I've been building in the AI voice space for a while, and one question keeps coming up from small business owners: "Should I stick with my answering service or try AI?"
Here's an honest breakdown from a technical perspective.
Architecture Differences
Traditional BPO: Phone system → PSTN → call centre ACD → human agent → CRM update (manual)
AI Answering: Phone system → SIP/PSTN → speech-to-text (real-time) → LLM intent + response → text-to-speech → caller hears response. All under 800ms latency.
The AI path is fully automated. No queue, no hold time, no agent availability issues.
Where the Tech Actually Stands in 2026
Real-time speech-to-text accuracy is now 95%+ for clear English calls. Accented speech and noisy environments bring it down to ~88-92%, which is honestly good enough for appointment booking and order taking.
The bottleneck isn't STT anymore — it's latency. Users notice if there's more than ~1.2s pause after they finish speaking. Modern pipelines (streaming STT → streaming LLM → streaming TTS) keep this under 800ms most of the time.
Cost Structure
BPO: ~€8-12 per call handled (blended rate)
AI: ~€0.05-0.15 per call (compute + telephony)
That's not a typo. The per-call cost difference is 50-100x.
The Honest Limitations
- Edge cases destroy trust. One badly handled call and the business owner pulls the plug. Fallback-to-human is essential.
- Integration depth matters. An AI agent that can't actually book into the calendar or POS is just a fancy voicemail.
- Compliance. GDPR call recording consent, data residency — all need handling.
What I'd Build Today
If you're a dev thinking about this space: start with a single vertical (dental, restaurants, trades). Generic "AI receptionist" is a crowded pitch. Vertical-specific means you can nail the prompts, integrations, and edge cases.
Disclosure: I work on VoiceFleet, which does this for dental practices and restaurants. Biased, but the technical analysis above applies to the whole space.
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