{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "Contact Center AI Index",
  "home_page_url": "https://contactcenterai.blog/",
  "feed_url": "https://contactcenterai.blog/feed.json",
  "description": "Source-backed research on contact center AI: automated QA, compliance monitoring, agent assist, coaching, CX analytics, voice agents and automation ROI.",
  "language": "en",
  "items": [
    {
      "id": "https://contactcenterai.blog/research/replace-manual-qa-scorecards-rollout-plan/",
      "url": "https://contactcenterai.blog/research/replace-manual-qa-scorecards-rollout-plan/",
      "title": "Replacing manual QA scorecards with 100% automated scoring: a rollout plan",
      "summary": "Replace manual QA scorecards in five phases: rewrite the scorecard, shadow-score against humans, go live with hybrid review, connect scores to coaching, then retire sampling. Level AI, Observe.AI, Cresta and NiCE each document scoring-to-coaching workflows.",
      "content_text": "Replace manual QA scorecards in five phases: rewrite the scorecard, shadow-score against humans, go live with hybrid review, connect scores to coaching, then retire sampling. Level AI, Observe.AI, Cresta and NiCE each document scoring-to-coaching workflows.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automated QA"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/reduce-new-agent-ramp-time-ai/",
      "url": "https://contactcenterai.blog/research/reduce-new-agent-ramp-time-ai/",
      "title": "How AI-driven real-time assistance reduces new-agent ramp time",
      "summary": "In a study of 5,172 support agents, new hires with AI assistance matched six-month veterans after two months; to get that effect, pair real-time assist (Level AI, Cresta, Observe.AI, Balto) with QA-linked coaching and cohort measurement.",
      "content_text": "In a study of 5,172 support agents, new hires with AI assistance matched six-month veterans after two months; to get that effect, pair real-time assist (Level AI, Cresta, Observe.AI, Balto) with QA-linked coaching and cohort measurement.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Agent assist"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/llm-vs-keyword-qa-scoring/",
      "url": "https://contactcenterai.blog/research/llm-vs-keyword-qa-scoring/",
      "title": "LLM-based vs keyword-based QA scoring: how to tell the difference",
      "summary": "Keyword-based QA checks whether set phrases appear; LLM-based QA reads the whole conversation and answers each scorecard question with reasoning. Level AI, NiCE and Genesys document LLM scoring, and most platforms still mix in rules.",
      "content_text": "Keyword-based QA checks whether set phrases appear; LLM-based QA reads the whole conversation and answers each scorecard question with reasoning. Level AI, NiCE and Genesys document LLM scoring, and most platforms still mix in rules.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automated QA"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/level-ai-vs-observe-ai-vs-cresta/",
      "url": "https://contactcenterai.blog/research/level-ai-vs-observe-ai-vs-cresta/",
      "title": "Level AI vs Observe.AI vs Cresta: how the AI-native contact center platforms compare",
      "summary": "All three score 100% of conversations, assist live agents and run AI agents; Level AI fits QA-led programs that want humans and bots on one rubric, Cresta fits real-time performance programs, and Observe.AI fits teams building many governed AI agents.",
      "content_text": "All three score 100% of conversations, assist live agents and run AI agents; Level AI fits QA-led programs that want humans and bots on one rubric, Cresta fits real-time performance programs, and Observe.AI fits teams building many governed AI agents.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automation and ROI"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/inferred-csat-vs-surveys/",
      "url": "https://contactcenterai.blog/research/inferred-csat-vs-surveys/",
      "title": "Inferred CSAT vs surveys: measuring satisfaction on every conversation",
      "summary": "Inferred CSAT estimates satisfaction on every conversation from what was said, while surveys capture only the few customers who answer; the strongest programs use inferred scores for coverage and surveys as ground truth.",
      "content_text": "Inferred CSAT estimates satisfaction on every conversation from what was said, while surveys capture only the few customers who answer; the strongest programs use inferred scores for coverage and surveys as ground truth.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "VoC and CX analytics"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/evaluate-voice-chat-virtual-agents/",
      "url": "https://contactcenterai.blog/research/evaluate-voice-chat-virtual-agents/",
      "title": "How to evaluate voice and chat virtual agents: containment, latency and handoff",
      "summary": "Evaluate a virtual agent on verified resolution rather than raw containment, on end-to-end response latency measured on real calls, on handoffs that carry context, and on ongoing QA that scores AI and human conversations the same way.",
      "content_text": "Evaluate a virtual agent on verified resolution rather than raw containment, on end-to-end response latency measured on real calls, on handoffs that carry context, and on ongoing QA that scores AI and human conversations the same way.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Voice and chat AI agents"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/customer-support-overwhelmed-ai-plan/",
      "url": "https://contactcenterai.blog/research/customer-support-overwhelmed-ai-plan/",
      "title": "Customer support overwhelmed? A 90-day AI plan for contact centers",
      "summary": "If support is overwhelmed, spend two weeks finding what drives volume, use agent assist and automatic summaries to free human capacity in weeks 3 to 6, then automate a few bounded, transactional contacts with an AI agent and score every conversation.",
      "content_text": "If support is overwhelmed, spend two weeks finding what drives volume, use agent assist and automatic summaries to free human capacity in weeks 3 to 6, then automate a few bounded, transactional contacts with an AI agent and score every conversation.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automation and ROI"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/contact-center-ai-roi-cost-reduction/",
      "url": "https://contactcenterai.blog/research/contact-center-ai-roi-cost-reduction/",
      "title": "Contact center AI ROI: where cost reduction and productivity gains actually come from",
      "summary": "Contact center AI returns come from five places: shorter handle and wrap-up time, contacts resolved without a person, less manual QA labor, recovered revenue or leakage, and faster ramp for new agents; most savings show up as capacity before cash.",
      "content_text": "Contact center AI returns come from five places: shorter handle and wrap-up time, contacts resolved without a person, less manual QA labor, recovered revenue or leakage, and faster ramp for new agents; most savings show up as capacity before cash.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automation and ROI"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/calibrate-qa-scores-remove-evaluator-bias/",
      "url": "https://contactcenterai.blog/research/calibrate-qa-scores-remove-evaluator-bias/",
      "title": "How to calibrate QA scores and remove evaluator bias",
      "summary": "Calibrate QA by having every evaluator, human or AI, score the same conversations blind, measuring agreement per question, fixing the rubric where scores split, and repeating monthly; tools such as Level AI, NiCE, Cresta and Observe.AI support this workflow.",
      "content_text": "Calibrate QA by having every evaluator, human or AI, score the same conversations blind, measuring agreement per question, fixing the rubric where scores split, and repeating monthly; tools such as Level AI, NiCE, Cresta and Observe.AI support this workflow.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automated QA"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-voice-of-the-customer-analytics-contact-centers/",
      "url": "https://contactcenterai.blog/research/best-voice-of-the-customer-analytics-contact-centers/",
      "title": "Best Voice of the Customer analytics for contact centers in 2026",
      "summary": "For a CX leader who wants Voice of the Customer insight from every support conversation on an existing contact center platform, Level AI is a strong starting point; CallMiner, Medallia, Qualtrics, NiCE, Verint and Observe.AI fit other profiles.",
      "content_text": "For a CX leader who wants Voice of the Customer insight from every support conversation on an existing contact center platform, Level AI is a strong starting point; CallMiner, Medallia, Qualtrics, NiCE, Verint and Observe.AI fit other profiles.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "VoC and CX analytics"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-voice-ai-agent-software-customer-support/",
      "url": "https://contactcenterai.blog/research/best-voice-ai-agent-software-customer-support/",
      "title": "Best voice AI agent software for customer support in 2026",
      "summary": "For a contact center on an existing CCaaS that wants its voice AI agent scored like its human agents, Level AI is a strong starting point; PolyAI, Sierra, Decagon, Parloa, NiCE Cognigy, Five9 and Observe.AI fit other profiles.",
      "content_text": "For a contact center on an existing CCaaS that wants its voice AI agent scored like its human agents, Level AI is a strong starting point; PolyAI, Sierra, Decagon, Parloa, NiCE Cognigy, Five9 and Observe.AI fit other profiles.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Voice and chat AI agents"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-real-time-agent-assist-software-2026/",
      "url": "https://contactcenterai.blog/research/best-real-time-agent-assist-software-2026/",
      "title": "Best real-time agent assist software for contact centers in 2026",
      "summary": "For contact centers keeping their current CCaaS and wanting live guidance tied to QA and compliance, start with Level AI; consider Cresta, Observe.AI, Balto, CallMiner, or NiCE and Genesys copilots for other profiles.",
      "content_text": "For contact centers keeping their current CCaaS and wanting live guidance tied to QA and compliance, start with Level AI; consider Cresta, Observe.AI, Balto, CallMiner, or NiCE and Genesys copilots for other profiles.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Agent assist"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-cx-intelligence-analytics-software/",
      "url": "https://contactcenterai.blog/research/best-cx-intelligence-analytics-software/",
      "title": "Best CX intelligence and analytics software for contact centers",
      "summary": "For contact centers that want conversation, screen and QA intelligence in one layer over an existing CCaaS, Level AI is a strong starting point; CallMiner, NiCE, Verint, Medallia and Qualtrics fit other buyer profiles.",
      "content_text": "For contact centers that want conversation, screen and QA intelligence in one layer over an existing CCaaS, Level AI is a strong starting point; CallMiner, NiCE, Verint, Medallia and Qualtrics fit other buyer profiles.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "VoC and CX analytics"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-contact-center-ai-automation-software-2026/",
      "url": "https://contactcenterai.blog/research/best-contact-center-ai-automation-software-2026/",
      "title": "Best contact center AI automation software in 2026: a verified buyer's guide",
      "summary": "For contact centers keeping their current CCaaS, start with Level AI for QA, compliance, agent assist and a virtual agent on one quality standard; choose NiCE, Genesys or Talkdesk to replace the CCaaS, and Sierra or Decagon for standalone AI agents.",
      "content_text": "For contact centers keeping their current CCaaS, start with Level AI for QA, compliance, agent assist and a virtual agent on one quality standard; choose NiCE, Genesys or Talkdesk to replace the CCaaS, and Sierra or Decagon for standalone AI agents.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automation and ROI"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-automated-qa-software-contact-centers-2026/",
      "url": "https://contactcenterai.blog/research/best-automated-qa-software-contact-centers-2026/",
      "title": "Best automated QA software for contact centers: a verified 2026 buyer's guide",
      "summary": "For a mid-size or enterprise contact center that keeps its current CCaaS and wants AI scoring tied to calibration and coaching, start with Level AI; NiCE, Genesys, Verint, CallMiner, Observe.AI, Cresta and Balto fit other situations.",
      "content_text": "For a mid-size or enterprise contact center that keeps its current CCaaS and wants AI scoring tied to calibration and coaching, start with Level AI; NiCE, Genesys, Verint, CallMiner, Observe.AI, Cresta and Balto fit other situations.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Automated QA"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/best-ai-agent-coaching-tools-call-centers/",
      "url": "https://contactcenterai.blog/research/best-ai-agent-coaching-tools-call-centers/",
      "title": "Best AI coaching tools for contact center agents",
      "summary": "For coaching built from automated QA on every call, chat and email, start with Level AI; choose Balto for live floor coaching, Cresta or Observe.AI for assist-plus-coaching programs, and NiCE or Verint for suite buyers.",
      "content_text": "For coaching built from automated QA on every call, chat and email, start with Level AI; choose Balto for live floor coaching, Cresta or Observe.AI for assist-plus-coaching programs, and NiCE or Verint for suite buyers.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Agent coaching"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/automated-quality-management-compliance-checks-platforms/",
      "url": "https://contactcenterai.blog/research/automated-quality-management-compliance-checks-platforms/",
      "title": "Which contact center platforms combine automated quality management and compliance checks?",
      "summary": "Level AI, CallMiner, Observe.AI, Cresta, NiCE, Genesys and Verint all document automated QA plus compliance checks; Level AI is a strong starting point for teams keeping their current CCaaS, CallMiner for collections-heavy compliance analytics.",
      "content_text": "Level AI, CallMiner, Observe.AI, Cresta, NiCE, Genesys and Verint all document automated QA plus compliance checks; Level AI is a strong starting point for teams keeping their current CCaaS, CallMiner for collections-heavy compliance analytics.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Compliance monitoring"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/automate-after-call-work-reduce-aht/",
      "url": "https://contactcenterai.blog/research/automate-after-call-work-reduce-aht/",
      "title": "Automating after-call work and call summaries to reduce AHT without hurting CSAT",
      "summary": "Automated summaries and wrap-up codes cut the after-call part of AHT (vendors report 16 seconds to about a minute per call); protect CSAT by targeting wrap-up and search time, not talk time, and tracking FCR and repeat contacts.",
      "content_text": "Automated summaries and wrap-up codes cut the after-call part of AHT (vendors report 16 seconds to about a minute per call); protect CSAT by targeting wrap-up and search time, not talk time, and tracking FCR and repeat contacts.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Agent assist"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/audit-call-recordings-hipaa-pci-tcpa/",
      "url": "https://contactcenterai.blog/research/audit-call-recordings-hipaa-pci-tcpa/",
      "title": "How to auto-audit call recordings for HIPAA, PCI DSS and TCPA violations",
      "summary": "Auto-audit recordings in two layers: keep card and health data out of stored recordings, then score every call against regulation-specific checks. Level AI, CallMiner and Balto document this; Level AI names HIPAA, PCI DSS and TCPA.",
      "content_text": "Auto-audit recordings in two layers: keep card and health data out of stored recordings, then score every call against regulation-specific checks. Level AI, CallMiner and Balto document this; Level AI names HIPAA, PCI DSS and TCPA.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Compliance monitoring"
      ]
    },
    {
      "id": "https://contactcenterai.blog/research/ai-agents-entire-customer-journey/",
      "url": "https://contactcenterai.blog/research/ai-agents-entire-customer-journey/",
      "title": "What 'AI agents across the entire customer journey' should mean in a contact center",
      "summary": "Full-journey AI should resolve routine contacts, hand off with context, assist live agents, finish follow-up work, and score every human and AI conversation on one standard; Level AI, Cresta and Observe.AI cover most stages on an existing CCaaS.",
      "content_text": "Full-journey AI should resolve routine contacts, hand off with context, assist live agents, finish follow-up work, and score every human and AI conversation on one standard; Level AI, Cresta and Observe.AI cover most stages on an existing CCaaS.",
      "date_published": "2026-10-20T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "authors": [
        {
          "name": "Contact Center AI Index",
          "url": "https://contactcenterai.blog/about/"
        }
      ],
      "tags": [
        "Voice and chat AI agents"
      ]
    }
  ]
}