Pre-Trained AI Agents

Streamlining Business Processes with Pre-Trained AI Agents for Maximum Efficiency

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Pre-Trained AI Agents

Avasant’s pre-trained AI agents are designed to streamline business processes, reduce inefficiencies, and minimize errors in traditionally time-consuming areas, ultimately delivering greater value. These AI agents are not vertical-focused and can be applied across various business functions such as sourcing, procurement, and contract management. By leveraging these pre-trained AI agents, organizations can enhance their operational efficiency and achieve better outcomes across business functions.

Our Offerings

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Avasant Copilot for Research

Avasant Copilot for Research is an AI agent designed to empower businesses with quick, data-driven insights through an intuitive, chat-based interface. It offers seamless access to Avasant’s vast research repository, built over 20 years, covering market assessments, industry trends, and technology insights. Whether it’s the RadarView™ Market Assessments or Computer Economics IT Spending and Staffing Reports, users can easily query the entire research library for comparisons, benchmarking, and deeper analysis—all in real time.

With just a simple query, this AI Agent generates customized reports tailored to specific business needs, helping users make informed, strategic decisions faster and more efficiently. Avasant Copilot for Research streamlines access to expert insights, making it an essential tool for organizations seeking competitive intelligence and market foresight.

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Avasant Copilot for Procurement

Avasant Copilot for Procurement is an AI Agent to transform vendor sourcing, bidding, and RfP (Request for Proposal) evaluation for modern enterprises. Reviewing large volumes of proposals manually is often tedious, time-consuming, and prone to both subjectivity and errors. Avasant Copilot eliminates these challenges by infusing intelligence, speed, and accuracy into every step of the procurement process. The AI agent intelligently analyzes the RfP requirements and automatically generates a structured Evaluation Criteria, ensuring an unbiased and consistent assessment framework. Once proposals are uploaded, the Copilot swiftly reviews them, identifying key strengths, risks, and alignment with your business needs.

Within minutes, it delivers a detailed Executive Summary and a clear report highlighting the shortlisted vendors, helping decision-makers save valuable time and effort. By automating repetitive tasks and providing data-driven insights, it significantly improves productivity and enhances the quality of procurement decisions. Whether it’s vendor selection or proposal evaluation, Avasant Copilot for Procurement empowers teams to make faster, smarter, and more efficient sourcing decisions—making it a game-changer in the world of procurement automation.

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Avasant Copilot for Contracts

Avasant Copilot for Contracts is an AI Agent to simplify and optimize the entire contract lifecycle management (CLM) process for enterprises. Managing contracts manually can be complex, time-consuming, and prone to errors, especially when dealing with large volumes of agreements across multiple departments and systems. Avasant Copilot for Contracts eliminates these challenges by bringing intelligence, automation, and seamless integration into every stage of the contract lifecycle.

From drafting and authoring new contracts to reviewing, interpreting, governing, and decomposing contract clauses for system integration, this powerful AI agent handles it all with precision and speed. It ensures that every contract adheres to your organization’s standards, compliance requirements, and regulatory guidelines while minimizing risks and manual oversight.

What sets Avasant Copilot apart is its ability to effortlessly integrate with Avasant’s Contract and Vendor Management platform – AvaSense as well as your existing enterprise systems such as ERP, CRM, procurement or legal platforms. This allows users to manage and access contracts across multiple systems without switching between tools—enhancing collaboration, visibility, and productivity. By breaking down silos, it creates a truly centralized and streamlined contract management experience.

This AI-driven contract management solution is a game-changer for businesses looking to modernize their contract lifecycle management (CLM), boost efficiency, and stay ahead in today’s competitive landscape.

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Avasant Copilot for Grant Evaluation

For NGOs and Donor Organizations, selecting the right candidates and partner organizations for grants is critical to ensuring that funds are allocated appropriately, impactfully, and within designated timelines. This process often involves reviewing a large volume of proposals and conducting rigorous due diligence—tasks that can be both time-consuming and resource-intensive.

Our AI Agent for Grant Evaluation is specifically designed to support donor organizations in streamlining this complex process. It operates within the organization’s predefined evaluation framework, enabling a thorough and consistent assessment of each proposal received. The AI not only reviews the proposals but also assists in conducting due diligence, cross-verifying data, and identifying potential risks or red flags. By automating repetitive tasks and ensuring objective analysis, the AI Agent significantly enhances both the speed and accuracy of the evaluation process. It helps donor organizations improve their decision-making timelines while ensuring that grants are awarded to the most deserving and eligible candidates. Ultimately, this leads to greater efficiency, transparency, and impact in the grant allocation process.

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Case Studies & Success Stories

AI-Powered Transformation in Global Health Research

Avasant partnered with a global health innovation fund to accelerate the review and assessment of large-scale research initiatives aimed at addressing infectious disease threats. The organization sought to modernize its business processes and reduce the time-to-decision for critical funding allocations.

The client’s existing process for reviewing scientific research submissions was complex and time-consuming—often taking several months across multiple stages. With hundreds of applications received each cycle, manual assessments created bottlenecks, delayed outcomes, and introduced the risk of inconsistent evaluations.

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