Case study
Automating business email with AI.
Clait developed an LLM-based AI assistant that analyses every email addressed to staff, answers standard requests from a knowledge base on the company’s services and information, and forwards to staff only the requests that need a specialist.
Published
01
The context
Handling a high volume of email by hand, with long response times, inconsistent answers and staff tied up in repetitive tasks, slows operations down and does not scale.
02
The challenges
Operational delays
Response times of 24–48 hours that hurt customer satisfaction.
Wasted resources
In-house staff dedicated to standard, repetitive replies.
Inconsistent communication
Unstandardised answers of varying quality and completeness.
Limited scalability
No way to absorb request peaks without adding staff.
03
The solution
An LLM-based AI assistant that takes care of standard requests and leaves the ones that matter to people.
Automatic analysis
Receives and analyses every email addressed to staff.
Contextual replies
Drafts answers from a complete knowledge base on the website’s information and the services offered.
Triage
Tells standard requests, handled autonomously, apart from complex ones.
Escalation
Forwards to staff only the requests that need a specialist.
04
Technology
- Backend
- Python, FastAPI
- LLM
- OpenAI GPT-5 mini
- Orchestration
- LangChain
- Data
- PostgreSQL, vector database
- Deployment
- Docker, Kubernetes
- Monitoring
- Prometheus, Grafana
FAQ
Frequently asked questions.
Does the AI answer every email?
No. The system answers standard requests autonomously and forwards those that need a specialist to staff.
Where does it get its answers from?
From a complete knowledge base on the website’s information and the services offered.
Keep reading.
- Service · 01Business process automation with AIClait automates repetitive, high-volume processes by building AI into day-to-day operations: customer emails and requests, ticketing, data entry, document workflows and back office. Standard tasks are handled autonomously; cases that need attention go to the right people.High-volume processes · Escalation to people · Operational consistency
- Service · 02AI agentic systems for complex processesClait develops LLM-based agentic systems: specialised AI agents that work together to orchestrate complex workflows, make decisions, correct themselves and work with the data and tools a company already uses.Agentic systems · Works with your tools · Automation
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