Bring the team together.
Coordinate mining, processing, infrastructure and other workstreams. Track deliverables, schedules, actions and information requests so each consultant knows what the study needs next.
Confidential. Coordinated. Connected.
AI-Assisted Study Management
Every consultant’s input.
One coherent mining study.
We coordinate your consultants and use AI to integrate their technical reports into one continuously maintained study. AI connects the evidence, benchmarks assumptions, flags inconsistencies and brings the document and financial model together in a confidential project environment.
One integrated studyWorkflow illustration
AI does the integration. Your team retains control.
Confidentiality comes first
Your project knowledge.
Under your control.
Unpublished geology, mine plans, testwork, costs and consultant reports belong in a controlled project environment. We agree how information is hosted, processed and accessed before it enters the AI workflow.
Discuss confidential deployment01
Private processing where required
A locally deployed language model can be configured so confidential project files do not need to be processed by an external AI provider. Hosting, infrastructure and any external services are agreed for your project.
02
Agreed access and project memory
Connect permitted documents, revisions and correspondence in a private workspace, with client-controlled permissions and logs configured for the engagement.
03
Controlled sharing
Keep the working study environment alongside your existing data room. Agree which documents and outputs may be shared with consultants, directors, investors or other external parties.
From specialist input to an integrated study
AI carries out the integration.
We coordinate the delivery.
Consultants provide the specialist work. AI reads, connects, checks and drafts across those inputs. OnlyDiggers manages the workflow, follows up exceptions and brings decisions back to the project team.
Build the main document.
AI extracts and integrates consultant reports, tables and technical findings into the Scoping Study, PFS or DFS draft. It connects each material assumption to its source and revision.
Check the project basis.
AI compares assumptions across disciplines, checks data against suitable mining benchmarks and highlights contradictions, gaps and unusual values for clarification.
Keep the study current.
Bring revised technical inputs into the study and financial model. Assess sensitivities and scenarios, record outstanding decisions and prepare concise management briefings.
A step change in study quality
More than combining reports.
A study that holds together.
AI brings a broad foundation of mining knowledge across geology, mine planning, metallurgy, engineering and project economics. We combine that knowledge with your evidence, structured checks and relevant benchmarks to examine how the parts of the study fit together.
A change in throughput can affect the mine schedule, process design, infrastructure, costs and economics. The value is in checking those relationships repeatedly as the study evolves.
See the workflow on a demonstration- Check across disciplines.
Compare production schedules, plant throughput, recovery assumptions, product specifications and cost bases. Make conflicting units, currencies, dates and scenarios visible.
- Benchmark with context.
Compare technical and economic assumptions with relevant mining projects and available evidence, accounting for study stage, scale, location and process route. Flag exceptions for investigation.
- Make the evidence inspectable.
Trace material inputs and conclusions to their source reports and revisions. Record missing evidence and unresolved disagreements in action and decision registers.
- Connect the financial consequence.
Use the maintained financial model to test material technical changes and scenarios. Bring the economic effect into the study narrative and management discussion.
Better quality through a repeatable process.The improvement comes from systematic cross-discipline checking, traceable assumptions and a continuously maintained document. AI findings are checked against the underlying evidence; technical judgments and formal approvals remain with the responsible specialists.
One service. The complete integration layer.
Coordination, review
and study delivery.
Confidential project knowledge, consultant coordination, assumption checks, report integration and financial modelling sit within the same study-management service. Scope follows your study stage, programme and workstream complexity.
View Scoping Study & PFS options- Coordinate consultants, workstreams, deliverables, schedules and information requests
- Review new consultant submissions and compare revised technical reports
- Use AI to integrate consultant findings, technical tables and supporting evidence into the main study document
- Validate assumptions against available source evidence and benchmark suitable technical and economic data
- Identify cross-consultant inconsistencies, missing information, unusual values and assumptions needing clarification
- Maintain action, exception, risk and decision registers with source-to-assumption traceability
- Develop, provide and maintain the project financial model, including sensitivity and scenario analysis
- Maintain the study draft, executive summary, economics, risks and conclusions as agreed inputs change
- Prepare management and steering-committee briefings and support final document integration and publication
Clear professional responsibilities.Specialist resource estimation, mine design, engineering, testwork and Competent Person sign-off remain with appropriately qualified specialists and are engaged separately. The monthly fee covers the agreed study-management and integration scope. Private hosting, hardware and deployment requirements are confirmed before commencement.
Put your study to the test
Can your team answer these today?
Are your consultants describing the same project?
Do mine schedules, plant assumptions, infrastructure and costs share one agreed basis?
Discuss this question ↗Which assumption needs to be challenged?
Can you see the benchmark, the supporting evidence and the reason an exception was raised?
Discuss this question ↗Did the latest change reach the whole study?
Are the executive summary, technical chapters, risk discussion and financial model aligned?
Discuss this question ↗
Start with your study
Bring your consultants’ inputs.
Build one connected study.
Discuss your project stage, confidentiality requirements and current workstreams. Request a demonstration of report integration, benchmarking and the maintained study workflow.