The board looks stable until one change exposes three weak assumptions.
Manual crew-fit logic often depends on memory, not a visible reasoning layer. That is manageable until urgency strips the buffer out of the day.
Helping businesses make better dispatch and workforce decisions under pressure. LiftIQ helps teams see ranked recommendations, visible hard blocks, and explainable score logic before a rushed assignment becomes a scramble.
Current stage: early product foundation. Read-heavy, write-light. No live integrations. No dispatch replacement claims.
What LiftIQ surfaces
The current LiftIQ demo shows how one overlay can rank options, hard-block missing requirements, and keep the reasoning visible when the board gets tight.
LiftIQ is being built to augment dispatchers, workforce planners, and operational leads. It is not presented as automated compliance software, mature AI, or a finished integration layer.
Late call-outs. Repeated crew assumptions. Ticket checks that happen too late. Fatigue that stays fragmented across the day. Each issue looks manageable on its own. Together they create scramble, delay, and avoidable decision noise.
Manual crew-fit logic often depends on memory, not a visible reasoning layer. That is manageable until urgency strips the buffer out of the day.
LiftIQ is being shaped to make missing mandatory requirements obvious, not easy to miss in a notes field or a hurried phone chain.
Fatigue exposure is operational, not theoretical. If the signal is unclear, the dispatcher carries the risk mentally.
The current governed demo is front-end only. It uses seeded data and rule-based logic to show how recommendation, review, and hard-block states could appear inside a serious operational workflow.
Weighted recommendation logic with an explainable score breakdown. Useful when multiple crew options look plausible at first glance.
Consistent rest and weekly-hours rules that surface monitor states and hard blocks before an unsafe option is treated as normal.
Internal module name remains ComplianceAI, but the current truthful function is simple: visibly hard-block missing required credentials.
Replacement ranking logic for last-minute change scenarios, using the same seeded recommendation layer rather than invented automation.
The current product direction is deliberate: read-heavy first, recommendation before automation, and explicit human review before any future write-back pathway is considered.
Operator records, credentials, job requirements, site constraints, fleet availability, and fatigue inputs form the base layer when those sources eventually exist.
LiftIQ applies recommendation rules and explicit gate rules. A useful option should be visible. An unsafe option should be visibly blocked.
The score breakdown stays in view so dispatch and operations leads can judge the recommendation instead of being asked to trust a black box.
Operational system access comes first if LiftIQ progresses. Any later Xero or MYOB alignment is planned phase-2 work, dependent on partner access and real field mapping.
"LiftIQ is being structured so it can later sit beside dispatch, workforce, and financial systems such as Xero and MYOB, but those pathways are planned architecture only until they are explicitly built and verified."
Planned direction only. Not currently supported.The strongest LiftIQ movement architecture right now is simple. First: a Dispatch Blind-Spot Diagnostic for operations and dispatch leaders. Second: an executive design-partner briefing for operators who want to test pilot suitability without buying hype.