TLDR: Provus has launched Provus AI, the first agentic AI platform specifically designed for intelligence-driven services quoting. This innovative solution aims to automate, optimize, and accelerate the revenue lifecycle for complex service engagements, helping organizations boost win rates, protect margins, and gain actionable insights by replacing manual processes with dynamic, AI-driven deal execution.
Provus Inc. has officially launched Provus AI, an innovative agentic artificial intelligence platform specifically engineered to transform intelligence-driven services quoting. Announced on October 20, 2025, this platform is poised to automate, optimize, and significantly accelerate the entire revenue lifecycle for complex service engagements, addressing a critical need in the technology services industry.
According to Stawan Kadepurkar, co-founder and CEO of Provus, “Every year, services organizations lose millions of dollars due to manual quoting. Provus AI brings agentic intelligence to services estimation, pricing, and quoting solutions, helping organizations move beyond static workflows to dynamic, AI-driven deal execution that is faster, more accurate, and built for enterprise scale.”
The platform is designed to empower organizations to boost win rates, protect margins, and unlock actionable insights across their business operations. It is built for services pricing, skills matching, and project complexity, currently powering over $5 billion in enterprise revenue annually. Provus AI is expected to be generally available in Q4 2025.
A significant challenge in the services sector is that while services account for two-thirds of technology industry revenue, sales representatives often spend less than one-third of their time actually selling. The majority of their time is consumed by administrative tasks such as prospecting and quoting. Provus AI aims to alleviate this by replacing manual processes and continuously learning from an organization’s sales strategy, win rates, and market insights to rapidly accelerate and improve the quoting process.
Kadepurkar, with 27 years of experience in technology services, highlighted a long-standing gap in traditional Configure, Price, Quote (CPQ) software when applied to services. He noted that while many CPQ solutions cater to products, services have unique factors like people, location, and time, which are not adequately addressed by product-centric systems. Furthermore, product CPQ systems often fail to reflect the variable costs of service delivery, leading to potential financial losses.
Provus AI addresses these complexities by connecting sales, delivery, operations, and finance teams within a single platform, transforming complex services into profitable projects. The platform integrates with major CRM systems like Salesforce Inc. and Oracle Corp. NetSuite, and can draw data from ERP and professional services automation software, as well as transcribed voice conversations for “field intelligence.” This allows the software to calculate the impact of factors such as tariffs, inflation, and market trends on deal costs, continuously improving over time. It can also detect signs of deal faltering and recommend rescue strategies.
The platform’s “agentic intelligence” means that AI agents act as core members of a team, making faster, more intelligent decisions with higher profitability. These agents have a level of autonomy and store everything they do in a “memory bank,” providing a full 360-degree view of every opportunity to ensure deals are won with the right margins, compliance, and strategy.
Provus AI includes modules for Discovery Intelligence, Core Analysis, and Field Intelligence. Its principal benefits for customers include improved cross-functional coordination, faster quote generation, and optimized margins and revenue. The company targets consulting firms, the services arms of product companies, and value-added resellers, offering pretrained models for these businesses.
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The launch of Provus AI marks a significant step towards bringing advanced analytics and AI-driven automation to a sector historically reliant on manual and often inefficient quoting processes, promising to enhance profitability and operational efficiency for service-based organizations.
