Use cases
The problems below are the ones we work on most often. They look different on the surface: different systems, different sectors, different symptoms; but the pattern is almost always the same: the evidence exists, nobody has pulled it together.
Common situations
01 · FAULT PATTERN
What you're seeing
Assets are connected and data is flowing, but operational teams cannot act on it. Dashboards are abundant; decisions are slow.
What we do about it
Map what is connected, what is trusted and what is missing. Define the operating questions, data sources and escalation routes that matter.
02 · FAULT PATTERN
What you're seeing
Missing data points, inconsistent naming, gateway errors or values that cannot be reconciled across systems.
What we do about it
Review integration design, protocol maps, data paths and polling behaviour so the estate knows which data is fit for operational decisions.
03 · FAULT PATTERN
What you're seeing
Reports, readings or exports do not reconcile with operational reality. Stakeholders disagree on which numbers to trust.
What we do about it
Trace data paths, ownership boundaries and export logic to identify quality gaps, root causes and commercial impact.
04 · FAULT PATTERN
What you're seeing
Comfort complaints, plant cycling, schedule overrides or energy use that does not match occupancy or operational intent.
What we do about it
Map control logic, setpoints, schedules and trend evidence to separate configuration issues from plant, sensor or integration problems.
05 · FAULT PATTERN
What you're seeing
PV, BESS, EV charging or grid interface data is missing, delayed, inconsistent or not trusted for reporting.
What we do about it
Check asset interfaces, metering architecture, gateway logic and reporting requirements against operational evidence.
06 · FAULT PATTERN
What you're seeing
Operational teams receive too many alerts, unclear notifications and repeated escalations with no clear owner or resolution path.
What we do about it
Classify signals by impact, evidence, actionability and ownership so teams can focus on what matters and ignore what does not.
07 · FAULT PATTERN
What you're seeing
The organisation needs to specify upgrades but current systems, integrations and data readiness are unclear.
What we do about it
Build a current-state map, gap list and acceptance criteria before scope, tender or vendor selection begins.
08 · FAULT PATTERN
What you're seeing
FM, energy and operations teams are managing too many systems with too little clarity on ownership, evidence or next steps.
What we do about it
Define the operating model, trusted sources, escalation routes and KPI pack needed for practical, confident action.
09 · FAULT PATTERN
What you're seeing
Connected sensors and IoT devices are installed but the data is missing, stale, inconsistent or simply not reaching the systems and people that need it.
What we do about it
Audit sensor connectivity, data paths, gateway configuration and integration quality to establish which readings are reliable, where the gaps sit and what needs to change before the data can support operational decisions.
If something isn't working and you can't get a straight answer, that's enough to start a conversation.
No obligation · Vendor-neutral · First conversation is about scope, not a sale
