A AIPP

For Asset & Engineering Managers

You already know which assets scare you. Now prove it.

Your renewal program lives in a spreadsheet only you can drive, built on a register you trust about 70% of the time — and every budget cycle you rebuild it from scratch while finance asks why the numbers moved. AIPP is built for that exact Monday.

Pilot it on your roads data →See the proof points ↓

"The condition data is three surveys old for half the network, the criticality field is whatever the last graduate typed in, and the program still has to survive council questions in March. I don't need another dashboard. I need to defend line 47."

— The job, as it actually is. If this isn't your Monday, this page isn't for you.
Your world today

Ranking by engineering judgement plus a weighted spreadsheet formula nobody else can audit. When the weighting changes, the history of why is gone.

With AIPP

Per-class risk engines (LoF × CoF) score every asset 0–100; you tune the weightings yourself with sliders and watch the ranking re-order live. Every change is recorded — author, timestamp, what moved.

Your world today

Incomplete data means assets silently drop out of the analysis — usually the ones you most need to worry about.

With AIPP

Incomplete records are ingested, scored, and flagged — a data-quality score on every asset tells you which numbers to trust and which to hedge. The gaps become a worklist, not a blind spot.

Your world today

"Replace it" is the only treatment your model knows, so the program is always unaffordable and always cut arbitrarily.

With AIPP

A treatment catalogue (reseal / rehab / reconstruct, per class) lets the multi-year optimiser pick the best risk-reduction-per-dollar option — and it prices what deferral actually costs you next year.

Proof points, not promises

engines7 asset classes with real condition→risk formulas: roads, bridges, rail (TfNSW-aligned), potable water, gravity sewer, electricity, plus parks, facilities, fleet and marine models. Not one generic score stretched across everything.
iimmCondition on the IIMM 1–5 scale your auditors and IPWEA peers already speak — not an invented index.
why-this-numberEvery score opens into its factor decomposition — condition, consequence, hazard, remaining life — with the engine version and run ID pinned. Line 47 has an answer.
multi-yearBudget what-ifs and a phased program: funded vs deferred by year, cumulative risk addressed, treatment mix per year, and escalation on everything you push right.
baselinesFreeze the adopted plan. Next cycle, diff draft against adopted: what moved, what dropped, which scores changed and by how much — the answer to "what changed since last year?" in one click.
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What we won't tell you: that AIPP fixes your data. It measures it honestly, scores what's there, and turns the gaps into a prioritised worklist — the fixing is still yours. Tools that promise otherwise are lying to you.

In the demo

What you'd actually see

Bring a roads or water export — or use the built-in council portfolio (42 assets, 7 classes, engine-correct condition spreads).

10 min

Load → ranked

Your export lands, gets data-quality scored, and comes back ranked 0–100 with IIMM grades and recommended actions — while you watch.

5 min

Tune the model

Move the condition/consequence/hazard sliders. Watch rows re-rank live. That's your engineering judgement, captured and auditable.

5 min

Build the program

Set the annual budget, run the multi-year optimiser, and read the treatment mix and the cost of every deferral you're being forced into.

Two weeks. One asset class. Your data.

The pilot is founder-delivered and fixed-fee. If the ranked program and evidence pack aren't defensible, you don't pay.

Book the pilot →Read: spreadsheet → defensible