Artificial Intelligence

• Prioritise AI opportunities that create meaningful business value
• Map processes and identify root causes
• Work directly with colleagues to understand current workflows
• Help teams adapt when new solutions are introduced
• Lead the AI Champion Network and support company-wide AI adoption
• Measure outcomes and follow through when adoption or results fall short
• Run the opportunity intake process with the IT Manager
• Establish process baselines and define success measures
• Collaborate with the AI Operations Engineer on opportunity assessment and initiatives
• Lead process improvement, organisational adoption and value measurement
• Shape the AI Hub and its focus areas
• Develop recommendations for business processes and AI initiatives

AI Business Partner

• Build AI agents, automations and integrations that remove manual work and improve team operations
• Work directly with colleagues to understand problems and shape practical solutions
• Design data models, workflows and integrations for reliable AI solutions
• Decide where automation and AI add value and where human judgement should remain
• Own solutions through reliability, monitoring, security and cost management
• Improve solutions based on actual usage
• Create documentation and reusable patterns for maintenance and extension
• Collaborate with the AI Business Partner and IT Manager to assess opportunities and agree scope
• Take ownership of existing platform components and contribute new solutions to production
• Help shape CatalystOne’s AI practice and deliver measurable business value