Here are some real examples of the work we've done. Client names are kept confidential, but the problems and solutions are genuine.
A registered training organisation needed better visibility into their student pipeline and compliance reporting. Their data was scattered across spreadsheets, emails, and a partially configured CRM.
An accounting firm managing self-managed super funds was drowning in manual document handling. Client instructions arrived via email, WhatsApp, and phone — each needing to be logged, routed, and tracked across Outlook and SharePoint.
A community group running regular events was spending hours manually processing RSVP emails — reading each reply, extracting names and dietary requirements, updating a spreadsheet, and sending confirmations. We built an AI-assisted pipeline that handles this automatically.
For clients handling sensitive data, we built a secure archiving system using local AI models (no cloud dependency), AES-256 encryption, and secure transfer protocols. Data stays on-premise and under the client's control at all times.
A family medical practice wanted to reduce the administrative burden on their staff. We conducted a discovery engagement to map their existing workflows, identify bottlenecks, and recommend targeted automations — starting with appointment-related communications and document handling.
We built our own internal documentation and delivery system using git-based version control, markdown authoring, and automated PDF generation. Documents are written in plain text, styled consistently, and delivered via natural language commands — the same system we use to produce client deliverables.
Many more engagements are currently under discussion or in the pipeline.
We'd love to hear about it. The first conversation is always free.
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