Nuclear energy
AI automation for the nuclear energy industry
We build AI automation for the nuclear energy industry: utilities that operate plants, companies in the nuclear supply chain, and the engineering firms that support them. The work focuses on the document-heavy processes around procurement, supplier qualification, the corrective action program, outage planning and document control, designed to fit your QA program and change control instead of working around them.
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Quick answer
How can AI automation help a nuclear energy company?
AI automation helps nuclear energy companies by reading supplier qualification files, pre-screening condition reports for the corrective action program, reconciling outage scope against Primavera P6, and routing procedure revisions in document control. It drafts and flags while qualified people approve, so the work fits Appendix B and NQA-1 quality programs and existing change control.
- Supplier qualification tracking and approved supplier list updates are a common first project
- AI agents pre-screen condition reports, but the screening committee still makes every decision
- Integrations stay on the business network, with no connection to plant digital assets
- Your QA organization decides which software quality controls apply, and we document to support it
01
Where nuclear teams lose engineering and procurement hours
Nuclear organizations run on controlled documents and traceable decisions. That discipline is the point, but much of the effort behind it is people reading, comparing and retyping information between systems that do not talk to each other.
These are the workflows that come up most often when we talk with procurement, licensing, outage and records teams:
- Supplier qualification files: audit reports, NUPIC joint audit results, survey checklists and approved supplier list updates
- Purchase requisitions that need the right quality level, technical and quality requirements, and 10 CFR Part 21 clauses attached
- Commercial grade dedication packages assembled from catalog data, critical characteristics and test results
- Condition reports in the corrective action program waiting for screening, coding and trend review
- Outage scope lists reconciled across work orders, Primavera P6 schedules and contractor rosters
- Procedure and drawing revisions routed for review, with document control indexes updated by hand
02
Nuclear procurement and supplier qualification automation
Supplier qualification is where we most often start. An AI-assisted workflow can collect supplier documents, extract scope, audit dates, findings and expiry dates, and draft updates to the approved supplier list for a QA reviewer to accept or reject. Expiring qualifications and open audit findings show up on a dashboard well before a requisition is blocked.
Supplier research is a related job. One of our case studies is a European procurement firm working on nuclear infrastructure that saved about 30 hours a month with a supplier intelligence tool that gathers and summarizes information on potential suppliers. The same pattern helps buyers find and compare second sources for obsolete parts before a formal qualification begins.
WHAT WE BUILD
What we automate for nuclear energy
Typical automations, each scoped and quoted at a fixed price after a free review.
Supplier qualification tracker
Audit reports, NUPIC results and supplier documents are read for scope, findings and expiry dates, and draft approved supplier list updates go to QA for approval.
Requisition requirements check
New purchase requisitions in SAP or Asset Suite are checked for quality level, technical requirements and Part 21 clauses, with gaps flagged to the buyer.
Supplier intelligence research
An AI agent gathers public information on candidate suppliers for obsolete or hard-to-source parts and summarizes capabilities and nuclear experience for buyers.
Condition report pre-screening
New condition reports are read, matched to similar past reports and given suggested significance and cause codes for the screening committee to confirm.
Outage scope reconciliation
Work orders, the Primavera P6 outage schedule and parts reservations are compared nightly, and items missing parts, clearances or approvals are listed for planners.
Document control routing
Revised procedures and drawings are checked for affected documents and outdated references, then routed for review with the document index updated.
Program health dashboards
CAP backlog, supplier qualification status and outage readiness are refreshed into Power BI with role-based access for managers and oversight groups.
03
AI agents for corrective action programs and outage planning
In the corrective action program, an AI agent can read a new condition report, suggest a significance level and cause codes, link it to similar past reports, and propose an owning department. The screening committee still makes the decision. The agent saves the prep time and gives trend reviews more consistent coding.
For refueling outages, agents can compare the planned scope in your work management system with the P6 schedule, flag work orders missing parts, clearances or model work orders, and summarize daily outage status from the schedule and shift logs. Document control teams use similar agents to check that revised procedures reference current drawings and that every affected document has been routed.
04
Nuclear systems we connect
Plants and suppliers run a mix of enterprise systems, and we build around the ones you already have. Common examples are Hitachi Energy Asset Suite and IBM Maximo for work management, SAP S/4HANA or Oracle EBS for procurement and finance, Primavera P6 for outage schedules, and OpenText Documentum or Bentley AssetWise for document and configuration management.
Process data from AVEVA PI can feed reporting where the use case justifies it. Around these we connect SharePoint, Outlook, ServiceNow and Power BI. Integrations use the APIs and data exports your IT team already supports, with SSO, role-based access and audit trails, and everything goes through your vendor security review before it touches production data.
05
Working within Appendix B, NQA-1 and NRC expectations
Quality programs under 10 CFR 50 Appendix B and ASME NQA-1 shape how any new tool is introduced. Most of what we build sits outside safety-related decision making: it prepares, sorts and drafts, and a qualified person approves. Your QA organization decides whether a tool needs software quality assurance controls, and we provide the documentation, test evidence and change records to support that decision.
We also respect boundaries around plant cyber security programs under 10 CFR 73.54 and export control rules such as 10 CFR Part 810. In practice that means business network data only, no connection to plant digital assets, and AI services approved by your IT and security teams. This describes our approach and is not legal or compliance advice. We do not claim any certification on your behalf.
06
How a nuclear automation project works
We start with a free review with the people who own the process, such as a procurement manager, a CAP coordinator or an outage manager. We look at the actual screens, reports and spreadsheets, confirm which systems expose data, and identify the controls your QA and IT teams will expect. You then get a fixed-price scope.
Delivery is staged. The first stage usually runs in parallel with the manual process so reviewers can compare results before anyone relies on it. Each stage ends with documentation that fits your change control process. You own the accounts, workflows and code.
07
What nuclear automation costs
Every project is quoted at a fixed price after the free review. A single workflow, such as supplier qualification tracking or condition report pre-screening, typically takes 2 to 4 weeks. A broader program covering procurement, CAP and outage reporting typically takes 6 to 8 weeks per stage.
The main cost drivers are integration access, the security review timeline and the level of validation documentation your QA program requires. We will say so if an existing module in your work management system already covers the need.
TOOLS
Tools we connect
FAQ
AI automation for Nuclear Energy questions
How is AI used in the nuclear industry?
On the business side, AI is mostly used to read and organize documents: supplier files, condition reports, procedures and outage scope. It drafts and flags, and qualified people make the decisions. It does not belong in plant control systems.
Can AI automation work under 10 CFR 50 Appendix B and NQA-1?
It can, when the tool is scoped carefully and your QA organization decides which controls apply. Most tools we build prepare information for a qualified reviewer rather than make quality decisions. We supply documentation and test evidence to support your software QA process.
Can you automate supplier qualification for nuclear suppliers?
Yes. Supplier documents and audit results can be read and summarized, expiry dates tracked, and approved supplier list updates drafted for QA approval. The approved list itself stays in your system of record.
Do you connect to IBM Maximo, Asset Suite or SAP?
Yes, through the APIs, integration frameworks or data exports your IT team supports. We confirm access, environments and security requirements during the free review before quoting.
Is our data sent to public AI models?
No. We use enterprise AI services approved by your IT and security teams, such as Azure OpenAI in your own tenant, that do not train on your data. Export-controlled or security-related information can be excluded entirely.
How long does a nuclear automation project take?
A single workflow typically takes 2 to 4 weeks, plus your security review. Larger programs are delivered in stages of up to 8 weeks each, at a fixed price agreed after the free review.
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Tell us what you want automated
Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
- Free 30-minute automation review
- Fixed quote before any work starts
- You own every workflow, account and line of code