Three businesses. Three industries. Same outcome.

Situation

A property management firm was managing two residential communities and bidding for more. The operations model — manual scheduling, email-driven maintenance requests, spreadsheet-tracked compliance — wouldn't survive scaling. Hiring a bigger ops team would erase the margin on new contracts.

What we built

A connected operations platform with AI agents handling the high-volume, low-judgment work: routing maintenance requests, drafting resident communications, generating monthly reports, and flagging compliance issues before they escalated. The leadership team kept oversight; the agents handled the throughput.

Results

• Scaled from 2 communities to 5
• 1,000+ homes under management
• Same operations team, no new hires
• Currently bidding on additional contracts with the same model

Situation

A commercial diving company runs a high-volume operation. Each job involves quoting, dispatching, certifying, invoicing, and reporting — and the volume had outgrown what spreadsheets and email could carry. The owner was the bottleneck on every job.

What we built

A single platform handling the full job lifecycle from inbound enquiry to invoice. AI agents draft quotes from job specs, generate compliance documents, and surface anomalies in completed reports before they reach the client. The owner reviews and approves; the system does the rest.

Results

• 140+ jobs a month moving through one platform
• nearly AUD $600K in annual revenue
• Run by one person on the operations side
• Owner freed from per-job firefighting

Situation

A growing education business was drowning in the same questions every week: where does my child stand on attendance, homework, and payments? Staff were spending hours a day answering emails that the underlying systems already knew the answer to.

What we built

A self-serve student and parent portal pulling attendance, homework status, and payment status into one view. AI agents handle the long tail of clarification questions and route the rest to human staff with full context attached. Two years live, still running.

Results

• 300+ students supported per year
• 'Where do I stand?' inbound dropped to near zero
• Staff time freed for actual teaching and support
• Two years in continuous operation