Enterprise AI retrieves information.
MineGuard delivers outcomes.
We build specialist AI products that convert complex information into structured, auditable outputs — and integrate directly into the workflows that matter in high-risk operations.
Generic Enterprise AI
Great at summarising content and finding documents. It acts as a general assistant layer but lacks workflow discipline.
MineGuard Workflow Engine
Designed to produce complete, high-quality, regulator-ready artefacts for safety and risk work, such as:
- Incident investigation packages (evidence → timeline → causal analysis → findings → actions → learning)
- Critical control & barrier management (bowties → performance standards → verification guidance → drift detection)
- Management system assurance (clause-level checks, cross-document consistency, readability)
- Action management with closure quality (owners, due dates, evidence requirements, effectiveness checks)
- Executive assurance outputs (risk visibility, verification confidence, systemic issues, trends, “what changed and why”)
We are not a chat interface.
We are a purpose-built workflow engine for safety and operational risk.
Not retrofitted from generic AI
In high-consequence environments, it’s not enough to “have AI.” You need AI that understands the realities of complex operations.
MineGuard is designed around these realities — across heavy industry and complex operations, rather than ignoring them to provide a generic text output.
Operational time pressure
Fragmented evidence across systems
Complex procedures and standards
Role/accountability structures
Audit and regulator expectations
How control failures happen in real life
Designed for Defensibility
A useful answer is not the goal. A defensible output is.
In safety and risk, outputs must withstand scrutiny. MineGuard is designed for environments where results may be reviewed by Regulators, Inspectors, Auditors, Legal teams, Boards, and Incident review panels.
Prioritising Trust & Traceability
This is what turns AI into something organisations can trust.
- Evidence traceability: Every claim is traceable to source material.
- Citation-grade outputs: Outputs reference exact clauses and source excerpts used — not vague summaries.
- Guardrails & controlled reasoning: We avoid assumptions, identify unknowns, and force explicit confidence boundaries.
- Human-in-the-loop: AI drafts and checks. Accountable leaders approve.
- Audit logs and versioning: See what ran, who ran it, what changed, documents used, and model configuration.
Proprietary "Domain Assets"
Not just your documents in a database. When an organisation builds internal RAG, it ingests documents to query them. MineGuard adds structured reasoning rarely found in internal platforms:
1) Specialist safety/risk schemas
Structured data models for hazards, controls, barriers, failure modes, verification methods, actions, and roles. This enables automation and measurable quality — not just text retrieval.
2) Curated libraries & templates
Reusable frameworks like performance standard patterns, verification rubrics, investigation completeness logic, and control intent prompts.
3) Evaluation & benchmarking harness
Proving quality over time via output scoring, regression testing, and drift detection. The difference between "it seems good" and "we can prove it's reliable".
Continuous Assurance
Safety management systems and operational standards drift over time. Enterprise AI can search documents, but MineGuard helps you maintain system integrity.
- undefined Detect conflicts across procedures, risk assessments, and standards.
- undefined Identify outdated references and inconsistent requirements.
- undefined Highlight gaps against obligations and internal standards.
- undefined Generate change-impact action lists when rules update.
- undefined Alert when control verification quality trends downward.
Closed-loop Workflows
A major reason safety work becomes frustrating is the admin burden. MineGuard reduces manual effort by connecting the full loop: Event → Evidence → Analysis → Actions → Verification → Learning → Coaching → Assurance. You don't just generate a report — you drive improvement.
Built to integrate, not replace
MineGuard is not "another platform you must use for everything." We are designed to plug into what organisations already have:
Your enterprise AI can remain the general assistant layer. MineGuard becomes the specialist engine for safety and risk.
Security & Governance Built-in
High-risk industries have legitimate concerns about AI (data confidentiality, retention, auditability, access control). MineGuard designs deployments with these concerns in mind:
- Role-based permissions
- Controlled model configurations
- Customer-controlled environments (where required)
- Clear audit trails and governance workflows
The future differentiator is trust architecture.
Models will keep improving. Enterprise platforms will keep expanding. The differentiator will not be "who has AI."
The differentiator will be:
- Who controls execution boundaries
- Who enforces evidence discipline
- Who produces audit-grade outputs
- Who proves quality release-to-release
- Who keeps accountability with humans
- Who closes the loop from insight to action