Provus Inc., a prominent player in AI-driven solutions for services estimation and pricing, has launched a pioneering platform known as Provus AI. This innovative agentic AI platform aims to transform the revenue lifecycle for organizations engaged in complex services. The announcement was made during the TSIA World ENVISION conference, where the platform was showcased at booth 511. The new technology promises to automate and expedite the quoting process, allowing companies to enhance their win rates and safeguard their profit margins while converting opportunities into sustainable growth.
According to Stawan Kadepurkar, co-founder and CEO of Provus, many services organizations face substantial financial losses annually due to outdated manual quoting processes. The introduction of Provus AI is seen as a solution to this problem, providing dynamic, AI-driven strategies that replace static methodologies. Kadepurkar emphasized that the platform equips revenue teams with comprehensive insights into every opportunity, ensuring that deals are not only won but are also profitable and compliant with strategic objectives.
Revolutionizing the Quoting Process
Despite the fact that services account for a significant portion of revenue in the technology sector, many sales representatives find themselves bogged down by administrative tasks rather than focusing on selling. The Provus AI platform is designed to streamline these operations by learning from a company’s sales tactics, historical win rates, and market data. This approach effectively accelerates the quoting process, making it more efficient.
The platform’s capabilities include AI agents that function as integral team members, enabling quicker and smarter decision-making aimed at maximizing profitability. These agents are trained to identify potential risks in opportunities, suggest necessary adjustments in pricing and staffing, and forecast outcomes over the short term. Users can choose from five pre-configured AI agents or customize their own to meet specific needs. Additionally, features like Discovery Intelligence ensure that raw data from conversations and documents is transformed into structured quotes in mere minutes, closing the gap between sales discussions and quote generation.
Enhancing Market Intelligence and Decision-Making
The platform also integrates with internal data sources, such as customer relationship management (CRM) and enterprise resource planning (ERP) systems, to provide teams with a comprehensive analytical framework. This functionality helps in identifying margin risks, tracking deal flow, and assessing the likelihood of winning bids, all while relying on actual operational data. Furthermore, the Field Intelligence feature extends the platform’s capabilities beyond internal data by continuously monitoring external sources. This allows organizations to stay informed of competitor activities, market pricing trends, and regulatory changes that could impact their deals.
As Chris Murphy, the Global Chief Client and Revenue Officer at Thoughtworks and a user of the platform, noted, the traditional model of pricing based solely on time is evolving. He remarked that in today’s AI-enhanced landscape, pricing is increasingly linked to outcomes rather than just the efforts involved in achieving them.
The Provus AI platform is engineered to provide precise pricing intelligence that accommodates the intricacies of services, ensuring 100% accurate recommendations that evolve with every transaction. Anticipated to be available in the fourth quarter of 2025, this platform is poised to support organizations in managing over $5 billion in enterprise revenue annually. Interested parties can explore the new features at the TSIA World ENVISION event or visit provusinc.com for more information and demo requests.
Founded in 2021 and based in San Jose, California, Provus is backed by investors such as Norwest, Accel, and Storm Ventures, and has established itself as a trusted partner for companies looking to enhance their quoting processes and operational efficiency.






