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    AI Call Scoring Software

    AI That Scores Every Call.
    Consistently. At Scale.

    AI call scoring replaces the inconsistent, slow, sample-based manual QA model with automated analysis that covers 100% of calls — scored the same way, every time, with coaching feedback generated automatically.

    Request a DemoTry It Free

    Why AI Scoring Outperforms Manual QA

    The math problem at the core of every call center QA program

    Manual QA

    • • 1 QA manager covers 3–5% of calls
    • • 10–20 point scoring variance between reviewers
    • • Coaching feedback delayed days or weeks
    • • Systematic patterns invisible in small samples
    • • Compliance coverage depends on what gets sampled

    AI Scoring

    • • 100% of calls scored automatically
    • • Same rubric applied identically on every call
    • • Coaching notes generated quickly after each call
    • • Trends visible across full call population
    • • Compliance checked on every call, not samples

    How AI Call Scoring Works

    1

    Call is recorded and transcribed

    Every call is captured and transcribed by the AI with speaker-separated accuracy — distinguishing agent from customer, identifying pauses, and capturing tone signals alongside the words.

    2

    Rubric criteria are evaluated

    The transcript is run against your custom scoring rubric — greeting compliance, active listening, problem resolution, empathy signals, required disclosures, professional close. Each criterion is scored independently.

    3

    Score is computed and explained

    A composite score is calculated from the criterion weights you defined. Every scored criterion includes an explanation — what the AI found, what language triggered the decision, what was missing.

    4

    Coaching feedback is generated

    If the call falls below your threshold, a coaching note is generated automatically — specific to the call, specific to the failure, and actionable. Managers get an actionable agenda; agents get clear feedback.

    5

    Signals are aggregated into trends

    Individual scores feed team-level dashboards, agent ranking views, coaching theme reports, and churn risk alerts. Patterns visible only across hundreds of calls surface automatically.

    What Gets Scored: Common Rubric Criteria

    Your rubric defines the criteria. These are the most common scoring dimensions across the call center types we work with — each one configured by your admin team to match your call type, compliance requirements, and performance standards.

    Greeting Compliance

    Did the agent open with the required brand greeting, state their name, and offer assistance in the correct sequence? Missing elements are flagged with a verbatim excerpt from the call.

    Empathy Signals

    Did the agent acknowledge the customer's situation before jumping to resolution? Phrases that demonstrate active listening versus those that rush past frustration are identified and weighted.

    Problem Resolution

    Was the customer's stated issue actually resolved before the call ended? The AI checks for resolution confirmation language and flags calls that ended without confirmed resolution.

    Required Disclosures

    For regulated call types — collections, insurance, financial services — the AI checks for mandatory phrases and flags omissions. Every call, not just the ones that get reviewed.

    Professional Close

    Did the agent confirm next steps, offer further assistance, and close with the required sign-off? A rushed or incomplete close is one of the most commonly missed criteria in manual QA.

    What to Look for in AI Call Scoring Software

    Consistent Scoring

    Every call is scored the same way — no evaluator fatigue, no personal bias, no disagreement between QA managers about what the rubric means. The same call scored twice gets the same score.

    Scored in Minutes, Not Days

    Manual QA creates a backlog. AI scoring runs in the background — by the time a manager opens a dashboard the next morning, every call from the previous day is already scored.

    100% Coverage by Default

    Manual reviewers sample 3–5% of calls. AI scoring covers 100%. The coaching opportunities, compliance gaps, and churn signals hiding in the other 95% are no longer invisible.

    Compliance on Every Call

    Define the required disclosures, scripts, or language for your call type. The system checks every call and flags violations — not the sample that happened to get reviewed this week.

    Churn Risk Detection

    Beyond scoring, Call Coach IQ reads calls for retention signals — specific language patterns that predict customer cancellation before it happens. At-risk customers are flagged in real time.

    Auto-Generated Coaching Notes

    When a call falls below threshold, a coaching note is generated automatically — what happened, why it cost points, what the agent should do differently. Coaching happens even when managers are busy.

    When AI Scoring Matters Most

    Collections & FDCPA Compliance

    Collections calls carry legal disclosure requirements on every interaction. AI scoring checks every call for mini-Miranda compliance, prohibited language, and required identity verification. A manual QA team sampling 5% of calls leaves 95% of potential FDCPA exposure invisible.

    Insurance

    Insurance agents must follow specific scripts, offer required options, and avoid unauthorized product recommendations. AI scoring applies these criteria identically across inbound service, renewals, and outbound retention calls — without the variability that comes from different QA reviewers interpreting the rubric differently.

    SaaS Technical Support

    Churn risk is a first-order concern for SaaS support teams. A customer calling about a technical problem is already at risk — how the agent handles the interaction determines whether that customer renews. AI scoring flags calls with cancellation language, measures resolution quality, and identifies which agents are retaining customers through difficult interactions.

    AI Call Scoring vs. Manual QA

    DimensionManual QAAI Scoring
    Call coverage3–5%100%
    Score consistencyVaries by reviewerIdentical rubric every time
    Feedback speed3–14 daysRapid turnaround
    Compliance coverageSample-dependentEvery call
    Churn signal detectionRarely surfacedReal-time flagging
    Coaching at scaleManager-gatedAuto-generated per call
    Cost to add coverageAdd QA headcountNo marginal cost

    Frequently Asked Questions

    How accurate is the AI scoring?

    AI scoring does not produce false certainty — every scored criterion includes the evidence the AI used to reach its decision. When you see the explanation alongside the score, you can evaluate whether the AI's reading matches your judgment. Most teams find the AI agrees with experienced QA reviewers at a rate that meets or exceeds inter-rater agreement between human evaluators.

    Can I customize the rubric for my specific call type?

    Yes. Admins define the criteria, the weights, and the scoring thresholds. You can configure entirely different rubrics for inbound service calls, outbound retention calls, collections calls, and warm transfer intake calls — and apply the right rubric to each call type automatically.

    What happens when an agent disputes a score?

    Agents can challenge any score from the call detail screen. The dispute enters a review queue where managers can listen to the call, read the AI explanation, and resolve the dispute with a written response. The full exchange is logged for audit purposes. No other platform at any price point has this workflow built in.

    Does it integrate with my existing telephony system?

    Call Coach IQ processes call recordings — any system that produces a recording can be connected. The platform accepts uploads directly or via API. Specific integrations depend on your telephony provider; contact us before your demo and we will confirm compatibility.

    How is AI scoring priced?

    Pricing is per agent per month — not per call scored. There is no per-call fee and no cap on scoring volume. The Starter plan starts at $65 per agent per month and includes full AI scoring, custom rubrics, and compliance checking.

    Want to understand the scoring framework? Read: How to Score Call Center Agents Fairly →

    See AI Scoring on Your Calls

    Book a 30-minute demo. We will configure a rubric for your call type and run a real call through the AI — so you see scored results, not a slide deck.

    Request a Demo

    No seat minimums. No long-term contract required. Up and running in 1 business day.

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