Digital transformation programs do not stall on ambition. They stall on data.
Plant360 platform
One stack · live
04 · Apply
AI apps & agents
ChangeIQ · HAZOP · MTR · asset agents
03 · Build
AI360
Rapid industrial AI-agent platform
02 · Foundation
UniGraph
Live system of record + asset graph
01 · Convert
CAD · DWG · PDF drawings
01 · Connect
Existing records & design data
Two sources, one foundation. Data flows up
50%+
efficiency gain across engineering, operations, and safety
Days
from concept to a deployed agent, not months
80%
reduction in time engineers spend locating asset data
The problem
Industrial AI programs rarely fail at the level of strategy or the model. They fail in the gap between the two, where plant knowledge sits in scanned drawings and partially synchronized systems. Four failure modes appear in nearly every stalled program.
Pilot purgatory
01
On the ground
The initial demonstration secured approval. Eighteen months later the pilot remains a pilot, and engineers still answer asset questions from scanned PDFs.
Root cause
The pilot ran on a manually curated dataset that does not exist at plant scale. Scaling requires rebuilding that data by hand, so scale is never achieved.
What it costs
The AI budget is renewed annually. Organizational credibility is not.
The engineering data tax
02
On the ground
Senior engineers spend approximately 30% of their working day locating, validating, and reconciling asset data across CAD, EAM, CMMS, and document repositories.
Root cause
No single authoritative source exists. The drawing states one value, the CMMS another. An engineer must arbitrate each discrepancy.
What it costs
The personnel expected to lead the transformation are occupied sustaining it.
The dataset treadmill
03
On the ground
Digital twin, reliability, operator training: each new initiative rebuilds the same asset dataset from CAD, EAM, and document stores.
Root cause
Each project’s data remains siloed within its vendor’s tooling; nothing transfers to the next initiative.
What it costs
Cost and schedule reset to zero with every project. No investment compounds.
The credibility gap
04
On the ground
The board expects AI outcomes within quarters. The data-remediation roadmap is measured in years.
Root cause
A sequential operating model: remediate all data first, then apply AI. The first phase never concludes, so the second never begins.
What it costs
Executive sponsorship expires before the foundation is complete.
The diagnosis
Four symptoms, one root cause: plant knowledge resides in documents people read, not in data systems can act on.
Convert the documents into a live, connected data foundation and each failure mode above is resolved. This is precisely what Plant360 is engineered to do.
The shift
Workflow
Document-driven today
Data-driven with Plant360
Answering an asset question
Locate the drawing, then locate the individual who knows where it is filed.
Query the asset graph. 10x faster retrieval, 80% less manual searching.
Management of change
Assemble the package manually from drawings, spreadsheets, and correspondence. Weeks of preparation.
ChangeIQ assembles the impact analysis from the graph. 40%+ reduction in preparation time.
Starting a new AI use case
A new data project, with months elapsing before the first result.
A new agent on the existing graph. Deployed in days on AI360.
Keeping records current
Redlines accumulate in a backlog while the record diverges from the operating plant.
The system of record is synchronized continuously as the plant changes. No divergence.
Passing an audit
Reconstruct the change history retrospectively, drawing by drawing.
Human-verified changes with a complete audit trail, maintained from day one.
How Plant360 solves it
Each failure mode has a specific fix in the stack
Not a methodology or a consulting engagement. A platform capability that eliminates each failure mode at its source.
UniGraph · layer 02 · structure
Agents operate on a live asset graph rather than a manually assembled dataset. Scale is not a follow-on project: the context an agent requires already exists for every unit, not only the pilot’s.
10x faster engineering data retrieval
Convert · layer 01 · digitize
The drawing and datasheet backlog becomes structured, audit-ready data, verified human-in-the-loop, so engineers rely on it without revalidating every value.
70% faster digitization · 50% lower cost
One foundation · UniGraph + open API
Digital twin, reliability, operator training: every initiative draws from the same graph, synchronized with your EAM and CMMS. The dataset is built once and reused across the portfolio.
One data foundation, every use case
AI360 + production apps · layers 03-04 · build & apply
Agents are configured and deployed in days on data already digitized. ChangeIQ, HAZOP, and tag-registry agents deliver measurable results within the first quarter, while the foundation continues to expand beneath them.
Agents in days · results in the first quarter
The roadmap
Each stage delivers standalone value. Demonstrate results, then expand. No big-bang rollout, no multi-year commitment in advance.
Quarter 1 · Prove
70% faster · 50% lower cost
Quarter 2 · Connect
Unify the graph, ship first agents
First measurable results
Quarter 3+ · Compound
Each additional agent reuses the same graph and deploys faster than the last. Efficiency gains from the initial agents fund the rollout across the enterprise.
Gains fund the rollout
For your evaluation
Equivalent capabilities can be assembled from separate vendors. The integration between them cannot, and that is where the value resides.
Capability
Assembled from point tools
Plant360: one stack
Drawing & P&ID digitization
Digitization vendor. Output is files, not connected data
Convert: lossless, audit-ready Smart Drawings, even from scans
Living system of record
Manual redlining backlog. Records diverge as the plant changes
Kept continuously in sync from the same pipeline. No drift
Asset knowledge graph
Graph vendor. Disconnected from the system of record
UniGraph: record and graph produced together, always in sync
Agent build platform
Generic AI vendor. No plant context to reason over
AI360: agents built on your own asset graph, in days
Production apps: MoC, HAZOP, MTR
Custom builds, scoped and funded per project
ChangeIQ and prebuilt agents, in production use today
Integration & data ownership
Carried by your organization: multiple contracts, formats, and roadmaps to reconcile
Open API, no lock-in. You own the data layer
Vendors to manage
3-4+
One
Representative comparison. Plant360 is vendor-neutral, ingesting from and syncing with Hexagon, AVEVA, SmartPlant, DEXPI, Autodesk, SAP, and Maximo.
Outcomes
Measurable results, not promises
operational efficiency gained end to end
faster drawing digitization, at 50% lower cost
faster engineering data retrieval, 80% less manual searching
reduction in Management of Change preparation time with ChangeIQ
For the evaluation committee
Engineered for enterprise governance
ISO 27001 certified
Enterprise-grade security and governance, independently audited.
Human-in-the-loop
Engineers verify AI output, with a full audit trail on every change. Defensible for safety and compliance stakeholders.
Open API, no lock-in
Your organization owns the data layer, with full export rights. The platform conforms to your architecture strategy, not the reverse.
Vendor-neutral
Ingests from Hexagon, AVEVA, SmartPlant, Autodesk, SAP, and Maximo. Your existing tools are inputs, not the platform.
FAQ
What is industrial digital transformation?
It is the transition from document-driven plant operations to data-driven, AI-first operations. In practice: converting drawings and records into structured, connected data, then applying AI agents to production workflows so operations become measurably faster and safer.
Where should we start?
Begin with the layer of greatest operational cost. A drawing backlog indicates Convert; inconsistent EAM or CMMS data indicates UniGraph. Each layer delivers standalone value, allowing results to be demonstrated before expanding. No big-bang rollout is required.
Do we have to replace our existing systems?
No. Plant360 unifies data from the CAD, EAM, CMMS, and document systems you already operate through an open API. Existing investments remain in service; the asset graph sits above them.
