FastAMD

Answering machine detection, without compromise.

Ultra-fast, template-based AMD that transforms interviewer productivity — while staying compliant and imperceptible to respondents.

Why traditional AMD falls short

Cadence-based AMD is a “best guess” technology.

Typical false positive rates can be around 5% — live respondents incorrectly classified as answering machines. In regulated markets, that’s not just inefficient. It can be risky.

To stay compliant, predictive diallers often have to:

  • Reduce overdial rates
  • Limit algorithm efficiency
  • Accept lower agent productivity

Historically, predictive dialling and AMD didn’t combine well. FastAMD changes that.

How answering machines consume interviewer time

Waiting time

Time spent waiting to detect an answer.

Connected time

Listening to recorded messages.

Wrap time

Post-call tasks and dispositioning.

How does this sound?

Detection in 0.4 seconds. Yes, 0.4 seconds.

  1. Template-based detection

    A library of digital templates, derived from voicemail introductions across major PSTN and mobile carriers — including call screening messages — is matched against the first fractions of a second of audio in real time.

  2. Microsecond processing

    Matching happens in microseconds, with an average detection time of approximately 0.4 seconds from call start.

  3. Imperceptible to respondents

    No noticeable lag or “dead air” to alert live respondents to autodialling — reducing hostility and drop risk.

Near-zero false positives

Not a probability guess. Near-absolute certainty.

FastAMD’s template-matching architecture results in an effectively negligible false positive rate — approximately 2–30 in a billion.

  • Live respondents are not misclassified
  • Silent call risk is dramatically reduced
  • Predictive dialling can operate safely at higher efficiency

In regulated environments, this difference is critical.

Rows of empty interviewer workstations
Proven performance impact

FastAMD delivers measurable operational gains.

33%Increased agent talk time

Agents spent significantly more time actively speaking with respondents.

15.7%Higher live-talk ratio

A greater proportion of agent time is spent engaging with live respondents.

50%More live calls per hour

Agents handled substantially more live calls per interviewer hour.

20%More completes per hour

Completed surveys per interviewer hour increased dramatically.

40%Reduced campaign duration

Campaigns would have run over 40% longer without FastAMD handling answering machines.

49%More live engagement, combined

Overall productive live engagement time increased by nearly half through combined efficiency gains.

Why is our FastAMD different?

Performance and compliance, aligned.

Designed for predictive dialling

FastAMD was built to work with predictive algorithms — not against them. When false positives are effectively eliminated:

  • Compliance thresholds remain protected
  • Abandon rates stay controlled
  • Dialler pacing can optimise safely

Enterprise-ready infrastructure

High-speed detection meets enterprise-grade hosting. FastAMD runs within:

Why this matters operationally

Higher talk time, without increased abandon risk.

By removing answering machines before they reach agents, FastAMD:

Reduces wasted interviewer capacity

Allows safe increases in overdial rates

Improves cost per complete

Shortens fieldwork timelines

It doesn’t just filter calls — it restructures efficiency.

Turn answering machines from a productivity drain into a competitive advantage.

Hear FastAMD in action on a demo call.