Improved, replaced, or built for you.
We design the right answer for you, whatever system it runs on.
We start with what you actually need rather than an off-the-shelf one, and tell you honestly whether what you have can be made to work. Then it gets measured like a person. On the service delivered, not the tickets deflected.
What AI in customer support actually covers
What We Offer:
The EU AI Act, in practice
Since August 2026, customer-facing AI has to say it is AI. Most support bots sit in the limited-risk category and the penalty runs to 7.5 million euros or 1% of turnover.
We build the disclosure in rather than bolting it on. If you already have AI running and nobody has checked, that is worth a call on its own.
Clean data first
Good AI starts with good data. We clean, tag and structure your support history before anything is trained on it.
This is the part vendors skip, and it is why most deployments underperform.
Handover before frustration
AI takes the repetitive volume. A person takes anything that needs judgement.
Where the line sits is agreed with you, not decided by us, and it moves as the system proves itself.
Runs in your tools
Your CRM, helpdesk, chat or voice platform. Start with one case type, measure it, then widen.
Typically live in weeks.
We measure resolution, not deflection
Deflection counts the people who gave up. Resolution counts the ones whose problem went away.
AI is held to the same four numbers as a person. Resolution time, satisfaction, recurring issues removed.
Improved, replaced, or built
The one you have can be improved. Or we find you a better fit. Or we build you your own.
It comes with managed support, or on its own.
What You Gain:
Support that never sleeps — chat, voice, and knowledge available anytime.
Agents who solve faster because they have what they need, when they need it.
Users who feel understood, not handled.
Knowledge that improves itself with every interaction.
Operations that adapt instantly to change, not weeks later.
A support system that learns, scales, and protects your brand automatically.
AI Support Solutions IS IT FOR YOU?
For companies who have bought AI for support and do not have it working.
And for companies about to buy, who would rather ask someone who runs support every day than read another vendor comparison.
If AI would make your support worse, we will say so. Some ticket mixes are not worth automating.
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Ideal for:
Companies with a support history worth learning from, and a small number of case types that repeat. -
We are not tied to one answer
We have our own AI, and three routes open to you. Improve what you have, move you to something that fits better, or build you your own.
Which one we recommend depends on your ticket mix and your data, not on what we happen to make.
Frequently Asked Questions
Do we have to tell customers they are talking to AI?
In the EU, yes. Since August 2026 customer-facing AI has to disclose that it is AI. Most support bots fall in the limited-risk category under the EU AI Act.
What is the penalty for not disclosing AI in support?
Up to 7.5 million euros or 1% of turnover for a transparency breach under the EU AI Act.
We already have a chatbot and it is not answering properly. Can it be fixed?
Usually. Most of the time the problem is the data it was trained on rather than the platform, so we clean, tag and structure the support history first and retrain against that.
Will AI replace our support team?
No. It takes the repetitive volume. People take anything that needs judgement, and where that line sits is agreed with you rather than decided by us.
How much will AI reduce our tickets?
In the cases we have run the biggest gains came from a small number of repeated case types. We would want to see your ticket mix before putting a number on it.
What data do we need to train AI for support?
Ticket history, FAQs, workflows and a sense of your tone. It does not need to be tidy. Cleaning and structuring it is the part most vendors skip and it is why most deployments underperform.
Are you tied to one AI platform?
No. We have our own, and we will also improve the one you have or move you to something that fits better. Which we recommend depends on your ticket mix and your data, not on what we happen to make.
How long does AI in support take to go live?
Weeks rather than months, starting with one case type so it can be measured before it widens.