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AI projects and case studies.

Real projects solving real problems. Here's a sample of the AI systems we've built for Australian businesses.

app.fieldsync.ai/reports/RPT-2847
FS
FieldSync AI/ Reports / RPT-2847
● Synced
MK
Parramatta Tower B — Daily Site Report
12 Feb 2026 • Submitted by M. Kendrick, Site Supervisor
Approved
PDF
✓ Safety Check
Crew: 12 on site
Weather: 28°C Clear
Progress: 73%
Site Photos (6)View all →
Level 14 — Steel
Core — Pour complete
Safety signage ✓
AI
AI-Generated Report Summary
Auto-generated

Level 14 steel erection completed ahead of schedule. All connections torqued and inspected per AS 4100. Core concrete pour for Level 12 finished at 14:20 — 47m³ placed with no cold joints.

Safety: Zero incidents. All 12 crew completed site induction. PPE compliance at 100%. Exclusion zones maintained during crane operations on the north elevation.

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Project Progress
Structure73%
Services41%
Fitout12%
Recent Reports
RPT-2847
12 Feb
Approved
RPT-2846
11 Feb
Approved
RPT-2845
10 Feb
Flagged
RPT-2844
9 Feb
Approved
Activity
AI Summary generated for RPT-2847
M. Kendrick submitted report
Synced to Procore at 14:32
AI ToolsAutomation

FieldSync AI

Challenge

A national construction company was losing days to manual field reporting. Site supervisors were filling out paper forms, emailing photos separately, and office staff were re-entering everything into their project management system.

Solution

We built an AI-powered mobile reporting tool that lets supervisors capture data, photos, and voice notes in the field. The AI automatically structures reports, flags safety concerns, and syncs everything to their existing PM platform.

Result

Report turnaround dropped from 3 days to 20 minutes. Safety compliance documentation improved by 60%. The client estimated $200k/year in time savings across 40 sites.

legallens.internal/search
LL
LegalLens
412,847 documents indexed
What are the precedent cases for breach of fiduciary duty in property trusts?
98% matchContract Law / Trust
Barnes v Addy [1874] — Fiduciary Duty in Trust Management
94% matchProperty / Equity
Consul Development v DPC Estates [1975] — Trust Property Obligations
87% matchCorporate / Governance
Howard Smith Ltd v Ampol Petroleum [1974]
Document SearchDocument Intelligence

LegalLens

Challenge

A mid-tier law firm had 400,000+ documents spread across shared drives, legacy systems, and email archives. Finding relevant precedent meant hours of manual searching — or relying on whoever happened to remember where things were.

Solution

We built an AI-powered knowledge retrieval system that ingested their entire document library, applied intelligent chunking and indexing, and made everything searchable via natural language queries. Deployed on-premise to meet confidentiality requirements.

Result

Lawyers can now find relevant documents in seconds instead of hours. The system handles 200+ queries per day. The firm reduced research time by an estimated 40% on matters involving precedent review.

dashboard.retailpulse.com.au/overview
RP
Retail Pulse/ Overview
Live
Thu 13 Feb
JW
Today's Revenue
$47,230
↑ 12.4%vs yesterday
Transactions
834
↑ 8.2%vs yesterday
Avg Basket Size
$56.63
↑ 3.8%vs last week
Stock Alerts
7
↑ 3new today
Hourly Sales — All StoresToday vs Yesterday
Today
Yesterday
$8k$6k$4k$2k$0
6am9am12pm3pm6pm
Store PerformanceView all →
#
Store
Revenue
Txns
Δ
Trend
1
Bondi Junction
$12,450
218
+14.2%
2
Chatswood
$11,830
204
+9.7%
3
Parramatta
$10,240
189
+6.1%
4
Melbourne CBD
$9,710
163
-2.3%
AI
AI Insights
3 new
Stock reorder recommended for SKU-4421 (Organic Coffee Beans) across 3 stores. Current stock: 2-day supply.
Auto-reorder
Dismiss
Bondi Junction foot traffic +23% above forecast. Consider extending staff hours until 7pm.
Weekend promotion on dairy category projected to lift basket size by 8-12% based on last quarter's data.
Weekly Revenue Trend
$312,840
↑ 11.2%this week
MonWedFriSun
Top Categories
Fresh Produce
$13,22428%
Dairy & Chilled
$10,39122%
Beverages
$8,50118%
Bakery
$6,61214%
Inventory Alerts7 active
Organic Coffee Beans
SKU-4421
Critical
Sourdough Loaf 800g
SKU-2108
Low
Free Range Eggs 12pk
SKU-3355
Low
Almond Milk 1L
SKU-1892
Low
Live Activity
Bondi Junction — $245 sale (14 items)
AI restock triggered for SKU-4421
Chatswood — promo scan rate 34%
Parramatta — $189 sale (9 items)
Data PipelinesDashboards

Retail Pulse

Challenge

A multi-store retail group was making inventory and staffing decisions based on end-of-day reports. By the time they saw the data, the opportunity to act had already passed.

Solution

We built a real-time intelligence platform that pulls data from POS systems, inventory management, and foot traffic sensors. AI-powered dashboards surface actionable insights: stock reorder alerts, demand predictions, and staffing recommendations.

Result

The client reduced stockouts by 35% and overstock waste by 20%. Store managers now start each day with AI-generated briefings tailored to their location.

dispatch.greenroute.com.au/dashboard
GR
Green RouteDispatch
14 routes live
Wed 12 Feb
Active Drivers
14
of 16 rostered
Deliveries
127
89 completed
On-Time Rate
94.2%
↑ 15% vs manual
Fuel Saved
$847
-30% today
Sydney Metro — Live View
Routes
Traffic
Zones
D
Completed
Pending
Driver
Active Drivers
01
Marcus T.
8/12 stops • 47km • ETA 4:15pm
En route
02
Sarah L.
6/9 stops • 38km • ETA 3:45pm
En route
03
James K.
5/11 stops • 52km • ETA 5:10pm
En route
04
Priya M.
9/9 stops • 41km • ETA
Complete
AI
Route Optimisation
Fuel savings today-30% vs manual
Distance reduced-78km total
Time saved1h 47m
AutomationWorkflows

Green Route Logistics

Challenge

A last-mile delivery company was planning routes manually using spreadsheets. Drivers were given static routes that didn't account for traffic, delivery windows, or vehicle capacity — leading to wasted fuel and missed deliveries.

Solution

We built an automated dispatch system with AI-powered route optimisation. The system considers real-time traffic, delivery time windows, vehicle capacity, and driver availability to generate optimal routes daily.

Result

30% reduction in fuel costs. 15% improvement in on-time delivery rates. Dispatch planning time dropped from 2 hours to 10 minutes each morning.

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