Independent Owner-side Governance Assured
Tacmin.ai - Digital Governance & Assurance
Digital asset performance
Digital asset performance
Turning raw equipment data into decisions that protect uptime, cost, and safety
Tacmin.ai gives you a single, live view of fleet and plant condition by unifying diagnostics, telemetry, utilisation behaviour, and maintenance history into one trusted performance picture. With every asset’s true state visible, issues surface early, failure modes become predictable, and operational blind spots disappear. Leaders gain the confidence to act on defensible evidence rather than fragmented reports, allowing equipment to run longer, safer, and with more consistent output. The result is stronger reliability, tighter cost control, and a level of operational predictability that keeps production steady and decision making clear across every shift.
OUR FOCUS AREAS
Condition Intelligence
Utilisation Efficiency
Maintenance Precision
Reliability Assurance
Condition Intelligence
Condition Intelligence
From reactive repairs to predictably smooth operations
Why it matters | When equipment health is understood only through breakdowns, manual checks or delayed reports, operations drift into firefighting. Hidden deterioration accelerates, component life shortens, maintenance becomes reactive, and production reliability weakens. Without real visibility into how the fleet behaves shift-to-shift, costs rise and planning loses certainty. |
Our focus | We convert raw telemetry, diagnostics, fault codes, lube trends, thermal behaviour, utilisation patterns, and operator influence into a unified, intelligent view of asset condition. By analysing behaviour rather than single events, we surface early-stage defects, isolate recurring root causes, and reveal the true factors driving equipment instability. |
Outcome | A predictable, stable fleet with fewer surprises, extended component life, and maintenance strategies built on evidence rather than assumption. Every shift becomes more reliable, planning aligns with reality, and operations gain the confidence that only genuine condition intelligence can deliver. |
Utilisation Efficiency
Utilisation Efficiency
Every unit working the way the plan intended
Why it matters | Underperformance is rarely a mechanical problem — it’s usually a utilisation problem. When assets run outside their intended duty cycles, sit idle in queues, operate under inconsistent loading, or respond to variable operator behaviour, efficiency erodes. Production targets slip, fuel and maintenance costs rise, and equipment appears “tired” when it’s simply being used incorrectly. |
Our focus | We analyse real utilisation behaviour: cycle times, loading patterns, interaction across the production chain, operator influence, idle peaks, misallocation hotspots, and the alignment between fleet deployment and the mine plan. By exposing where the fleet is over-worked, under-worked, stalled or mismatched, we restore operational discipline to how each unit is used. |
Outcome | A fleet that runs as the plan intended — with stable cycle performance, higher utilisation, fewer hidden losses, and throughput that reflects the operation’s true capability. Efficiency stops leaking through behaviour and starts compounding through consistency. |
Maintenance Precision
Maintenance Precision
Maintenance decisions backed by evidence, not assumptions
Why it matters | Maintenance loses value when timing is driven by habit, caution, or outdated assumptions. Servicing too early wastes resources; servicing too late drives failures, unplanned downtime, and spiralling component costs. Without a precise understanding of how components actually behave, maintenance becomes reactive and expensive. |
Our focus | We unify maintenance history, component life curves, degradation behaviour, failure patterns, and real-time diagnostics into one evidence-based decision layer. This reveals true wear progression, optimal intervention points, and the real risks behind each interval. Planners and maintainers gain clear justification for timing, scope, and priority — all aligned to operational demand. |
Outcome | Lower cost per hour, longer component life, and a maintenance strategy built on data rather than routine. Interventions become timely, predictable, and defensible, keeping equipment safe without overservicing or unnecessary spend. |
Reliability Assurance
Reliability Assurance
Independent verification that assets are delivering the performance the business is paying for
Why it matters | Many operations assume their fleet is performing to expectation, even when hidden delays, operator variability, and unverified downtime classifications quietly erode reliability. Without independent validation, performance gaps go unnoticed, accountability weakens, and leadership loses confidence in the true operational baseline. |
Our focus | We provide objective oversight across asset reliability, operator influence, event behaviour, delay drivers, downtime legitimacy, and recurring failure patterns. Tacmin.ai detects deviations early, verifies the root causes, and presents findings in a clear, defensible format that managers and executives can act on immediately. |
Outcome | A reliable, evidence-backed performance baseline that owners, investors, and leadership can trust — restoring confidence, strengthening accountability, and ensuring the operation performs exactly as the business is paying for. |
This capability is delivered through Tacmin.ai’s independent digital governance platform, providing owners with continuous, evidence-based oversight aligned to approved intent.