Former Fintech Founders Launch AI Platform to Cut Days of Manual Finance Work into Hours
Enterprise finance has long been burdened by complex workflows, disconnected software systems, spreadsheets and labour-intensive compliance processes. Despite rapid advances in technology, many finance departments still rely heavily on manual operations.
Two entrepreneurs, Furqan and Sarfraz, believe artificial intelligence can change that.
Through their startup, Plouton AI, the founders are developing what they describe as a new operating layer for finance teams—one designed to automate critical financial processes while maintaining transparency, control and compliance.
From Fintech Success to Enterprise AI
Furqan’s professional journey spans finance, technology and entrepreneurship. Before launching Plouton AI, he co-founded YPay Financial, a licensed fintech company focused on improving access to financial services for young investors.
Following a successful exit, he led AI and automation projects through ASF Tech Partners, building solutions for startups and regulated enterprises across multiple industries.
His earlier experience at Deloitte, where he worked on International Financial Reporting Standards (IFRS) implementations, provided firsthand insight into the challenges organisations face when managing financial systems and regulatory requirements.
“My work has always been about combining technical depth with commercial execution,” Furqan said.
Technical Expertise at the Core
Joining him is Sarfraz, Plouton AI’s Chief Technology Officer, whose background centres on building and scaling technology products for high-growth companies.
As the former Founder and Chief Executive of YPay Financial, he oversaw the company’s technology infrastructure, software development, deployment processes and operational scaling.
His expertise covers modern development frameworks, mobile applications and enterprise-grade backend systems.
Together, the founders bring a combination of fintech experience, engineering capability and operational knowledge that they believe is essential for tackling one of business’s most persistent challenges.
Tackling an Overlooked Business Problem
The idea behind Plouton AI emerged from a problem the founders repeatedly encountered across growing organisations: finance operations remain fragmented, time-consuming and vulnerable to human error.
In many mid-sized and large companies, processes such as payroll preparation, account reconciliation and financial closing require extensive manual coordination across spreadsheets and multiple software platforms.
According to the founders, finance teams often spend between 70% and 80% of their time on repetitive administrative tasks, while errors can be costly and difficult to identify.
They also argue that many existing software solutions address only isolated tasks rather than complete workflows.
Building an AI-Powered Finance Layer
Plouton AI seeks to address these challenges through agentic automation—AI-powered agents capable of operating across widely used financial platforms, including NetSuite, Xero, QuickBooks and Excel.
Rather than focusing on individual tasks, the platform is designed to automate entire workflows from start to finish, while preserving audit trails and organisational oversight.
The founders say the approach can significantly reduce the time required to complete routine finance operations and improve accuracy across enterprise processes.
“The goal is simple,” Furqan said. “Turn multi-day finance operations into hours—with higher accuracy.”
The Future of Finance Operations
As businesses increasingly adopt artificial intelligence to improve efficiency, startups such as Plouton AI are targeting a critical but often overlooked area of corporate infrastructure.
By reducing manual workloads and connecting fragmented systems, the company hopes to redefine how finance teams operate in an increasingly digital economy.
