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HCLTech launches autonomous finance platform powered by Google cloud's gemini enterprise
HCLTech has introduced a new autonomous finance platform. This platform uses Google Cloud's Gemini Enterprise AI. It aims to revolutionise finance and accounting tasks. The solution will automate complex processes like Invoice-to-Pay and Order-to-Cash. It integrates with existing systems. This move signifies a shift towards intelligent, agent-led operations in finance. The platform promises enhanced speed and control for businesses. HCLTech has announced the launch of an autonomous finance platform designed to transform core finance and accounting operations using Google Cloud's Gemini Enterprise AI stack. The company said the platform aims to address the continued reliance on manual processes in finance and accounting functions despite significant investments in ERP and SaaS systems. It stated that the new solution is intended to enable finance processes "to operate with a high degree of autonomy and intelligence, while integrating seamlessly with existing technology systems." Unlike traditional automation tools, the platform is designed to "orchestrate end-to-end finance processes autonomously - executing, learning and continuously optimising workflows across Invoice-to-Pay, Order-to-Cash, Financial Planning & Analysis (FP&A) and Record-to-Report." HCLTech said the platform combines Google's Gemini Enterprise AI stack with its own finance domain expertise and engineering capabilities. It also leverages Industry AI Solutions designed for enterprise and industry-specific functions. Explaining the objective, HCLTech Executive Vice President and Global Head of BPO, Upjit Ghuman said, "ERP and SaaS platforms digitized finance, but they did not fundamentally change how work gets done." He added, "Our platform introduces an Agentic AI fabric that operates on top of customers' existing IT systems, enabling finance processes to run largely autonomously." HCLTech Chief Technology Officer Vijay Guntur said the initiative reflects the company's AI strategy to move "from experimentation to enterprise scale." From Google Cloud, Google Cloud President of Global Partner Ecosystem Kevin Ichhpursaid the AI stack is built "to handle the complex orchestration required by the world's largest enterprises." He added that the platform combines "deep domain understanding with proven engineering excellence to transform core business functions into autonomous, agent-led operations." The platform is designed to work across key finance functions including Invoice-to-Pay, Order-to-Cash, FP&A and Record-to-Report, aiming to improve execution speed, control and business outcomes for enterprises.
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HCLTech launches Autonomous Finance Platform for use with Google Cloud's Gemini Enterprise
HCLTech today announced the launch of an autonomous finance platform that transforms core finance and accounting operations using Gemini Enterprise. While enterprises make significant investments in core ERP and SaaS platforms, finance and accounting operations continue to rely heavily on manual intervention. The new platform is designed to address this gap by enabling finance processes to operate with a high degree of autonomy and intelligence, while integrating seamlessly with existing technology systems. Unlike traditional automation and isolated AI use cases, the platform orchestrates end-to-end finance processes autonomously -- executing, learning and continuously optimizing workflows across Invoice-to-Pay, Order-to-Cash, Financial Planning & Analysis (FP&A) and Record-to-Report. This approach enables faster execution, improved control and measurable business outcomes for enterprise finance organizations. This enterprise-grade platform brings together Google's Gemini Enterprise AI stack and secure cloud infrastructure with HCLTech's deep finance domain expertise, engineering capabilities and operations experience. The Autonomous Finance platform leverages HCLTech's Industry AI Solutions, which brings domain-trained AI solutions tailored to specific industry and enterprise functions. The new platform is scalable, secure and designed for real-world finance operations, while accelerating time-to-value for global enterprises. "ERP and SaaS platforms digitized finance, but they did not fundamentally change how work gets done," said Upjit Ghuman, Executive Vice President and Global Head of BPO, HCLTech. "Our platform introduces an Agentic AI fabric that operates on top of customers' existing IT systems, enabling finance processes to run largely autonomously. By significantly reducing manual intervention, CFOs and finance teams can focus on judgment-driven, strategic and value-creating work." "HCLTech's AI strategy is about taking AI from experimentation to enterprise scale," said Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCLTech. "This collaboration with Agent Platform is a strong step forward in that direction -- bringing together advanced AI capabilities and real-world enterprise depth to create solutions that can be deployed with confidence across core business functions." "Gemini Enterprise and Google's AI stack are built to handle the complex orchestration required by the world's largest enterprises," said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. "Built on this foundation, HCLTech's finance platform combines deep domain understanding with proven engineering excellence to transform core business functions into autonomous, agent-led operations."
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HCLTech unveiled an autonomous finance platform powered by Google Cloud's Gemini Enterprise AI to transform finance and accounting operations. The solution automates complex workflows across Invoice-to-Pay, Order-to-Cash, and FP&A, reducing manual intervention while integrating with existing ERP systems to enable agent-led operations.
HCLTech has launched an autonomous finance platform that leverages Google Cloud's Gemini Enterprise AI stack to transform how enterprises handle finance and accounting operations. The platform addresses a persistent challenge: despite significant investments in ERP and SaaS systems, finance teams continue to rely heavily on manual intervention for critical processes
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Source: ET
Unlike traditional automation tools that handle isolated tasks, this AI solution orchestrates end-to-end workflows across Invoice-to-Pay, Order-to-Cash, Financial Planning & Analysis (FP&A), and Record-to-Report functions
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. The platform is designed to execute, learn, and continuously optimize finance processes while integrating seamlessly with existing technology systems2
.Upjit Ghuman, Executive Vice President and Global Head of BPO at HCLTech, explained the platform's core innovation: "ERP and SaaS platforms digitized finance, but they did not fundamentally change how work gets done. Our platform introduces an Agentic AI fabric that operates on top of customers' existing IT systems, enabling finance processes to run largely autonomously"
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. By significantly reducing manual intervention, CFOs and finance teams can redirect their focus toward judgment-driven, strategic tasks and value-creating work2
.The enterprise-grade platform combines Google's Gemini Enterprise AI stack and secure cloud infrastructure with HCLTech's finance domain expertise, engineering capabilities, and operations experience
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. It also leverages HCLTech's Industry AI Solutions, which deliver domain-trained AI solutions tailored to specific industry and enterprise functions2
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Vijay Guntur, Chief Technology Officer at HCLTech, emphasized that the initiative reflects the company's strategy to advance AI from experimentation to enterprise scale
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. Kevin Ichhpurani, President of Global Partner Ecosystem at Google Cloud, noted that Gemini Enterprise and Google's AI stack are built to handle the complex orchestration required by the world's largest enterprises1
. The platform combines deep domain understanding with proven engineering excellence to transform core business functions into autonomous, agent-led operations2
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Source: CXOToday
The platform is designed to deliver faster execution, improved control, and measurable business outcomes for enterprise finance organizations
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. It aims to accelerate time-to-value for global enterprises while remaining scalable and secure for real-world finance operations2
. This marks a significant shift toward intelligent automation where finance processes operate with a high degree of autonomy, fundamentally changing how work gets executed across critical finance functions1
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