Faster closings. Forecasts built on fewer assumptions. Funded by the value in your business.
Finance, planning and performance management, redesigned from operating model to ERP and data & AI platforms
CFOs are under pressure to close faster, meet growing disclosure requirements, fund transformation from existing budgets, and provide the business with more accurate and timely insight. We treat finance as an operating system: the model that determines where work sits, the process that produces the number, and the ERP and planning stack that carries support them. Because our consultants work alongside the teams configuring S/4HANA and the main planning platforms, the target model does not have to be reworked the moment it meets the system backlog. Those teams also bring the data science and AI accelerators to improve forecasting accuracy, strengthen performance management, detect anomalies across financial and operational data and deploy AI where controls, governance and regulatory requirements permit.
Where we work
Finance Operating Model & Shared Services
Redesign the way finance operates, from decision rights and governance to process ownership and team interactions for a faster execution, stronger accountability and better service to the business
Planning, Budgeting & Forecasting
Machine-learning forecasts back-tested against your own history, driver-based models and rolling cycles giving the executive committee a view beyond the next close
Cost & Margin Programs
Cost baselines rebuilt from ledger data, with automated spend classification, accountable budget owners and disciplined savings tracking.
Cash & Order-to-Cash
Billing accuracy, dispute resolution and collections, supported by anomaly detection across the entire invoice population to identify revenue leakage
ERP & EPM Enablement
Design authority, data migration and testing on SAP, Oracle and leading planning platforms, including their embedded AI features, delivered alongside the teams responsible for operating them
Performance Reporting & Finance Data
One definition per indicator, one owner per source, and a governed semantic layer enabling reliable finance data query in plain language
Documentation, data pipeline and exception handling rebuilt for a global forwarder, removing manual rework from the declaration and invoicing chain.
An automated tax business line, a group data platform and an AI governance framework, scoped and costed for the executive committee of a cost and tax recovery group.
Why Talan?
Utilising controllers and integrators on one team
Target operating models designed with the teams responsible for configuring and running the system
Data science capturing every transaction
Data science applied to the full population of invoices, ledger lines and timesheets to identify anomalies, diagnose performance issues and uncover value opportunities
Savings reaching the budget
Every lever is attached to a cost center and followed until it appears in the accounts
Including regulation as part of the design
E-invoicing, Pillar Two and sustainability disclosure are treated as design constraints on the finance model
Working with fewer, more senior people
Small teams with operating experience inside finance functions, start the work with full knowledge of your environment