Business Automation & AI Case Studies

  • $250k in Annual Cost Savings Identified for Property Inspection Company
    A property inspection company faced manual data entry, duplicated efforts and a $2.5 million receivables backlog across its 35-person team. Osher Digital conducted a business process audit and developed a six-month automation roadmap. This initiative aimed to centralise data in a cloud CRM, automate repetitive tasks and recover lost efficiency, projecting savings of over 8,000 admin hours and $250,000 in annual costs.
  • AI Application Processing for an Online Talent Marketplace
    A major online talent marketplace reduced the time required to evaluate and draft candidate profiles from over 30 minutes to under 30 seconds by implementing an AI agent that automatically parses resumes and LinkedIn profiles, generates complete online profiles, extracts skills and industry tags, and notifies the internal team for final review.
  • Self-Hosted AI RAG Agent for Internal Knowledge
    A building inspection company engaged Osher Digital to develop a self-hosted AI retrieval-augmented generation (RAG) question-and-answer agent. The agent, accessible via full-screen interface or chat bubble on the company intranet, handles staff queries using the internal knowledge base, government legislation, and ISO standards.
  • AI Efficiency Review for an ASX-Listed Mining Company
    Osher Digital, in partnership with BDO, conducted a six-week deep dive into support services for a top ASX-listed mining company. The review identified operational efficiencies across HR, travel, IT, and procurement, delivering a board paper and presentation that quantified cost savings and productivity gains expected over 18-24 months.
  • Automating Report Generation for Field Services
    A consulting arborist in South Australia faced a manual report generation process that involved extensive cutting and pasting from Fulcrum into Word documents for four report types. Osher Digital implemented an automated workflow using webhooks, dynamic templating, and AI-assisted drafting, reducing manual efforts by over 80% and enabling the client to handle more jobs at higher prices.
  • Automating Patient Data Entry for a Medical Practice
    A Melbourne-based medical practice, reduced manual data entry time by automating the processing of patient referrals received via email and Healthlink. Using n8n, OCR, and AI, patient data is extracted, formatted, deduplicated, and entered into Xestro and Zoho CRM.

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