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Responsive Launches TRACE ScoreTM Setting A New Standard for AI-generated Content
Industry-first scoring system establishes a new benchmark for AI quality, enabling organizations to improve response integrity while accelerating AI adoption Responsive, the global leader in AI-powered Strategic Response Management (SRM) software, today announced TRACE Score™, an industry-first scoring system that evaluates Responsive AI-generated responses according to five key dimensions: Trustworthiness, Relevance, Accuracy, Completeness, and Explainability. By enabling organizations to instantly assess and refine AI-generated content, TRACE Score™ reduces risk, improves response quality, and accelerates revenue-generating workflows. Sales and proposal teams can confidently scale the use of generative AI without compromising content integrity. "TRACE ScoreTM isn't just a confidence metric; it sets a new standard for evaluating AI-generated answers," said AJ Sunder, Chief Product Officer and Chief Information Officer at Responsive. "It empowers organizations to adopt AI with confidence, knowing that every recommendation from Responsive AI meets rigorous quality thresholds." TRACE ScoreTM: Setting a New Standard for Confidence in AI As organizations increasingly rely on AI-generated content, they face mounting pressure to deliver accurate, high-quality responses at scale while meeting tight deadlines and compliance requirements. To meet these rising demands, Responsive is introducing the TRACE ScoreTM, which objectively assesses AI-generated responses within the Responsive Platform, enabling greater accuracy, trust, and compliance. By evaluating responses across five key dimensions -- Trustworthiness, Relevance, Accuracy, Completeness, and Explainability -- and providing a numerical score (0-100) with insights into areas for improvement, the TRACE ScoreTM helps organizations scale AI-driven content with confidence. Sales and proposal teams mitigate risk and improve the quality of responses by understanding where there may be gaps or shortcomings from initial drafts and taking action accordingly. Guided by the TRACE ScoreTM, teams develop more accurate, complete, and compelling responses that win more business and align with buyer requirements -- all while accelerating response times. High TRACE scores indicate responses that are more reliable, while lower scores flag areas requiring further review. By providing transparency into the quality of AI-generated content, the TRACE ScoreTM empowers users to make informed decisions while minimizing risks associated with inaccuracies or incomplete information. Gartner, Inc. recently predicted the advent of GenAI scoring systems, noting, "By 2026, a composite score for evaluating the machine intelligence of GenAI solutions will emerge and become a key differentiator for the comparative evaluation of AI offerings.[1]" Responsive AI Agents: Strategic Response Specialists Across the Pursuit Lifecycle In addition to pioneering new benchmarks for AI quality with the launch of TRACE ScoreTM, the company recently introduced AI agents built for the demands of sales and proposal teams. Responsive AI agents execute complex response workflows while collaborating seamlessly with human teams, enabling them to work smarter, faster, and with greater accuracy. "Responsive AI has been a game-changer for our proposal teams, transforming the way we respond to revenue-impacting requests like RFPs, security questionnaires, and even ad hoc questions, with greater speed, accuracy, and efficiency," said Roger Bedore, RFP Team Lead of Perceptyx. "Responsive agents act as true value multipliers -- independently automating routine tasks, ensuring we're always using the most compelling and accurate responses, and enabling our team to focus on more strategic, high-impact work. This efficiency boost has not only contributed to significant top-line growth for us but has also elevated our proposal team to a key function within our go-to-market strategy." Current agents include: Document Shredding Agent scours complex documents to provide a high-level summary. File Mapping Agent automatically ingests and organizes complex documents to identify key sections, questions, and answers for easy management in the Responsive platform, accelerating time to response. Answering Agent creates tailored, comprehensive first draft responses in minutes and will always cite its sources. "The business of responding is the business of winning, but it's harder than ever as requests for information continue to multiply and companies struggle to harness siloed company information they can't fully trust," said Ganesh Shankar, CEO of Responsive. "Our AI agents help companies boost win rates and drive profitable growth by drawing from only the most current, compelling, and compliant customer-facing information -- and mitigate risk by backing every output with a TRACE ScoreTM that evaluates the quality of answers and explains the reasoning and sources used to craft them." Responsive's Unique Approach to AI-Powered SRM AI has been foundational to Responsive's platform since the company's inception and is grounded in three design principles: human-centricity, privacy, and trust. Today, Responsive is setting the bar for responsible AI innovation in Strategic Response Management. As TRACE ScoreTM builds greater trust and confidence in AI outputs, agents supercharge productivity by automating complex response workflows and empowering proposal teams to focus on higher impact work. The company's system of agents, together with Large Language Models (LLMs), deliver high-quality generative capabilities with domain-specific precision. More than 2,000 customers are already leveraging powerful AI capabilities to perform multi-step, specialized tasks across the pursuit lifecycle. Responsive AI is enabling leading organizations to target the right opportunities and win more business: Microsoft saved $17M and drove $10.4B in revenue with Responsive AI; JAGGAER saw a 15X ROI in just three months; and Invicti has achieved an 83% win rate while responding 2.5X faster. About Responsive Responsive (formerly RFPIO) is the global leader in Strategic Response Management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to drive profitable growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Responsive is headquartered in Portland, OR, with additional offices in Kansas City, MO and Coimbatore, India. Learn more at responsive.io.
[2]
Responsive Launches TRACE ScoreTM Setting A New Standard for AI-generated Content
Industry-first scoring system establishes a new benchmark for AI quality, enabling organizations to improve response integrity while accelerating AI adoption Responsive, the global leader in AI-powered Strategic Response Management (SRM) software, today announced TRACE Score™, an industry-first scoring system that evaluates Responsive AI-generated responses according to five key dimensions: Trustworthiness, Relevance, Accuracy, Completeness, and Explainability. By enabling organizations to instantly assess and refine AI-generated content, TRACE Score™ reduces risk, improves response quality, and accelerates revenue-generating workflows. Sales and proposal teams can confidently scale the use of generative AI without compromising content integrity. "TRACE ScoreTM isn't just a confidence metric; it sets a new standard for evaluating AI-generated answers," said AJ Sunder, Chief Product Officer and Chief Information Officer at Responsive. "It empowers organizations to adopt AI with confidence, knowing that every recommendation from Responsive AI meets rigorous quality thresholds."
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Responsive launches TRACE Score™, an industry-first scoring system for evaluating AI-generated content, setting a new standard for quality and trust in AI-powered Strategic Response Management.
Responsive, a leader in AI-powered Strategic Response Management (SRM) software, has introduced TRACE Score™, an innovative scoring system designed to evaluate AI-generated responses. This industry-first initiative aims to establish a new benchmark for AI quality, enabling organizations to enhance response integrity while accelerating AI adoption 12.
TRACE Score™ assesses AI-generated content across five key dimensions:
The system provides a numerical score ranging from 0 to 100, offering insights into areas that need improvement. This approach allows sales and proposal teams to mitigate risks and enhance the quality of their responses 12.
AJ Sunder, Chief Product Officer and Chief Information Officer at Responsive, emphasized the significance of TRACE Score™: "It empowers organizations to adopt AI with confidence, knowing that every recommendation from Responsive AI meets rigorous quality thresholds" 12.
The scoring system enables organizations to:
In addition to TRACE Score™, Responsive has introduced AI agents designed for sales and proposal teams. These agents execute complex response workflows while collaborating with human teams, improving efficiency and accuracy 1.
Key AI agents include:
Gartner, Inc. has predicted the emergence of GenAI scoring systems, stating, "By 2026, a composite score for evaluating the machine intelligence of GenAI solutions will emerge and become a key differentiator for the comparative evaluation of AI offerings" 1.
Roger Bedore, RFP Team Lead of Perceptyx, shared his experience with Responsive AI: "Responsive agents act as true value multipliers -- independently automating routine tasks, ensuring we're always using the most compelling and accurate responses, and enabling our team to focus on more strategic, high-impact work" 1.
Responsive's AI strategy is grounded in three design principles: human-centricity, privacy, and trust. The company aims to set the standard for responsible AI innovation in Strategic Response Management by combining TRACE Score™ with its system of AI agents and Large Language Models (LLMs) 12.
As organizations increasingly rely on AI-generated content, TRACE Score™ represents a significant step towards building greater trust and confidence in AI outputs, while also boosting productivity and enabling proposal teams to focus on higher-impact work.
Reference
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