Solutions/Customer Support & Retention
Support that answers first and keeps customers longer.
AI agents sort every request, answer the routine ones from your own knowledge, and draft the rest for your team. The signals that a customer is drifting reach the right person in time to act.
What changes
Faster answers, fewer customers lost.
The queue is sorted before anyone opens it.
Each request is read, tagged, prioritised and routed, with the customer's history attached.
Routine questions are answered.
Order status, account changes and how-to questions are answered from your systems and your knowledge base.
Your team writes less and solves more.
Harder cases arrive with a drafted reply and the facts gathered, ready to check and send.
Drift is caught early.
Falling usage, repeat complaints and quiet accounts are raised with the account owner while there is time to act.
What we build
- Support triage and drafted replies
- Order and account self-service
- Refund and returns handling
- Churn risk alerts
How Clearmatic OS builds it.
Every system rests on the same five layers. Here is what each one means for this work.
- 05
People
Your team handles complaints, judgement calls and the customers who need a person.
- 04
Agents
Agents that sort, answer, draft and watch for risk, each within the limits you set.
- 03
Context and rules
Your service policies, refund limits, tone of voice and the answers you've approved.
- 02
Process map
How a request is handled today, including the escalations and the exceptions.
- 01
Your systems
Your help desk, order system, CRM, product data and knowledge base.
- How Clearmatic OS keeps every agent governed
Where it runs.
The same system serves the teams that share the work, from the same map and the same rules.
Guides for this work.
All insights- Guide
Guide
Did it pay?
One measure, before and after
How do you measure the ROI of an AI project?
Pick one measure, read it before anything is built and again after launch, the same way. What to count on each side, and what to do if it doesn't move.
- Guide
Guide
Team adoption
Make the new way the easy way
How do you get your team to use a new AI system?
Whether your team uses an AI system is mostly decided before launch. How to choose the work, build it with them and make the new way the easy way.
Questions
Questions we hear first.
Will it answer customers on its own?
Only for the questions you choose, such as order status. Everything else is drafted for your team to check, and you can widen what it sends once you've seen it work.
What if the answer isn't in our knowledge base?
It says so and hands the request to a person, rather than guessing. Those gaps are listed, so your team can fill them.
Does it work with our help desk?
Usually, yes. We connect through the options your help desk already offers and check them before we propose an approach.
Make your business AI-native.
Start with a short call about where your team's hours go and what you want to change.