
Healthcare
Supporting healthcare organisations in advancing clinical workflows and accelerating digital transformation
Bring finance, procurement, and supply chain together on one ERP so clinicians get what they need, when they need it. Improve availability of critical supplies, strengthen compliance, and lower cost-to-serve.
AI FEATURED CAPABILITIES
Knowledge Management Chatbots
The use of retrieval augmented generation and other GenAI capabilities to provide staff with a natural language interface that analyses, retrieves, and summarises internal process documentation and protocols, such as accounting and compliance policies.

AP Invoice Automation (APIA)
AI-based accounts payable invoice automation tools use machine learning (ML) to match invoices to purchase orders (POs) and contracts, or to automatically code those without a PO. This minimises human input in processing invoices, reduces late payments and creates opportunities for early payment discounts.

Investor Relations Analysis
Use of GenAI and machine learning to identify investor sentiments based on the analysis of earnings call transcripts, news sources, and social media, predict likely questions within investor meeting, and recommend preferred communication approaches and language.

Augment Data Analysis & Interpretation
System enables a clinician, informaticist or hospital administrator to interact with a report or dashboard using natural language. Using generative AI for tasks such as building data visualisations, analysing the data to identify important insights and trends related to clinical operations, quality and safety status, and outcomes of care being delivered and providing actionable recommendations for improvement.

Account & Competitive Intelligence
AI/ML recommends curated content about prospects/customers based on current news feeds, website scraping, review sites and competitive positioning.

Anomaly and Error Detection
AI features within existing company journal, ledger, and other systems monitor payments and transactions to detect and notify staff of anomalies and errors indicative of manual data entry mistakes, duplication or potential fraud.

