Connecting operational data for a minerals business
A governed data foundation that turns years of operational records into decision intelligence.
All services
Enterprise AI agents for operations
Connect operational records, business rules and governed AI agents to reporting, exception review and decision preparation.
The workflow comes first.
Operational work often starts with scattered ERP exports, spreadsheets and documents. We build a governed foundation around those records, then design agents to prepare answers and next steps that your team can review.
What the engagement can cover
- Bring operational records into a validated data foundation.
- Encode stock, quality and dispatch rules explicitly.
- Prepare reporting and exceptions with supporting evidence.
- Keep permissions and human approval in the workflow.
How we deliver
We map systems and constraints, agree acceptance criteria, build in milestones, validate with real data, and plan deployment and hypercare. Your written engagement defines scope, ownership and support.
See our delivery processRelated work
Each case study identifies its delivery stage, including work that is proposed or still in delivery.
Planning private AI across manufacturing systems
A private architecture for connecting enterprise systems while keeping workloads within the manufacturer's control.
Questions about this service
Can you work with systems that have no API?
We begin by mapping the available exports, files and access methods. The integration approach depends on what the existing systems support.
Will agents make decisions without our team?
We agree the approval boundaries during scoping. Outputs can be designed as source-linked answers, recommendations or actions requiring approval.
Start with one useful workflow.
Bring us the systems, constraints and outcome you want to improve.