Voice AI proposal · Delhaize Customer Support

The voice layer that pays for itself.

Cutting ramp time and attrition by taking the repetitive calls off your team — best-in-class voice, as a neutral layer on top of what you already run.

01 · Introductions
Daniël Schaart

Daniël Schaart

ElevenLabs — Enterprise Account Executive

I did my homework before this session. What follows is built specifically for Delhaize's Belgian CS operation — the numbers, the languages, the agents. Everything on this page is live: you can talk to both agents, and stress-test the business case in real time.

02 · Understanding · Where it hurts

Two numbers you told us cost real money.

52 days
for a new support agent to reach productivity
15%
of CS agents leave before their first year is out

Every AI vendor breaks at the same point: the moment a customer asks something real, the agent sounds robotic, stutters, or stalls. On a phone call, that's exactly where the business case collapses.

03 · The fix

We solve the quality layer.

Best-in-class voice, as a neutral layer on top of what you already run.

Sub-second latency, real-time

State-of-the-art turn-taking — it understands pauses and "ums" instead of talking over people.

70+ languages, auto-detected

Dutch, French and English switched mid-conversation, no manual config. Built for a bilingual Belgium.

Neutral layer, no rip-and-replace

We sit on top of Genesys, Salesforce, or whatever you run today. No lock-in.

Proof · It's not theoretical

Regulated, high-volume brands already run us.

Revolut resolves customer queries faster with our agents
35M
Klarna customers served by us as first-line phone support

Retail runs on peaks. Black Friday triples your volume — you can't hire 100 agents who ramp in 52 days. A voice layer breathes with the volume.

Under the hood

Enterprise-ready, not a demo toy.

Quality & latency

Sub-second turn-taking model — natural, not robotic.

Languages

70+ with automatic in-conversation detection.

Knowledge — integrated RAG

Pulls live from Delhaize's own knowledge base. No hallucination.

Compliance

SOC 2 Type II · ISO 27001 · GDPR · EU data residency · Zero-Retention.

Deployment

Full inbound + outbound telephony, SIP trunking, fits your stack.

Scale

Built for hundreds of concurrent calls, reliably.

How we fit

On top of your stack. Not instead of it.

The answer to every platform objection: coexistence, not migration.

ElevenLabs — voice & conversation layer
Natural voice, 70+ languages, RAG, turn-taking. The one thing that makes agents work on the phone.
Your platform
Genesys · Salesforce Service Cloud · your CCaaS
Your systems of record
Order data · CRM · knowledge base
04 · Live demo

The quality carrying all of this.

Three Delhaize agents I built in ElevenLabs. Pick one below — then hit Start conversation.

Disclaimer: for demo purposes these agents speak English instead of Dutch (Flemish) or French. Production agents run natively in NL and FR with mid-call auto-switch.
Lisa
Lisa
Customer Service Agent
Live

Handles order tracking, faulty-product returns, and store hours — in Dutch or French, switching mid-call.

  • Order tracking with getOrderStatus
  • Faulty return → refund + replacement via processReturn
  • Store hours via getStoreHours
Model
GPT-4o · v2 turn-taking
Languages
NL · FR (auto-switch)
"Hi, you're speaking with Lisa from Delhaize. How can I help you today?"
05 · Business case · live

Two effects, one payback.

Move the sliders. The numbers update in real time — we'll drop your actual figures in during discovery.

Assumptions
Delhaize CS baseline
Share of calls that are FAQ-like (order status, delivery slots, product info). Voice AI can resolve ~90% of these end-to-end — suggested deflection ceiling ≈ 63%.
Replacements + growth. Sam shortens ramp time for every new hire. Defaults to ~15% of the headcount as a starting point.
Platform pricing

LLM tokens billed on top of voice minutes. Telephony billed separately.

Net annual impact
1.689.705
2.033.853 gross savings − €344.148 ElevenLabs platform cost · 4.9× ROI
Calls deflected / yr
798.600
of 1.452.000 total
New AHT
204s
was 240s
Ramp time
21 days
was 52 days
Attrition rate
10.0%
was 15%
Ramp savings
€84.240
faster time-to-productivity
Attrition savings
€81.675
5.9 FTE retained
ElevenLabs platform cost
Enterprise subscription · 484.000 AI minutes / month
344.148
per year
Voice platform (minutes)321.706
LLM inference ($0.0042/min)22.442
Where the savings come from
Call volume · deflection + AHT1.867.938
Ramp time · Sam onboarding coach84.240
Attrition · retention lift81.675
Where we're different

Same question, different center of gravity.

OpenAI

Powerful generic model, but a developer toolkit — not an enterprise contact-center platform. Telephony, compliance and RAG you build yourself.

We ship the whole layer, production-ready.
Sierra

Strong CX agents, but a full-stack platform that pulls you toward their way of working.

We're the neutral voice layer — you keep your stack.
Parloa

Solid contact-center player. The differentiator stays voice quality and latency under pressure.

Plus 70+ languages with live detection for a bilingual Belgium.
Next steps

Prove it on your calls.

01

A 4-week paid pilot on one call type — order tracking, 500 live calls.

02

Success criteria agreed up front — containment measured on your own data.

03

Follow-up with your IT team to lock the integration scope.

Stan — does this take real load off your team? Ale — does it change your onboarding? Robin — does the business case hold?

Let's make Delhaize's phone line sound human.

Daniël Schaart · ElevenLabs — Enterprise Account Executive