Most customer questions are simple: where’s my order, what’s my balance, how do I reset my password. Others need someone who can listen, think and make a call. Our AI-enabled contact center services combine the two. Automation takes care of the routine, and trained people take over the moment a conversation needs judgement or empathy.
Radical Minds publishes conversational AI and chatbot service information. The availability of AI voice agents, agent assist or automated quality analysis for a particular programme requires a demonstration and implementation assessment; a published product description is not proof of a production deployment.
AI voice agents handle repetitive calls like order status or appointment reminders. Before any customer hears one, we test how it copes with interruptions, unclear questions and handing over to a person.
While agents talk to customers, AI pulls up the right information, suggests replies and writes call summaries. The agent always checks before acting on it.
AI listens to far more calls than a QA team ever could and flags the ones worth reviewing. Our quality team checks what it flags, and what it misses, so the scores stay honest.
Before anything goes live, we agree two things with you: when the AI hands a customer to a person, and what information it’s allowed to use.
That way customers don’t get stuck with a bot, and your data stays where you want it.
We decide upfront when the AI has to stop: if it can’t verify who’s calling, doesn’t know the answer, keeps misunderstanding, or hears a complaint. The customer then moves to a person, with the full conversation passed along. Nobody gets stuck going round in circles with a bot.
Before testing, you approve what data the AI can see, how long it’s kept, which tools are used and what actions it can take. A suggestion from AI is never treated as an approved action. We monitor everything, and if a workflow isn’t working, we can switch it off without losing a single customer case.
We never switch AI on everywhere at once. It starts on one type of customer request, with people ready to step in.
It only goes further once the results beat your current numbers.
We pick one customer journey, test the AI on real scenarios and check security and integration with your team. Then we roll it out for that journey with people on standby. If the results beat your current numbers, we expand. If not, we fix it or stop.
Every result we report comes with the time period, the sample size and how it was measured. We count escalations and rework too, so you see the full picture, not just how many calls the AI closed.
Going live takes four steps. We pick the journey, test the handovers, watch it closely once it’s live, and then decide together whether to expand, adjust or stop.
We choose one journey together, with approved information, clear permissions and a named person for escalations.
We test the connections to your systems, how data is used, and what happens when the AI gets confused or needs to hand over.
We go live on that one journey with our team watching closely, and compare quality, resolution, repeat calls and effort against your current numbers.
Based on the results, we expand, adjust or stop, with monitoring in place and a clear owner who can roll things back.
Questions about AI and human customer experience outsourcing
Yes. Before anything goes live, we test the AI on scenarios from your business and give you a written scope for each capability you plan to use.
Start with something simple and repetitive, like order status, booking information or appointment reminders. Leave complex or high-stakes conversations for later, once the basics are working well.
No, and we don’t think it should. Complaints, disputes and conversations that need empathy or judgement still need people. AI takes the repetitive load off, so your agents can focus on those.
Once AI is in place, compare the results with your earlier numbers for the same time period and number of calls. Check how many problems got solved, how often customers called back, how many calls went to a person, any mistakes and what customers said. Don’t just count how many calls the AI handled.
Ask to see scenario tests, how failures are handled, sample handoff records and how data flows through the system. We’ll also be clear about what’s ready today and what would need building.
E-commerce brands often start with order status, travel companies with booking information, and banks and fintechs with general account questions. We’ll suggest the best starting point for your business.