Customer conversations flow from every channel into the Mevrik AI workforce. Complex decisions escalate to human supervisors, every action is recorded in Trace, and each resolution improves the knowledge base.
AX vs Traditional CXTwo operating models.
Two operating models.
Only one scales.
A direct comparison of traditional human-led CX and the Agentic Experience model — across cost, scale, availability, consistency, and the metrics that boards actually care about.
| Dimension | Traditional CX | Mevrik AX |
|---|---|---|
| Who resolves conversations | Humans — agents handle every interaction end-to-end | AI resolves · humans supervise exceptions |
| Scale | Linear: double volume → double headcount | Exponential: volume can grow 10× with no additional agents |
| Availability | Operating hours only — typically 9am to 8pm | 24/7/365 — every channel, any timezone, any language |
| Consistency | Varies by agent, shift, mood, and training recency | Identical quality on interaction 1 and interaction 10 million |
| Cost per interaction | £7–£15 per phone call · £4–£8 per chat | £0.15–£0.80 per AI-resolved interaction |
| Speed to resolution | Avg 8–14 minutes on phone · 5–11 minutes on chat | Under 90 seconds for tier-1 · immediate for status queries |
| Multilingual support | Requires specialist agents per language — expensive | 130+ languages from a single deployment, no extra cost |
| Knowledge consistency | Training refresh cycles — agents use stale knowledge | Knowledge base updates propagate instantly across all agents |
| Proactive outreach | Manual campaigns — limited capacity | AI initiates: renewal reminders, churn saves, follow-ups at scale |
| Auditability | Call recordings · spot-check QA — incomplete coverage | 100% of interactions logged in Trace — token-level audit trail |
| Human involvement | Required for every interaction | Required only for genuinely complex or high-risk cases |
| Capital investment | Seats, telephony hardware, training overhead | Subscription — no per-seat constraint on AI agents |
The bottom line
The maths of the operating model shift.
85%
of tier-1 CX volume is AI-resolvable from day one
£7–£15
saved per interaction shifted from phone to AI
10×
volume capacity increase with no additional headcount
< 90s
average resolution time for standard queries
Customer conversations flow from every channel into the Mevrik AI workforce. Complex decisions escalate to human supervisors, every action is recorded in Trace, and each resolution improves the knowledge base.
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