Comparison
Voice AI vs Legacy Speech Systems
If you tried automated speech handling five years ago and abandoned it, that judgement was probably correct at the time. The technology has changed substantially, though not in every respect.
What actually changed
- Callers speak naturally instead of using keywords
- Interruptions are handled rather than ignored
- Accents and local speech are recognised better
- Context carries across the whole conversation
- Failure modes escalate instead of looping
Why the Old Systems Failed
Earlier speech systems worked by matching against a fixed grammar. The caller had to say one of a small set of expected phrases, and anything outside that set produced the familiar request to try again.
They also could not hold context. Each turn was independent, so a caller who mentioned their appointment date early had to repeat it later, which made the interaction feel like arguing with a form.
Worst of all was the failure behaviour. When recognition failed, systems typically looped, asking the same question repeatedly rather than handing over, which is what produced the widespread and reasonable dislike.
Side by Side
| Criterion | Legacy speech system | Current voice AI |
|---|---|---|
| How callers must speak | Recognised keywords only | Naturally, in their own words |
| Interruptions | Ignored or cause errors | Handled mid-sentence |
| Context across the call | Each turn independent | Carried throughout |
| Accents and local speech | Frequently poor | Substantially better, still imperfect |
| Behaviour on failure | Loops and repeats | Escalates to a person |
| Completing tasks | Routing, occasionally lookups | Bookings, updates, lookups |
| Predictability | Entirely deterministic | Probabilistic, constrained by guardrails |
| Background noise | Very poor | Better, still a real limitation |
What Has Not Been Solved
Genuine improvements
- Natural phrasing rather than fixed keywords
- Context maintained through the conversation
- Graceful handover instead of loops
- Task completion, not just routing
- Rapid reconfiguration without re-recording
Remaining limitations
- Heavy background noise still degrades accuracy
- Some dialects remain unreliable
- Output is probabilistic, not deterministic
- Unusual names and terms need explicit handling
- Genuine judgement still requires a person
Judge It by Testing It
The only reliable assessment is your own. Call the system, interrupt it, change your mind halfway through, mumble, and ask something outside its scope. How it fails tells you more than how it succeeds.
Have someone with a strong accent try it, and someone elderly, and someone calling from a noisy street. Those are the conditions where the difference between adequate and genuinely good becomes visible.
Language-specific testing is covered under multilingual call handling, and escalation behaviour under emergency escalation.
Questions People Ask
We tried this before and it was terrible. Has it changed?
Substantially, particularly in natural phrasing and failure handling. Test it rather than taking our word for it.
Will it understand Singaporean accents?
Considerably better than older systems, though not perfectly. We test against your actual callers before committing.
Is it deterministic?
No, and that matters in some regulated contexts. Guardrails constrain behaviour, but it is not a fixed decision tree.
What happens in a noisy environment?
Accuracy drops. The flow is configured to escalate rather than guess when confidence is low.
Should we replace our existing IVR?
Depends on how well it performs. That comparison is on the IVR page.
Try to Break It
Interrupt it, mumble, change your mind. We would rather you find the limits during a demonstration than afterwards.