The Finance function today is rich with potential — but much of that potential is trapped in fragmented systems, inconsistent processes, and disconnected transformation initiatives. CFOs have the strategic vision, yet their operating models remain reactive and dispersed.
Introducing, the Agile Target Operating Model (aTOM), an AI-led finance transformation platform from WNS, part of Capgemini that acts as the command center for modern finance. aTOM provides a single, end-to-end view of processes, controls, and SLAs, bringing continuity, control, pace, and visibility across the finance value chain—from diagnostic assessment to value realization.
Check out the webinar to see real-world examples of how aTOM empowers finance leaders to:
- Diagnose bottlenecks across processes, data and technology with a unified view
- Benchmark performance using industry standards and determine transformation maturity
- Leverage activity-level recommendations, governance workflows and value tracking
- Build roadmaps that tie every initiative to cost, cash and risk impact
Speakers
Tom Klein
Executive Vice President & Global F&A Practice Head
WNS, part of Capgemini
Sivaram Vallampati
Corporate Senior Vice President, Finance & Accounting Capability
WNS, part of Capgemini
Gurjot Singh
Senior Director – F&A Capability
WNS, part of Capgemini
FAQs
1. What is a finance Target Operating Model (TOM) and why is it important for CFOs?
A finance target operating model defines how finance functions, processes, governance, technology and talent work together to achieve business goals. For CFOs, a modern finance target operating model improves agility, standardization, cost efficiency and decision-making while enabling AI-driven finance transformation and scalable enterprise growth.
2. How does an AI-led operating model improve finance transformation outcomes?
An AI-led finance transformation model uses automation, analytics and intelligent workflows to streamline finance operations and improve accuracy. It helps organizations accelerate close cycles, enhance forecasting, reduce manual effort and generate real-time insights, enabling finance teams to become more strategic, data-driven and business-focused.
3. What challenges do organizations face with fragmented finance processes and systems?
Common finance transformation challenges include disconnected ERP systems, siloed data, inconsistent workflows and limited process visibility. These issues reduce operational efficiency, increase compliance risks and delay decision-making. Fragmented finance environments also make it difficult for organizations to scale automation, analytics and AI initiatives effectively.
4. How can aTOM help finance leaders benchmark maturity and identify process gaps?
aTOM supports finance maturity assessment by analyzing finance processes, governance models and operational performance against industry benchmarks. It helps finance leaders identify inefficiencies, prioritize transformation initiatives and uncover process gaps, enabling organizations to build a data-driven roadmap for continuous finance modernization and operational excellence.
5. What role do governance workflows and SLA tracking play in finance modernization?
Finance governance workflows and SLA tracking improve accountability, compliance and operational transparency across finance functions. They help organizations standardize processes, monitor performance in real time and reduce operational risks. Strong finance governance also enables better control, faster issue resolution and improved service delivery outcomes.
6. How does a unified finance operating model improve visibility, control and decision-making?
A unified finance operating model connects finance processes, systems, data and governance into a single framework. This improves real-time visibility, strengthens financial controls and enables faster decision-making. Organizations can achieve greater process consistency, better performance monitoring and more effective enterprise-wide finance transformation outcomes.