AI for energy operations where "likely" is not good enough
In a process plant, a wrong recommendation can cause a major accident. Archisus gives upstream, downstream, petrochemical, nuclear and renewable operators AI whose outputs are checked against equipment limits, procedures and regulations before anyone acts on them.
The challenge
Plenty of data, little understanding
Sensor data is abundant. Knowing what an alert means requires reasoning over equipment relationships, operating limits and regulatory constraints at the same time, across systems that do not talk to each other.
Probabilistic answers
Safety-critical decisions need deterministic, auditable reasoning, not the statistically likely answer.
Siloed systems
SCADA historians, SAP PM, Maximo and inspection records each hold part of the picture.
Regulatory load
HSE regulations, ATEX requirements, ISO standards and licence conditions all apply at once.
Use cases
Where Digital Experts help
Each use case runs on your equipment and safety ontology, with every output checked against it.
Equipment health & predictive maintenance
One query across SCADA historians, SAP PM, Maximo and inspection records without migrating data. Anomalies are judged against the equipment specification, not only statistical patterns.
Regulatory compliance tracking
Continuous checks against HSE regulations, ATEX requirements, ISO standards and operating licence conditions, with alerts when a condition is breached.
Procurement compliance
Purchase orders stopped when a supplier certificate has expired, sanctions apply or contract conditions are not met.
Incident root-cause analysis
Failure chains traced through the equipment knowledge graph, producing reports ready for audit.
Management of change
Every downstream impact of a proposed plant modification identified from the asset model before approval.
Pre-start safety review evidence
PSSR and safety-case evidence assembled automatically from the knowledge graph.
What changes
What changes for operations
- Recommendations checked against operating limits and procedures before they reach an operator
- Every decision traceable to the rule and the data behind it, ready for regulator scrutiny
- Cross-system insight in weeks, without a data-lake programme
- Permit-to-work and HSE constraints checked before an action is authorised
- Faster regulatory reporting from the live knowledge graph
- Your data stays inside your perimeter, on-premise or in your private cloud
Questions
Frequently asked questions
Does this work for nuclear sites?
Yes. Reactor physics, safety procedures and licence conditions can be encoded in the ontology, and the federated layer works within strict security protocols because operational data is queried in place rather than copied.
Do we need to move our data to a new platform?
No. The federated layer queries your existing systems where they are, such as SAP, SCADA historians, ERPs and document stores. Only query results move, inside your own perimeter, and the models run on-premise or in your private cloud.
We already use an LLM or Copilot. Does this replace it?
No. The ontology layer works with whichever language model you use. The model handles language; the ontology and reasoning engine check its outputs against your rules before they are released.
How do we start?
With the Business DNA Audit: a fixed two-week engagement that maps the rules of one domain, reports the gaps and contradictions, and gives you a draft ontology and a ranked pilot roadmap. There is no commitment beyond the audit.
The DNA Audit Is Your First Step. And Your Lowest Risk.
In two weeks we map every critical reasoning dependency, broken data link, and governance gap in your current AI or data workflow. You leave with a draft ontology model, a prioritised use case roadmap, and a clear decision on whether - and how - to proceed. No commitment beyond the audit.
Knowledge architecture map
Every logic dependency, data relationship, and constraint your AI needs to reason correctly - visualised and documented.
Gap & risk report
Broken data links, contradictory rules, and governance gaps that are invisible today - surfaced and prioritised by business impact.
Draft ontology & pilot roadmap
A working ontology model for your highest-priority domain, plus a ranked shortlist of pilot use cases with estimated ROI and delivery timeline.
Book Your DNA Audit
2-week engagement · Fixed scope · No ongoing commitment required
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