Industries

The problems change by sector. The discipline doesn't.

We work where operational data is messy and the stakes of getting it wrong are real. Below is how our AI, data and application work usually lands in each of the verticals we spend the most time in.

01 · Regulated services

Healthcare & aged care

Give clinical and administrative teams one trustworthy view of the patient or resident, without adding another system to log into.

We integrate practice management, rostering and referral data, then apply automation and AI where it removes admin load rather than clinical judgement. Privacy, auditability and data residency are designed in from the first workshop.

Typical outcome: Less duplicate data entry, faster referral turnaround, cleaner compliance evidence.

Representative use cases

  • Referral intake and triage automation with audit trails
  • Consolidated patient/resident record across clinical and CRM systems
  • AI summarisation of case notes and correspondence for handover
  • Compliance and incident reporting dashboards

02 · Finance, broking & insurance

Financial services

Turn fragmented client, product and lending data into a controlled pipeline your advisers and risk team can both rely on.

We build the data foundation first — lineage, permissions and reconciliation — before layering AI-assisted review and reporting on top. Every automated decision keeps a human-readable trace for auditors.

Typical outcome: Shorter onboarding cycles, defensible reporting, fewer manual reconciliations.

Representative use cases

  • Client onboarding and KYC document workflow
  • Lead-to-settlement pipeline reporting across broking systems
  • AI-assisted document review and policy comparison
  • Retention and next-best-action scoring on the customer book

03 · Supply chain

Transport & logistics

Connect job, fleet and customer systems so operations can see what is actually happening in the network today.

Integration through Boomi and cloud data services makes movements, exceptions and costs visible in near real time. We then automate the repetitive dispatch and billing steps that soak up operational hours.

Typical outcome: Fewer status phone calls, faster invoicing, measurable on-time performance.

Representative use cases

  • Real-time job and consignment tracking portals for customers
  • Exception alerting on delays, dwell time and failed deliveries
  • Automated proof-of-delivery capture and invoicing handoff
  • Demand and capacity forecasting from historical movement data

04 · Asset-intensive services

Field service & trades

Get quoting, scheduling, assets and compliance running in one flow — from first call to invoice.

Fieldmagic and CRM platforms are configured around how your crews actually work, with mobile-first data capture and asset history that survives staff turnover.

Typical outcome: Higher first-time-fix rates, faster invoicing, cleaner compliance records.

Representative use cases

  • Asset registers with service history and testing schedules
  • Mobile job capture, forms and photo evidence offline
  • Preventative maintenance contract automation
  • Technician utilisation and first-time-fix reporting

05 · Public sector

Government & not-for-profit

Deliver citizen and member services on platforms your team can maintain, with transparency built into every step.

We work within procurement, security and accessibility expectations, favouring configuration over custom code and documenting handover so internal teams stay in control.

Typical outcome: Reduced case handling time and reporting that stands up to scrutiny.

Representative use cases

  • Grant, case and enquiry management workflows
  • Self-service portals with accessible design standards
  • Program reporting for funding and board requirements
  • Data consolidation across legacy departmental systems

06 · Industrial

Manufacturing & wholesale distribution

Join ERP, production and customer data so sales, planning and service are arguing from the same numbers.

We bridge operational systems with the customer side of the business, then apply forecasting and AI where the data quality genuinely supports it.

Typical outcome: Fewer order errors, better margin visibility, faster quoting.

Representative use cases

  • Quote-to-order integration between CRM and ERP
  • Inventory and lead-time visibility for sales teams
  • Warranty and returns case management
  • Pricing and margin analytics by customer and product line

Don't see your sector? The pattern is usually the same.

Messy data, too many systems, and a team doing by hand what software should do. Tell us what you're dealing with and we'll be straight about whether we're the right fit.

See our platforms