← INDUSTRIES

MINING & ENERGY

The operation already generates the signal. The challenge is turning it into action in time.

A mine, plant or maintenance organization generates operational information continuously. Value is lost when that signal stays fragmented across reports, systems, spreadsheets, shift notes and specialist knowledge.

THE STARTING POINT

The work does not start from an AI use case. It starts where a supervisor, planner, engineer or maintainer has to gather too much information before acting.

BECOME works on that gap, with the source, the context and the decision boundary explicit.

WHERE WE SEE OPPORTUNITY

Where AI can create value.

Geology and mine-planning knowledge

Drilling and blasting information

Loading and hauling exceptions

Crusher and concentrator operations

Grinding and flotation knowledge

Maintenance and reliability

Plant shutdown preparation

Shift handover and reporting

Tailings and water information

Concentrate logistics

Contractor and service management

HSE and permit knowledge

ILLUSTRATIVE CASES

What gets built, once the operating detail is specific enough to name it.

Shift copilot.

Maintenance assistant.

Shutdown preparation agent.

Concentrator knowledge assistant.

Assisted analyst for loading and haulage delays.

WORKFLOWS WE REDESIGN

Where the work starts.

WHAT BECOME CAN DO HERE

From the opportunity to a capability the company can operate.

Shift copilot

BECOME EMBED™

Structures shift information, open issues, risks and follow-ups for the incoming team.

Maintenance assistant

Combines work orders, manuals, history and operational context to support preparation and diagnosis.

Shutdown preparation agent

Tracks dependencies, permits, contractors, critical-path items and missing information.

Concentrator knowledge assistant

Knowledge intelligence

Retrieves operating procedures, equipment information and historical knowledge with sources.

Haulage-delay analyst

Decision intelligence

Structures recurring delay reasons and helps identify patterns for operational review.

Service-contract assistant

Supports review of obligations, milestones, evidence and exceptions.

WHICH TECHNOLOGY, AND UNDER WHAT CONTROL

In safety-critical operations, AI prepares context. The person keeps the decision.

RAG over technical and operational knowledge, integration with maintenance and operational systems where appropriate, role-based access, human approval for operational actions, traceability and source citation, and evaluation against known operating scenarios.

WHAT GETS MEASURED

What we measure.

PREPARATION TIME

INFORMATION-RETRIEVAL TIME

REWORK

HANDOVER QUALITY

EXCEPTION RESOLUTION TIME

COMPLIANCE WITH PLANNED WORK

ADOPTION BY PLANNERS, OPERATORS AND MAINTAINERS

Every initiative defines its baseline and its metrics before anything is built. Client results are published only with context and authorisation.

HOW BECOME CAN START

Where to start.

CONTINUE HERE

RECOMMENDED SERVICE

BECOME DISCOVER™ — AI-Native Transformation Discovery

WHAT IS USUALLY BEHIND IT

ENABLEMENT BY AREA

THE METHOD

TECHNOLOGY

Vendor-neutral by design.

We don’t start with a model or a vendor.

We select technology based on the use case, data, risk level, architecture and your organization’s standards.

Depending on your approved environment, a solution may combine ChatGPT/OpenAI, Claude/Anthropic, Gemini/Google, Microsoft Copilot, other LLMs, APIs and enterprise tools.

Technology changes. Capability should remain.

OTHER INDUSTRIES

The question is the same. The answer changes.

Banking, insurance & fintech

Retail & consumer goods

Travel & hospitality

Explore AI for mining operations.

Show us where time is lost gathering background, preparing a shift, reviewing a shutdown or explaining a deviation.