Case studies.

Results across sectors

Each case study shows baseline metrics, the systems we designed and what changed after go-live.

Filter by sector or solution to find what is closest to your context.

Dedun VendingGood ThingsASK Carpentry and ConstructionKingRail

Smart Vending Operations

Dedun Vending case study

Client

Dedun Vending

Sector

Retail / Automated vending

Team size

12 staff across 3 regions

Situation

Dedun Vending operated over 200 machines across multiple locations but relied on manual stock checks and reactive maintenance. Route drivers made unnecessary visits to full machines while empty ones sat idle, costing fuel, labour, and lost sales. There was no centralised view of machine health or inventory levels.

Solution

Deployed an AI-driven operations system including:

  • Real-time inventory monitoring with automated low-stock alerts
  • Predictive route optimisation to reduce unnecessary service visits
  • Centralised dashboard showing machine health, sales velocity, and restock priorities
  • Automated reporting for revenue per location and product performance

Results (after 3 months)

30%

Reduction in service visits

22%

Increase in per-machine revenue

15 hrs

Admin time saved per week

Stack

Custom IoT integrationOpenAI GPT-4Google Sheets syncCustom dashboardsRoute optimisation engine

Bar and Venue Hire

Good Things case study

Client

Good Things

Sector

Hospitality / Night life

Team size

16 staff, 1 locations

Situation

Good Things was managing high-volume venue hire enquiries, staff rostering, and event logistics entirely through manual processes. Enquiries came in across email, phone, and Instagram DMs with no central system to track status. Staff schedules were built in spreadsheets, shift swaps were handled via group chats, and event setup checklists existed only in people's heads. Management had no live view of bookings, capacity utilisation, or labour costs.

Solution

Deployed an internal operations automation system covering enquiries, rostering, and event management:

  • Centralised enquiry pipeline with automated intake from email and Instagram, status tracking, and follow-up reminders
  • AI-assisted rostering engine that generates weekly staff schedules based on confirmed bookings, availability, and labour budget targets
  • Digital event runsheet system replacing paper checklists, with automated task assignments sent to relevant staff before each event
  • Live operations dashboard showing confirmed bookings, venue capacity by date, outstanding enquiries, and projected weekly labour costs

Results (after 2 months)

65%

Faster enquiry response time

12 hrs

Rostering time saved per week

Zero

Missed event setup tasks since go-live

Stack

Make (Integromat)Anthropic ClaudeAirtableGoogle WorkspaceCustom dashboards

Trade Business Operations

ASK Carpentry and Construction case study

Client

ASK Carpentry and Construction

Sector

Construction / Carpentry

Team size

8 staff, residential and commercial projects

Situation

ASK Carpentry and Construction was growing quickly but struggling to keep pace operationally. New job enquiries were tracked in a mix of text messages and a shared notes app, quoting was done manually from memory with no consistent template, and follow-ups often fell through the cracks. Scheduling was done by phone call, staff didn't always know which site to attend the following day, and the director was spending several hours each week chasing outstanding invoices. There was no centralised view of pipeline, active jobs, or cash flow.

Solution

Implemented an end-to-end job and operations management system:

  • Centralised job pipeline capturing enquiries from phone, email, and website, with automated status tracking from lead to completed job
  • Standardised quoting workflow with AI-assisted scope descriptions and automatic follow-up reminders sent at 3 and 7 days post-quote
  • Daily automated schedule summaries sent to each staff member the evening before, pulling from the confirmed job calendar
  • Automated invoice generation on job completion with payment reminder sequences reducing outstanding debtor days

Results (after 3 months)

40%

Reduction in outstanding invoices

8 hrs

Director admin time saved per week

3x

Faster quote turnaround

Stack

Make (Integromat)Anthropic ClaudeAirtableXero integrationGoogle Workspace

Infrastructure Operations

KingRail case study

Client

KingRail

Sector

Infrastructure / Rail services

Team size

45 staff, multi-site operations

Situation

KingRail managed complex project timelines across multiple work sites with spreadsheets and manual status updates. Project managers spent hours compiling weekly reports, compliance documentation was scattered, and schedule overruns were common due to poor visibility into resource allocation.

Solution

Deployed project intelligence and compliance automation:

  • Centralised project dashboard with real-time status tracking across all sites
  • Automated compliance document generation and audit trail management
  • Resource allocation optimisation with AI-driven scheduling recommendations
  • Automated weekly stakeholder reporting pulled from live project data

Results (after 4 months)

40%

Reduction in reporting overhead

18%

Improvement in on-time delivery

30 hrs

Admin time saved per week

Stack

Microsoft 365 integrationOpenAI GPT-4Power BICustom workflow engineSharePoint automation