“Customers get stuck in the chatbot and cannot reach a person.”
They leave, or they arrive at support already angry.
AI Agent Operations
Your AI chatbot can answer thousands of questions. But when a customer is upset, confused or stuck, they need a person, fast. We take over when your AI should not, review its conversations and help it get smarter.
I need to change the name on my flight booking.
I can help with that. What’s your booking code?
It’s for my mum, she’s in hospital, it’s urgent
Sensitive case detected · handed to a human agent
Hi, I’m Minh. I’m sorry to hear that. I’ll sort this out with you now.
An AI agent needs looking after once customers use it
“Nobody reads the conversations where the bot failed.”
The same mistakes repeat.
“Handover to a human loses the context.”
Customers have to explain everything again.
We monitor the agent, step in when it fails and send what we learn back to your team.
The customer never has to repeat themselves
When your agent hands over, our team sees the full conversation. They pick up where the AI left off and solve the problem.
- Handover triggers agreed with you
- Full chat history visible
- Resolution logged for learning
Solved without a human71%
Handed over correctly92%
Wrong or outdated answer9%
- Refund policy article out of date Fix sent
- Agent missed urgent tone New rule
Keeping your AI agent on track
Take over
Handle sensitive or stuck conversations.
Review chats
Score a sample of AI conversations every week.
Fill gaps
Flag missing or wrong knowledge articles.
Report
Trends, failures and fixes, in plain words.
How we run an AI agent day to day
- Step 1
Review a sample of conversations
We find where the agent fails, loops or gives risky answers.
Failure list
- Step 2
Define handover rules
When the agent must pass to a person, and what information travels with it.
Handover policy
- Step 3
Cover the queue
Our team takes handovers, fixes the customer’s issue and logs the cause.
Handover log
- Step 4
Report and improve
Each month you get the top failures and suggested fixes.
Improvement list
Timings depend on volume and complexity. We agree them with you in writing before the pilot starts.
How we keep the agent on track
Conversation samplingRegular review of real conversations.
Handover rulesSensitive topics always go to a person.
Context passed onCustomers never have to repeat themselves.
Failure trackingTop failure types ranked by frequency.
Who benefits on your side
AI product owner
A list of real failures to fix, ranked by impact.
Customer experience lead
Better outcomes for customers who reach a person.
Engineering
Concrete examples instead of vague complaints.
Straight answers
Still have a question? Ask us directly.
Which chatbot platforms do you work with?
We work in the tools you already use. We confirm access and handover setup during planning.
Do you build or train the chatbot?
No. We operate around it: monitoring, handover, correction and reporting. Your team or vendor stays in charge of the AI itself.
Can you work in our support tool?
Yes, with access limited to the queues and data the work needs.
Ready to build better operations
Tell us what you need to run, fix, or growWe will map out the right team and a pilot plan