
Taught by practitioner, not theorist
Real-world operators who have shipped AI inside enterprise finance — not keynote speakers borrowing case studies.
Ali Afzal
Financial & Management AccountantAn accomplished financial and management accountant with 10 years of experience across broad industries — sets high standards and exceeds expectations. Significant knowledge in financial and management accounting combined with a history of successfully setting budgets, targets and KPIs, and leading projects from planning through execution in time-sensitive environments.
A capability gap is opening in finance. One day closes it for your team.
You cannot scale a modern finance function on manual spreadsheet work.
Right now, your team is likely spending over half of close week copying data, hunting down variances, and formatting board reports. The issue is not a lack of talent; it is a lack of leverage.
The industry is shifting rapidly. Finance professionals who know how to use Large Language Models (LLMs) are already automating repetitive tasks and driving strategy. Those relying on legacy processes are simply running out of time. This workshop bridges that exact capability gap.
You build something real on the day.
This is not a theoretical keynote. It is a practical build session designed entirely around finance workflows like month-end close, variance commentary, and forecast narratives.
- ✓No coding required. If you can work with a spreadsheet, you can build an AI assistant with our guidance.
- ✓Built for finance. Every use case, prompt, and example is tailored to the accounting and finance industry.
- ✓A tangible outcome. You will leave with a working Finance Commentary Assistant, a reusable prompt library, and a scoped pilot use case to pitch internally.
Safe AI adoption for enterprise finance.
Deploying AI without strict data controls is not an option for Australian enterprises. We tackle this first. Before a single prompt is written, we cover safe AI use, strict data rules, and review controls.
You will learn exactly how to leverage generative AI while ensuring your sensitive financial data remains completely secure and compliant.
An immediate return on investment.
At $750 per head, the business case writes itself. You are investing in a permanent capability uplift that instantly translates to faster reporting cycles and higher-quality strategic insights.
Credentials that matter to enterprise finance
We've been in the trenches building data models, aligning business systems, and deploying AI in enterprise finance environments.- IBM Gold Partner
- Most Awarded IBM Partner — APAC
- 10 Years Enterprise Finance & AI
- IBM Planning Analytics Specialists
- Agentic AI · S&OP · FP&A
Built for enterprise finance professionals
This is not open to vendors, consultants, or software companies. Finance practitioners only.Enroll now!
Every registration is manually reviewed. We'll confirm within 48 hours. Seats are limited..png?width=150&height=84&name=Happy%20New%20Year%20(4).png)
Octane Software Solutions is a global enterprise technology specialist and trusted IBM Gold Partner, helping organisations accelerate analytics, automation, and AI-driven decision-making. With deep expertise in IBM Planning Analytics, automation and agentic AI, Octane works closely with finance, IT and business leaders to turn experimentation into operational outcomes that drive measurable business value. Built on a foundation of real-world transformation experience and cross-industry delivery, Octane combines strategic advisory, execution excellence and governance frameworks to support scalable AI adoption across complex enterprises.
Octane’s leadership has been recognised by IBM and industry peers alike, including winning the 2025 IBM Partner Plus Award (APAC) for AI and being named a Top 3 finalist in the IBM TechXchange Awards 2025. Octane’s approach blends innovation, practical frameworks and governance to de-risk AI investment and unlock sustained competitive advantage. Some of the clients that trust Octane are : Macquarie, NewsCorp, Tyro, Western Power, GrainCorp, Pepsi, Wisetech.
