Digital asset performance

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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.

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.

Some clients prefer to run their own digital oversight, others outsource it entirely, and many take a blended path. Tacmin.ai supports all three through a flexible managed service model. Data from the mine is securely streamed to Tacmin.ai’s Remote Operations Centre, where it is monitored, reconciled, and benchmarked in real time. Whether fully managed by our team, shared with client personnel, or set up as a pilot before transfer, this approach provides immediate access to structured digital oversight without the cost of building on-site infrastructure.

Tacmin.ai - Digital Governance & Assurance

Digital asset performance

Digital asset performance

Remote Oversight & Managed Control

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.

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.

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.