What's Next
|
Customer Service Automation

Answer every ticket in seconds, not hours.

AI reads each incoming email or chat, drafts or sends an on-brand reply, and escalates only the cases that genuinely need a human.

support-agent · live
inside your helpdesk
ticket“Where is my order #4821?”
agentreads order API · out for delivery
agentreplies in customer’s language
✓ resolved · 1.4s
StatusLiveAuto-resolved~80%Escalationon doubt
The problem

Support cost scales with every ticket.

Repetitive questions eat the day

Order status, returns and how-tos are 80% of volume and 100% manual.

Response times slip

Queues build over weekends and peaks, and CSAT drops with them.

Off-the-shelf bots stop at the FAQ

They deflect simple questions but can’t act inside your systems.

What it does

Replies that actually resolve.

01

Reads & understands

Classifies intent and sentiment on every incoming email or chat.

02

Drafts or sends

Writes an on-brand reply: auto-send the easy ones, draft the rest for approval.

03

Acts in your systems

Looks up orders, processes returns and pulls invoices inside your real tools.

How we work

Live in weeks, not quarters.

  1. 01

    DiscoveryWeek 1

    We map your workflow on your real data and pick the highest-ROI use case to ship first.

  2. 02

    DesignWeek 1–2

    We design the agent around your tools and guardrails, and prove it on a working prototype.

  3. 03

    BuildWeek 2–4

    We build it as real engineering: integrated, tested, with logging and human escalation.

  4. 04

    Launch & ownOngoing

    We deploy into your stack, hand over the code and docs, and tune it live with your team.

The impact

The inbox that ran your team, handled.

Order status
Manual lookups across systems
Answered automatically from your data
Returns & refunds
Several manual steps each
Processed and confirmed in one reply
Peak volume
Queues and slow replies
Cleared in seconds, around the clock
The results

From hours to seconds.

typical-results
Typical
What good looks like
80%

auto-resolved

24/7

coverage

11

languages

30s

to first reply

Questions

Frequently asked questions

Does it work with our helpdesk?

Yes. Zendesk, Intercom, Trengo, Gorgias and plain email all plug in, and the agent works inside them rather than asking your team to learn a new tool. It reads incoming tickets, drafts or sends replies, and leaves a clear trail in the same inbox your agents already use. Tickets it escalates land back in the normal queue with context attached.

What about wrong answers?

We put hard guardrails in place: it answers only from your approved knowledge and order data, never exposes raw system data, and escalates to a human the moment it is uncertain rather than guessing. It also always replies in the customer language. In practice this means it is conservative by design, so a missed answer becomes a handoff, not a wrong answer sent to your customer.

Can it auto-send, or only draft replies?

That is your call, set per topic. Most clients start with the agent drafting replies for an agent to approve, then switch the categories they trust, like order status or returns, to fully automatic. You can tighten or loosen this at any time as confidence grows, and keep sensitive topics in draft mode permanently.

How is this different from a chatbot?

A chatbot deflects people to an FAQ or a search box and leaves the actual work to your team. This agent resolves the ticket end-to-end: it reads the real question, looks up the order or account in your systems, takes the action, and replies. The customer gets a resolution, not a link, and only the genuinely complex cases reach a human.

How does it handle our specific products and policies?

It is grounded in your own help docs, return policy, product data and past ticket history, so it answers the way your team would, not with generic advice. During setup we feed it your real content and tune its tone to your brand. As your policies change, we update the source material and the answers follow.

Is customer data handled safely and GDPR-compliant?

Yes. It runs on trusted EU or US infrastructure with access controls and full logging, and it only touches the customer data needed to resolve a given ticket. We do not train public models on your conversations. We document the data flows so your DPO or legal team can sign off before go-live.

How long until it is live and how much can it really handle?

A first version handling your highest-volume ticket types is usually live within 2–4 weeks, and we expand coverage from there. In production it typically resolves around 80% of routine tickets automatically, with reply times in seconds instead of hours. The exact share depends on your mix, which we estimate from a sample of your real tickets on the first call.

Axel Dekker, founder of What's Next

Cut response time to seconds.

See how much of your support an AI agent can handle, in a free 30-minute call.