3 AI initiative profiles for INPEX across 3 departments, with evidence grades and source links. Strongest evidence: A · Operator filing — Ichthys AI tool searches operational reports and structures maintenance history.
A · Operator filing · Pilot · Reservoir engineering & field development
The stated benefit is reduced simulation time and the ability to evaluate parameters quickly; no measured speedup, accuracy figure, validation result or project result is quantified.
Source (2025-07-04)
A · Operator filing · Operating · Maintenance & reliability
INPEX reports that searches formerly taking several hours now complete in seconds to minutes; the report graphic gives “seconds to minutes.” It says AI structured approximately 110,000 maintenance records and achieved over 90% classification accuracy. No accuracy metric definition, validation sample, baseline method, error rate or time-study method is provided.
Source (2026-07-07)
C · Vendor-reported · Scaled · 1,450 paid licenses and 1,000+ agents reported; active use unspecified · IT, data & enterprise transformation
Microsoft reports 1,450 paid licenses, over 1,000 agents and 130 research requests, most completed the same day versus previously weeks. A survey found 44% perceived less task time. INPEX’s estimated annual value of over JPY2bn covers company AI use; it is not Copilot-only cash savings.
Source (2026-09-01)
Company and vendor statements are attributed, not independently validated. Evidence grades: A operator filing, B operator release, C vendor-reported, D secondary or unverified.
Later research and source checks
Supplementary notes can update existing programs or describe adjacent work. They are not extra adoption counts.
INPEX reports waste-data processing falling from 50 hours a month to about one
INPEX says AI extracts and classifies waste data from electronic manifests and invoices on a cloud platform.
Reported task time: 50 hours per month before, about one hour after.
Limits: Global rollout is prospective. Error rates, review and exception effort, costs and net return are undisclosed. General human-oversight policy does not establish this workflow’s approval process.
INPEX Digital Strategy: AI-powered waste management · Unknown
INPEX changed its core system and the processes around it
INPEX reports that SAP Cloud ERP Private began full operation in Japan in January 2026.
The release says development was shortened, without giving elapsed time or a comparison. Reporting and workload improvements are objectives; no measured savings or ROI are disclosed.
Limits: AI appears as compatibility and a future efficiency objective, not a deployed function. Users, departments, costs and approval rules are unspecified. No connection to the separate Copilot/management-meeting agents in AI-294 is established.
INPEX commences operations of SAP Cloud ERP · 2026-06-24
Employees build agents for research, rules and management meetings
INPEX uses Copilot for research and shared agents for company rules, regulatory searches and contract knowledge. A management-meeting agent checks uploaded materials and suggests questions.
Microsoft reports 1,450 paid licenses, over 1,000 agents and 130 research requests, most completed the same day versus previously weeks. A survey found 44% perceived less task time. INPEX’s estimated annual value of over JPY2bn covers company AI use; it is not Copilot-only cash savings.
Limits: Vendor story with named customer speakers. Report throughput does not establish report accuracy. License/agent counts do not measure sustained use. The company-wide value estimate may overlap other AI work, including Ichthys, and has no disclosed net-return method.
INPEX transforms business processes with Microsoft 365 Copilot and AI agents · 2026-09-01