Worley Consulting and Bloomfire Partner to Advance Enterprise Intelligence in Energy, Chemicals, and Resources Sectors
Bloomfire has announced a strategic partnership with Worley Consulting, a global consultancy serving the energy, chemicals, and resources sectors. Through this collaboration, Worley Consulting will integrate Bloomfire’s Enterprise Intelligence platform into its digital transformation offerings, delivering AI-powered knowledge infrastructure to operators worldwide.
The partnership reflects growing demand for infrastructure that goes beyond traditional knowledge management. In asset-intensive industries, fragmented systems, loss of institutional knowledge, and increasing AI adoption are placing new pressure on operational decision-making. Together, Worley Consulting and Bloomfire are working to establish a governed intelligence layer designed to support complex industrial environments.
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Enterprise Intelligence for Asset-Intensive Operations
Rather than relying on disconnected repositories or generic taxonomies, the joint approach organizes knowledge around how industrial assets function across their full lifecycle—from capital investment and construction through operations and eventual decommissioning.
“Industrial companies don’t lack data—they lack trusted knowledge that can be used when making decisions. This work sits at the core of our digital transformation practice, creating an Enterprise Intelligence layer that brings together engineering, operations, and maintenance knowledge, embedding it directly into workflows where value is created, and risk is managed.”
By aligning enterprise knowledge governance with the realities of long-lifecycle assets, the collaboration is designed to help organizations preserve institutional expertise, reduce repeat failures, and strengthen confidence in AI-driven insights.
“For organizations across industries facing similar challenges–institutional knowledge loss, AI accountability gaps, fragmented information ecosystems–this partnership demonstrates what’s possible when deep domain expertise meets modern Enterprise Intelligence infrastructure. The question is no longer if organizations need this level of knowledge governance, but how quickly they can deploy it to stay ahead.”
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Supporting Operational Excellence at Scale
The agreement moved from concept to signed contract in 75 days, signaling both market urgency and alignment between the two organizations.
“When customers see knowledge structured around how industrial assets actually operate, their immediate reaction is: ‘We need this.’ Our shared customers will now experience the same transformational benefits as Worley Consulting—from preserving institutional knowledge to de-risking operations at scale.”
For many enterprises, operational excellence initiatives are limited by inconsistent information and siloed systems. Bloomfire’s Enterprise Intelligence platform connects structured and unstructured content into a governed framework that supports continuous improvement and more reliable decision-making.
Trust and Technology
Both organizations emphasize that effective transformation requires more than technology alone.
“Partnerships require more than technology; they require trust,” said Walker. “We needed a partner who could deliver advanced AI search capabilities while understanding the security, compliance, and customization requirements of industrial assets. Bloomfire demonstrated both technical depth and partnership commitment.”
“Worley operates globally through experts in energy, chemicals, and emerging technologies, which opens up markets we couldn’t access independently. The speed from concept to contract reflects both the platform’s readiness and the strength of the relationship established through Worley’s internal deployment.”
Expanding the Enterprise Intelligence Ecosystem
Many organizations experiment with knowledge tools but struggle to deploy them effectively in industrial operations. This partnership combines Bloomfire’s AI-powered platform with Worley Consulting’s domain expertise to support knowledge continuity, operational reliability, and AI accountability in complex environments.
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