PRACTICAL FINANCE · ISLAM ALI HASSANIN
Finance priorities: evidence into application
A research brief for the first decision-model collection.
Version 1.0 ·18 September 2026 · Original educational case
Conclusion
Prioritise forecast quality, cash resilience and measurable AI value. Support these with evidence-backed close controls.
Evidence boundary
Selected public primary sources, not a systematic survey or representation of every finance professional. Geography, sample and publication date limit generalisation.
Our contribution
Original calculations translate themes into testable management questions. Resource prioritisation is our editorial judgment.
| Priority | Source observation | Practical response |
|---|---|---|
| Forecasting and cost discipline | Gartner’s 2026 agenda highlights competing cost, growth and AI priorities. | Open model |
| Cash and resilience | McKinsey’s 2026 article reports a late-2025 survey of 152 finance leaders in 22 countries and identifies planning, operational drivers and cash among priorities. | Open model |
| AI value and governance | Gartner’s Q3 2026 report frames AI return, risk ownership and skills as CFO questions; NIST provides a voluntary risk framework. | Open model |
| Reliable close evidence | PCAOB AS2201 identifies period-end procedures, entries and oversight. We use this as process context, not a universal compliance requirement. | Open model |
Selection method
Topics combine a current leadership need, a measurable output, realistically available data and a useful boundary for a free educational model. No proprietary scoring methodology or paid research was reproduced. AFP informs cash discipline; NIST informs risk questions, not the ROI formula.
Source register
- Gartner CFO Report, Q3 2026
- Gartner 2026 CFO agenda
- McKinsey CFO Pulse, 2026
- AFP cash forecasting
- NIST AI RMF
- PCAOB AS2201 paragraphs 26–27
Accessed 18 September 2026. Public summaries support topic selection, not validation of our models. Source organisations have not reviewed or endorsed this collection.