Your next customer contact may come from an AI agent. Is your support ready?

Personal AI agents will soon handle orders, returns and complaints on behalf of your customers. We make sure they get a clear answer, and that people handle what machines should not.
  • Native speakers in 8 languages
  • 98.5% CSAT
  • Under 3% agent turnover
  • 24/7 across all channels
  • Real‑time client dashboard

What is changing

Customers are starting to delegate routine tasks to personal AI agents, and those agents will contact companies directly.

01

Agents skip the queue

They check an order, start a return or dispute a charge through structured channels, with no phone menu, chat widget or waiting time.
02

Trust becomes the hard part

Your team must know who the agent acts for, what it is allowed to ask, and when a request looks like fraud.
03

People still matter

Damaged goods, disputes and upset customers need judgement, the right language and a human tone.

Shops already offer the building blocks: Shopify, for example, provides an MCP server that lets a signed-in customer's AI assistant track orders and manage returns. The question for your business is who answers when an agent calls, and under which rules.

Where this is heading

It is likely that customers will let their AI agents buy for them and also ask for returns and refunds. Shared standards for agentic commerce are being developed, so agents will increasingly find and transact with shops without the customer setting anything up. This is moving quickly.

For merchants, three things follow. Return and refund requests will arrive faster and more consistently, because agents know your policy and your customers' rights. Your rules for what is approved automatically, and what is checked, will matter more than ever. And when a request is disputed, a clear record of what the customer authorised becomes important evidence. Whatever the technology, exceptions will still need a person who can judge the case and speak the customer's language.

Try it with Claude, ChatGPT or Gemini

See what an agent-ready contact looks like. Add our demo connector to Claude once, then ask Claude to request a quote or book an intro call with Digital Customer Care Company. It takes a minute, and it shows how an AI agent can reach a business directly.

Agent-ready support from us

We prepare your support for AI-agent contacts in four steps, and we run the human side ourselves.

You keep control of the rules. We provide the people and the process behind them.

01

Agent-Readiness Audit

We test what a customer's AI agent can and cannot do with your shop today: order status, returns, address changes, refunds. You receive a short report with gaps ranked by impact.

02

Agent-facing front door

A clear, secure way for agents to reach you, built on your existing shop and logistics systems, with a defined list of actions they may perform. This can be a structured interface such as an MCP server, or the channels you already use: email, chat and web forms.

03

Rules and safeguards

You decide what is approved automatically and what is escalated: refund limits, identity checks, rate limits and fraud signals for agent traffic.

04

Human exception desk

Our multilingual team, in English, Dutch, German, French, Spanish, Italian and Portuguese, handles every case the rules escalate, 24/7, with a clear service level.

How we start

We start small, with a pilot you can stop at any point.

Audit, pilot design, pilot run, and review
StepWhat happensTiming
AuditWe test your shop and support flows from an agent's point of view and report the gapsA few working days
Pilot designWe agree the actions, rules and escalation paths for a limited scopeA few weeks
Pilot runAgent contacts that fail your rules reach our exception deskA few months
ReviewWe assess volumes, fraud signals and costs, then decide together on scalingEnd of pilot

The audit is a fixed fee, quoted after scoping. Ongoing support starts from €1,500 per month, with exception handling priced on volume. We do not offer answering-only services.

What is agent-ready customer support?
It is customer support prepared for contacts that come from a customer's AI agent instead of the customer. The company offers a secure, structured way for agents to ask questions and request actions, sets rules for what is allowed, and keeps people available for the cases that need judgement.
Can an AI agent contact customer service on my behalf?
Yes, in principle. Agents can already use structured interfaces such as MCP servers, which some e-commerce platforms offer, to check orders and manage returns for a signed-in customer. How widely companies support this is still developing.
What is MCP?
The Model Context Protocol is an open standard that lets AI applications discover and use tools and data in other systems. For customer support, it lets an agent perform actions such as looking up an order or starting a return.
Is this already happening at scale?
Not yet. Adoption is early, which is why we start with an audit and a small pilot rather than a large rollout.
How do you prevent fraud and misuse by agents?
With identity checks, limits on what an agent may do, rate limits and escalation of unusual requests to our team. You set the rules and we apply them consistently.
Does this replace our current support team or provider?
No. It adds a channel. Routine requests can be resolved by rules, and exceptions go to people, whether that is your own team or ours.
Which languages do you cover?
English, Dutch, German, French, Spanish, Italian and Portuguese, 24/7.
What does it cost?
The audit is a fixed fee, quoted after scoping. Ongoing support starts from €1,500 per month, and we agree the exception-handling volume with you during the pilot.

Find out how ready your support is

Book an Agent-Readiness Audit and we will show you what a customer's AI agent can and cannot do with your business today.
No obligations. No sales pitch. Just a straight conversation.

Audit and pilot — no large rollout required · Serving ecommerce brands since 2014