AssetStack · Feature Brochure
14 pages · A4 · designed for print or PDF
A
AssetStack
The Asset Operating System
Feature Brochure · 2026
For boards, councils & infrastructure committees

One model
for every asset
that can't fail.

AssetStack unifies registers, predictions, capital plans and field execution into a single decision layer. This brochure walks you through what the platform actually does — screen by screen, feature by feature.

47
modules
6
asset surfaces
12 min
time to first insight
90 days
to verified savings
AssetStack · Feature Brochure
The Stakes
Why this matters

$2.1 billion
in deferred
maintenance.

Across regional councils and infrastructure operators, the backlog grows faster than the budget. Spreadsheets can't triage it. Inspections can't scale to it. And every year of inaction compounds the cost of failure.

82%
of failures are unpredicted today
4.3×
cost of reactive vs. predictive repair
38%
of asset records contain stale data
assetstack.ai02 / 14
AssetStack · Feature Brochure
Platform
Platform

One model. Six surfaces.

Every feature in AssetStack reads from and writes to the same canonical model. A condition finding in the field becomes a work order, a budget impact, a savings entry, and a board slide — without copy-paste.

01
Asset register
Every asset, every component, every relationship.
02
AssetMind
AI decision layer over the whole portfolio.
03
Predictions
Failure forecasts, RUL & defect cascades.
04
Maintenance
Plans, work orders, contractors, field ops.
05
Finance
Capital plans, valuation, savings ledger.
06
Digital twin
LiDAR scans, anomalies, 3D context.
One database
47 entities, fully relational. No silos.
One identity model
Multi-tenant, role-aware, audit-logged end-to-end.
One AI layer
AssetMind has full read access to every surface.
assetstack.ai03 / 14
AssetStack · Feature Brochure
Know what you own
Know what you own

The asset register, finally usable.

A hierarchical register that mirrors how your portfolio actually exists — site → building → system → component — with sensors, photos and documents attached to every node.

HierarchyUp to 6 levels, drag-to-reparent
Bulk importCSV / Excel with auto column mapping
Saved viewsPer-role, per-site, per-criticality
Audit trailEvery edit logged with actor & timestamp
Outcome
Bunbury Council ingested 4,200 assets in 12 minutes — replacing six disconnected spreadsheets.
Asset Tree · Bunbury Council
4,247 assets
South West Region
4,247
Bunbury Town Hall
312
HVAC System — Level 3
24
AHU-301 · Carrier 30RB-220
health 72
AHU-302 · Carrier 30RB-220
health 91
Chilled water pump CWP-3
health 84
Fire suppression
18
South West Library
418
Hands Oval Depot
286
4,247
assets tracked
12 min
import time
6→1
spreadsheets eliminated
assetstack.ai04 / 14
AssetStack · Feature Brochure
See it in 3D
See it in 3D

Digital twin & scan analysis.

Live scan · 4.2M pts
Bunbury Town Hall · West Wing3 anomalies detected
Crack
Beam 14-B
Critical
Corrosion
Mount 22
Moderate
Deflection
Truss 9
Critical

Upload LiDAR scans or drone photogrammetry. AssetMind detects cracks, corrosion, deflection and missing parts — then anchors each finding to a real asset in your register.

Native 3D viewer
OBJ, GLTF, point cloud, BIM
AI anomaly detection
Confidence-scored, reviewable
Photo & scan diff
Track degradation over time
Outcome
An inspection round that took six weeks now happens in an afternoon — and produces a dataset that compounds with every scan.
assetstack.ai05 / 14
AssetStack · Feature Brochure
See what's failing
See what's failing

Predict failures, weeks early.

Pump CWP-3 · Bunbury Hall
Remaining useful life forecast
Predicted failure
42 days
FAILURE THRESHOLD
64
Current health
42d
Time to failure
93%
Confidence
$48k
Avoided cost
Defect cascade · downstream impact
CWP-3 fails→AHU-301 overheat→Server room > 26°C→SLA breach

Per-asset RUL forecasts trained on your sensor data, condition reports, and manufacturer baselines. Defect cascade maps tell you what fails next — and what it costs if you wait.

RUL models
Weibull, LSTM, gradient boost — ensemble
Sensor fusion
Vibration, temperature, current, oil quality
Confidence scoring
Every prediction is explainable & verifiable
Cascade analysis
Map second-order effects of any failure
assetstack.ai06 / 14
AssetStack · Feature Brochure
Decide what to do
Decide what to do

AssetMind — your portfolio analyst, on tap.

Ask any question in plain English. AssetMind has full read access to every asset, sensor, work order, and budget line — and grounds every answer in your actual data, with sources you can click into.

“What if I defer $400k?”
Returns risk exposure, affected assets, SLA impact
“Which assets are at risk this quarter?”
Ranked list, with reasoning per asset
“Draft a board paper on backlog”
One-click, board-ready output
“Compare this year vs. last”
Auto-generated, cited, exportable
Why this matters
A manager who used to spend two days building a board update now spends ten minutes. The other one day, seven hours, fifty minutes goes back to actual work.
AssetMind
Powered by your portfolio data
Which assets should I prioritise replacing this fiscal year if my capex budget is $1.2M?

Based on your current condition data and risk scores, I'd recommend these seven assets — they account for 78% of your portfolio risk exposure and fit your $1.2M ceiling at $1.18M total:

AHU-301 · Bunbury Hall
$340k94
Pump CWP-3 · Hall West
$180k88
Transformer T-04 · Depot
$220k82
Bridge bearings · Wellington
$160k79
Lift A · Library
$140k74
Switchgear SG-2
$95k71
Boiler · Town Hall
$45k68

Sources: 4 condition reports · 12 RUL forecasts · capital plan v3 · climate risk overlay

assetstack.ai07 / 14
AssetStack · Feature Brochure
Plan capital
Plan capital

Where the money should go, by year.

Risk matrix · 84 capital items
Likelihood × consequence — bubbles sized by replacement cost
Likelihood →
1
3
6
9
2
5
8
6
1
3
5
3
1
2
1
MinorConsequence →Catastrophic
$8.4M
5-year plan
23
urgent items
$2.1M
avoidable risk

Move from a static spreadsheet to a living capital plan. Every item is linked to a real asset, a real condition score, and a real replacement cost — and reflows automatically as evidence changes.

Funding optimiser
Maximise risk reduction per dollar
Scenario modeller
Compare three futures side-by-side
Auto-prioritisation
By risk × consequence × likelihood
Board export
Capital plan as PDF, ready to present
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AssetStack · Feature Brochure
Model scenarios
Model scenarios

Three futures, side by side.

AssetStack runs full portfolio simulations against your real condition data. Boards see the cost of inaction in dollars and failures, not abstract risk scores.

Status quo

Do nothing

5-yr cost$14.2M
Risk exposure$4.8M
Failures expected47
SLA breaches12

Backlog compounds. Risk grows linearly. Eventually a major asset fails publicly.

Current trajectory

Reactive +10%

5-yr cost$11.8M
Risk exposure$2.4M
Failures expected28
SLA breaches6

Modest improvement. Spend creeps up but headline failures stay political.

Recommended

Predictive shift

5-yr cost$8.9M
Risk exposure$0.6M
Failures expected9
SLA breaches1

$5.3M saved, 80% fewer failures. Asset lifespan extended by an average of 4.2 years.

assetstack.ai09 / 14
AssetStack · Feature Brochure
Get it done
Get it done

Built for the field, not the desk.

Field crews use AssetStack offline. Inspections, photos, condition grades, and work order updates sync the moment they have signal — no paperwork, no double entry.

Offline-first
Full read/write without connectivity
AI photo grading
Snap a photo, get a condition score
Tinder inspector
Swipe through assets, grade in seconds
GPS-anchored
Every action geo-stamped & audited
Outcome
Inspection throughput up 4×. Data quality up 6×. Crews stop fighting the system and start using it.
9:41●●●●
Inspect
Pump CWP-3
Bunbury Hall · Level B
⚠ Corrosion detected
Confidence 87%
Condition grade
1
2
3
4
5
assetstack.ai10 / 14
AssetStack · Feature Brochure
Prove the value
Prove the value

A savings ledger that auditors trust.

Every saving is logged with its source action, evidence, and verification path. CFOs can audit any line back to the work order that produced it.

$2.31M
Verified savings YTD
$487k
This quarter
94%
Verification rate
12 days
Avg. time to verify
Savings Ledger · Q2 2026
6 of 142 entries
IDDescriptionCategoryValueStatus
SV-218Predictive replace · AHU-301Avoided failure$48,200Verified
SV-217Optimised PM schedule · 14 pumpsLabour saved$22,800Verified
SV-216Spare parts pooling · 3 depotsInventory$31,400Verified
SV-215Deferred replacement · Lift B (still safe)Capex deferred$140,000Verified
SV-214Contractor rate consolidationProcurement$18,600Verified
SV-213Energy tuning · HVAC zones 4-7Operational$9,400Pending
Why it matters
When the cost-saving story is line-by-line auditable, funding conversations stop being arguments and start being decisions. Finance, audit and operations finally use the same numbers.
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AssetStack · Feature Brochure
Trust
Trust

Built for procurement & audit.

Public-sector and regulated buyers run AssetStack through procurement, legal and security reviews. Here's what we hand them on day one.

ISO 27001 aligned
Controls mapped, evidence collected
Encryption everywhere
AES-256 at rest · TLS 1.3 in transit
SSO & role-based access
SAML, OIDC, granular permissions
Full audit log
Every action, every actor, every time
Data residency
Choose your region · your data stays put
Explainable AI
Every prediction shows its working
Audit log · last 6 events
Tamper-evident
09:42:17a.tan@bunbury.wa.gov.ausavings.verifySV-217ok
09:38:04systemml.predictCWP-3ok
09:31:55m.chen@bunbury.wa.gov.aucapital.approveCP-2026-Q3ok
09:22:11inspector@field.aucondition.updateAHU-301ok
09:14:09a.tan@bunbury.wa.gov.auuser.role_changej.lee → managerok
09:08:32systemscan.analyzeBTH-W3-2026Q2ok
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AssetStack · Feature Brochure
First 90 days
First 90 days

Land. See. Predict. Save.

A typical AssetStack rollout takes ninety days from kick-off to verified savings — without ripping out your existing systems.

1
Week 1

Land

  • ·Workspace provisioned, SSO connected
  • ·Asset register imported from your spreadsheets
  • ·First 3 sites live in the platform
2
Week 2-4

See

  • ·Sensor feeds & SCADA integrations connected
  • ·First scan uploaded · anomalies tagged
  • ·AssetMind trained on your portfolio
3
Week 5-8

Predict

  • ·RUL models calibrated to your equipment
  • ·Capital plan rebuilt with risk-weighted priorities
  • ·First scenario modelled for board pack
4
Week 9-12

Save

  • ·Verified savings ledger active
  • ·Field crews fully transitioned off paper
  • ·First quarterly board report exported
12 min
Time to first imported asset
7 days
Average to first verified prediction
90 days
To verified savings in your ledger
assetstack.ai13 / 14
A
AssetStack
The Asset Operating System
The ask

Give us one site
and ninety days.
We'll show you the rest.

A pilot on a single facility, fully funded by avoided maintenance in the first quarter. No long contracts. No data migration risk. If we don't prove savings, you walk.

Book a demo
assetstack.ai/demo
30 minutes · live walkthrough
Contact
hello@assetstackai.com
Response within 24 hours
Web
assetstack.ai
Case studies · pricing · security
© 2026 AssetStack · Feature Brochure · v1.0