AI Auto Scoring evaluates every conversation with 90%+ accuracy, giving you complete QA coverage and consistent scoring standards without the manual overhead.
AI Auto Scoring accuracy
reduction in manual QA
average AI scoring time per interaction
increase in QA coverage
Building a QA program takes time, people, and resources that many teams simply don't have. Scorebuddy's AI handles the evaluation process at scale, so you can build a consistent, evidence-based QA program without adding headcount.
AI Auto Scoring reviews 100% of customer interactions across voice, chat, and email, against scorecards you configure to your own standards, including auto-fail and critical-failure rules for high-risk interactions. Get a complete picture of quality and CX across human agents and AI chatbots.
Surface agent performance trends and coaching opportunities directly from your evaluation data, feeding QA findings into coaching workflows so the gap between spotting an issue and closing it stays short. Agents can also review, query, or dispute their AI scores directly, building the trust your team needs to switch to AI-powered QA.
Upload your knowledge base documents, internal guidelines, and policies so evaluations stay grounded in your own standards. A full audit trail, human review controls, ISO 27001 certification, and SOC 2 Type 2 attestation give regulated teams the confidence to automate QA without compromising on accountability or control.
Replace manual sampling with complete automated coverage. AI Auto Scoring evaluates every conversation with 90%+ accuracy across human agents and AI chatbots, so your team can base quality decisions on the full picture.
Upload your knowledge base documents and internal guidelines to Scorebuddy so AI evaluations stay consistent, explainable, and aligned to your own standards.
Generate on-demand performance summaries for individual agents, giving your team transparency into how their work is being scored and a clear process for flagging anything that needs a second look.
Keep your automated QA program calibrated over time. Flag interactions for human review, validate AI scoring decisions, and ensure your standards are applied consistently as your operations evolve.
Declan Ivory, VP Customer Support, Intercom
Rhiannon Morris, Quality Control Team Lead, Tide
Anthony Hussey, Team Supervisor, Citizens Information