AI agents are increasingly penetrating enterprise systems, while Salesforce sits at the center of most customer workflows. Teams either wire agents to Salesforce through custom
A single unplanned failure of a primary crusher or haul truck fleet at a large open-pit mine can cost an operation anywhere from fifty thousand
Enterprise agentic AI programs are stalling at the procurement layer. Capgemini reports that only 2% of organizations have deployed AI agents at scale, and another
Enterprise operations are generating more data, more decisions, and more process complexity than human teams can manage at scale. Access to information isn’t a problem
The global fleet of autonomous haul trucks has roughly quadrupled in four years, surpassing 3,800 units across major mining operations. Rio Tinto alone runs more
Exploration geologists drill hundreds of holes before finding a single economically viable deposit, and the global average success rate for greenfield mineral exploration sits somewhere
Mining leaders face a sharper test in 2026. Critical minerals demand is climbing, ESG scrutiny is tightening, and aging fleets are pushing maintenance budgets higher.
We are shipping AI agents that touch our most sensitive systems. How do we make sure the wrong people or the wrong processes can never
Most enterprises have moved past the question of whether to use AI. The question now is whether they can trust it. An AI model that
Your organization has 12 MCP servers in production. Three teams built them independently. Auth is fragmented, and there is no central registry. Identifying every tool
The Demo Worked. Production Exposed Everything It Was Missing. Enterprise architecture leaders will recognize this recurring pattern with their agentic AI initiatives. A team builds
Your organization has a 47-page agentic AI governance policy approved by the board. Your engineering team just deployed an autonomous AI agent that books customer