Don’t let Monday start with a pile.
In one minute: what piles up over the weekend, and how to have an empty queue by Monday noon.
See the methodology Not ready to talk? Run the 2-minute simulator
Read the transcript1 min read +
Friday, six p.m. Your team goes home. The requests don't stop.
By Monday at nine, a hundred and sixty-three are waiting. At noon, thirty-eight still are.
Sixty percent are simple: where is my order, send me the invoice again, when is the technician coming.
An AI agent answers those through the weekend, and hands the complex ones to your people, file ready, on Monday.
Monday, nine a.m.: ninety-six waiting instead of a hundred and sixty-three, and the queue is empty by noon. Seventy-four percent of customers now expect service around the clock.
Let's look at your weekend together. Pick thirty minutes that suit you.
AI voice · Captions onCredits
Music: “Marty Gots a Plan” — Kevin MacLeod (incompetech.com), licensed under Creative Commons: By Attribution 4.0. Voice: Chanon Asarisi (AI-cloned with consent).
- 74 %of consumers expect customer service to be available 24/7Zendesk CX Trends 2026
- 30 %of service cases are already handled by AI, 50 % expected by 2027Salesforce State of Service 2025
- 90 %of French customers would rather wait for a human than talk to a virtual agentIpsos bva 2025
Your customers write all weekend. Your team finds it all on Monday. That’s the problem.
requests waiting on Monday at 9 a.m. — 38 still there at noon.
Sixty percent of them are simple: where is my order, send me the invoice again, when is the technician coming.
requests waiting at 9 a.m. — the queue is empty by noon.
The AI agent answers the simple requests through the weekend and hands the complex ones to your people, file ready, on Monday.
Illustrative weekend, as in the video and the simulator. Run the simulator with your own monthly volume, share of simple requests and team.
A weekend plan you can start with — with or without us.
- 01
What lands between Friday and Monday
Your weekend requests sorted by type, from your own helpdesk data.
- 02
The shortlist for an AI agent
Which requests it can resolve on its own, and which it should hand over.
- 03
The Monday file
What your team should receive for every handed-over request, so Monday starts with answers, not reading.
Built for the people who face Monday morning.
- Customer service
Head of Customer Service
Start the week with a clear queue instead of a backlog.
- Orders & after-sales
Order management & after-sales
Answer order-status and invoice requests the moment they arrive, even on Sunday.
- Field service
Field service manager
Let customers check their technician visit without waiting for Monday.
- Digital & CX
CX or digital lead
Choose the first use cases for an AI agent on evidence, not on a demo.
Let’s look at your weekend together.
30 minutes with Chanon Asarisi, no commitment. You leave with the list of requests an AI agent could take on first — and the ones that stay with your people.
- 0–10 minWhat lands in your queue between Friday night and Monday morning
- 10–20 minWhich requests an AI agent can resolve on its own — and which it should hand over
- 20–30 minWhat your team should receive on Monday: the file, ready
- No commitment
- No slide deck
- You keep the plan
Run the 2-minute simulator
Your monthly volume, your share of simple requests, your team — and how many requests would still be waiting on Monday morning.
Fair questions.
Which requests can an AI agent handle alone?
The simple, repetitive ones your data can answer: order status, delivery dates, invoice copies, appointment times. Anything sensitive or complex is handed over.
Will customers accept an AI agent?
Most expect service around the clock — 74 % in the Zendesk CX Trends 2026 study — and a person must always remain reachable. The plan keeps both.
Do we need a new tool?
Not necessarily. Many helpdesks and CRMs include an AI agent. We start from what you have and tell you what is missing.
We’re a small team. Is it worth it?
Often more so: the smaller the team, the bigger the Monday pile is relative to it.
Is this a sales call?
It’s a working session. You leave with a plan you can run on your own. If you want help putting it in place, we can talk about that separately.
Who is Quantum Growth Advisory?
A consultancy for customer service and sales teams, working on CRM, data and AI across HubSpot, Salesforce and Monday.
Meet your peers on November 25th in Paris.
One evening for customer service, CRM and commercial excellence leaders. Four workshops, including one on the KPIs that prove service performance (NPS, CSAT, resolution rate) — with or without AI.
- When
- Wednesday, November 25th · 6:30 pm – 9:30 pm
- Where
- Salons Hoche · 8 avenue Hoche, 75008 Paris
- Format
- 30 seats · 4 workshops · networking
- ZendeskCX Trends 2026 — 11,000+ consumers and business leaders, 22 countries
- SalesforceState of Service, 7th edition (2025) — 6,500 service professionals, 39 countries
- Ipsos bva / ESCDAObservatoire des Services Clients 2025 — 1,000 French adults
- Illustrative exampleThe weekend shown in the video and the simulator: 163 requests at 9 a.m., 96 with an AI agent. Not a client result.
