts across concurrent permits on the same system.
Fewer permit errors, safer work
Failure & root-cause analysis
RCA Agent
Connects failure history, drawings, and datasheets to accelerate structured root-cause analysis on the graph.
Bad-Actor Agent
Ranks chronic failures by downtime and cost so effort targets the assets that drive the losses.
Failure-Pattern Agent
Detects recurring patterns across similar equipment to prevent the next failure, not just repair the last.
Faster, repeatable RCA
Reliability strategy & knowledge
RCM & Criticality Agent
Drafts and maintains criticality rankings and RCM logic against live asset behavior instead of a one-time study.
PM-Optimization Agent
Reviews the preventive program to remove redundant tasks and close gaps where risk is uncovered.
Reliability Co-Pilot
Answers equipment questions from verified plant data, capturing expert knowledge before it retires.
Strategy that stays current
In practice
The Turnaround-Scope Agent, end to end.
Building a turnaround scope normally takes weeks of cross-referencing. Grounded in the asset graph, the agent does the assembly and the engineer stays in control of every decision.
01
Agent assembles the candidate worklist
It pulls integrity findings, deferred work orders, and failure history for the unit, attaching the evidence and drawings behind each proposed item.
02
Engineer reviews and challenges scope
Each item is ranked by risk and cost. The engineer accepts, defers, or rejects, and the reasoning is captured for audit.
03
Approved scope flows to execution
The confirmed worklist, with drawings, permits, and spares checked, is ready for planning, with no parallel spreadsheet to reconcile.
Scope built in days, not weeks.
Engineers enter the turnaround with a defensible, evidence-backed worklist and fewer discovery items during execution.
One graph, every consumer
The same asset graph that assembled this scope feeds RBI, RCA, and control-of-work agents, so every team works from the same verified picture of the plant.
Outcomes
Measurable results, not promises
Representative outcomes from grounding reliability work in a connected asset graph. Figures are directional and vary by plant, data maturity, and scope.
30%+
Reduction in unplanned downtime
50%+
Faster turnaround and inspection scoping
10x
Faster retrieval of connected asset history
25%+
Reduction in low-value preventive tasks
A reliability team could not trust its CMMS: thousands of duplicate and mislabeled tags made every analysis suspect. After unifying records, drawings, and datasheets into one asset graph, duplicates were resolved and history was connected to each asset. Engineers scoped inspection circuits in hours instead of days and entered the next turnaround with data they trusted.
Built for production
Human-in-the-loop
Agents propose; engineers approve. Nothing reaches your systems of record without review.
Explainable & auditable
Every recommendation traces back to the graph data and evidence it was drawn from.
Standards-aligned
Supports RBI and reliability practice consistent with API 580 and 581, ISO 14224, and PSM mechanical integrity.
Enterprise security
ISO 27001 certified, with single sign-on and fine-grained access control your security team requires.
Integrations
Your CMMS, EAM, and historian are inputs, not the platform.
Plant360 ingests from the systems you already run and pushes structured data back out through an open API. You own the data layer, with no proprietary lock-in to any single vendor.
SAP PM
IBM Maximo
OSIsoft PI historian
Hexagon SmartPlant
AVEVA
Autodesk
DEXPI · ISO 15926
Open API · your data
FAQ
How does AI improve reliability-centered maintenance?
AI helps only when it runs on clean, connected data. Plant360 grounds reliability agents in a unified asset graph, so they surface failure patterns, data gaps, and risk from verified information, with human-in-the-loop review on every recommendation.
Is this only about cleaning up CMMS data?
No. Clean, connected data is the foundation, but the automation spans RBI and corrosion-loop support, root-cause analysis, turnaround scope, planning and spares, and control of work. Reliability is a full workflow, and agents assist across all of it.
Can agents support RBI and corrosion-loop analysis?
Yes. Once assets are grouped into corrosion loops and inspection circuits on connected data, agents propose risk rankings, inspection intervals, and failure patterns for RBI and RCM, with reasoning that traces back to the source evidence.
Does this replace our CMMS or EAM?
No. Plant360 unifies data from the CMMS and EAM you already run through an open API and layers a connected graph on top, keeping those systems as inputs and systems of record.
How does connected data help turnarounds?
When asset history, drawings, and datasheets are linked and trustworthy, scope assembly, corrosion-loop analysis, and permit-to-work move faster and with less risk, because the information is ready before planning starts.
