Primary growth pathway
Industrial Operations
Maintenance, field work, compliance and operational knowledge and data for asset-intensive businesses.
See how we've reduced manual work, improved operational accuracy and built secure AI capabilities across live business workflows.
Browse by business context
Primary growth pathway
Maintenance, field work, compliance and operational knowledge and data for asset-intensive businesses.
Specialist pathway
Fund operations, investor reporting, due diligence and governance for lean investment teams.
Agencies pathway
Meeting, tender, sales, delivery and back-office workflows, with recruitment as the lead agency segment.
Industrial Operations Proof
See the operational problem, what we built and the result. Each example connects to the relevant service pathway when you're ready to assess a similar workflow.
Asset Maintenance
95.5% inspection processing accuracy
Following a merger, this organisation faced significant operational integration challenges. Maintenance coordinators were spending 71-97 hours monthly processing work orders, with only 23-29% of that time on value-added activity. Processing delays of up to 2 months at some sites were creating safety and compliance exposure. And 30-40% of follow-on work orders were duplicates, cluttering the maintenance management system.
Field Services
$80,000 in annual revenue leakage identified
This landscaping and environmental services company was trapped in a "zombie middle ground" between paper and digital processes, with neither functioning effectively. Managers were spending ~80% of their capacity on data entry and paperwork rather than field leadership. Only half of job sheets were properly submitted, and materials weren't always being applied at correct rates - staff relied on "tank estimates" rather than precise data.
Construction and Field Operations
80% faster field data processing and handoff
Bridge It NZ is New Zealand's leading specialist in design-and-build precast concrete bridges. Critical knowledge and data for complex processes - from geotechnical assessment to on-site installation - was locked in the minds of key, experienced personnel, creating significant business continuity risk.
Trade Services
Six high-value workflow opportunities prioritised
Growing trade services businesses often hit a scaling wall: the sales and quoting process depends on experienced individuals who carry pricing knowledge and project scoping expertise while the supporting data and client history sit across different systems. Quotes were being prepared manually from spreadsheets and catalogues, limiting the volume the business could handle. Field observations were captured as handwritten notes requiring manual transcription. And quote quality varied significantly depending on who prepared it.
This landscaping and environmental services company was trapped in a "zombie middle ground" between paper and digital processes, with neither functioning effectively. Managers were spending ~80% of their capacity on data entry and paperwork rather than field leadership. Only half of job sheets were properly submitted, and materials weren't always being applied at correct rates - staff relied on "tank estimates" rather than precise data.
Read moreA practical framework for choosing the first AI workflow in a fund management business, with clear controls for investor reporting, knowledge and data, diligence and governance.
A practical framework for choosing the first AI workflow in a recruitment or executive search agency without automating recruiter judgement.
A practical guide for Australian manufacturing leaders choosing where to apply AI, what each use case needs and how to keep people in control of safety, quality and production decisions.
Around 95% of AI pilots never deliver measurable value, and the cause is rarely the technology. A practical guide to running a pilot that reaches production: one problem, one owner, the right metrics and a clear path from proof of concept to live operations.
A step-by-step guide to connecting Xero to Claude using MCP. Covers Xero's own MCP tools and how a hosted multi-organisation integration works for businesses running several Xero organisations.
Most teams don't need more AI tools. They need training that sticks. Here's what works when you're teaching employees to use AI, what fails, and how to structure a programme for a 20 to 200 person business.
Running multiple Xero organisations means switching between them all day. Here's how a multi-organisation MCP lets you search and work across every entity from one AI session.
Building an AI capability takes weeks. Keeping it working takes longer. Managed AI is the ongoing support that determines whether your AI investment compounds or quietly degrades.
A practical guide to AI consulting costs in Australia, available support, common engagement models and the questions to ask before choosing a provider.
A practical guide to AI consulting costs in New Zealand, the main engagement models and the questions to ask before choosing a provider.
XeroForce builds AI agents inside Xero, and launched as an invite-only alpha in May 2026. A Xero MCP lets your own AI, whether that's Claude, ChatGPT or Cursor, reach into Xero instead. Which one fits depends on how many entities you run and whether you want your finance workflows tied to a single platform.
AI advisory and AI consultancy give you a strategy. AI implementation gives you a build. AI enablement combines both with people-side change and ongoing management. The scope you choose determines whether you end up with a document or working AI.
Use the readiness assessment for a structured baseline or book a call to discuss the workflow holding your team back.