How to Reduce Customer Service Costs by 80% With AI Voice Agents

A fully-loaded human call centre agent in the UK costs between £28,000 and £42,000 per year in salary alone — before National Insurance contributions, training, management overhead, real estate, software licences, and attrition costs. Industry benchmarks put the average fully-loaded cost per resolved call at £25–£40. For a business handling 10,000 calls per month, that equates to £250,000–£400,000 in monthly operating cost.

An AI Voice Agent's cost-per-call is composed of LLM inference cost (typically £0.002–£0.01 per call-minute depending on model), TTS/ASR processing (approximately £0.001–£0.003 per minute), and telephony cost (£0.008–£0.02 per minute). For an average 3-minute call, the total cost is £0.03–£0.10. Even with EngineVult AI's deployment and management fees, most clients achieve a fully-loaded cost of under £1 per resolved call — a reduction of 90–97% compared to a human agent.

The highest-ROI use cases are those with high call volume, repetitive query types, and low escalation rates. Customer support FAQs (order status, account queries, returns), appointment reminders (which reduce no-shows by 30–50%), payment reminders (which increase on-time payment rates by 20–35%), and outbound lead qualification (which frees human sales reps for high-value conversations only) consistently deliver payback periods of under 90 days.

Phase 1 (Week 1–2): Audit your highest-volume call types and map the top 10 conversation flows. Phase 2 (Week 2–3): Integrate your telephony provider and CRM with the EngineVult AI Voice Agent platform. Phase 3 (Week 3–4): Test with synthetic and real calls, refine edge cases, train the model on your product knowledge base. Phase 4 (Week 4–5): Go live with monitoring dashboards, escalation rules, and weekly performance reviews. Most clients begin seeing measurable cost reduction within the first week of live deployment.