Assistant for FAQ and simple questions
AI answers repetitive questions based on your knowledge base — fast, consistent and around the clock.
Customer support · AI
AI customer support automation that takes the load off your support team
We take over repetitive questions and simple tickets, classify and route the rest, and hand agents ready-to-review draft replies. Where the work requires understanding content and context, we support the process with AI/LLM models.
Free, no strings attached. At the end you get a PDF report breaking down your project.
The problem
Your support team is drowning in repetitive tickets
The same questions about order status, returns or passwords come back every day, and the queue grows faster than agents can reply. Response times stretch out, customers wait for simple information, and the team handles hundreds of easy tickets instead of the hard ones. The more traffic there is, the more frustration on both sides.
- the same questions repeated hundreds of times a week
- long response times, especially during and outside peak hours
- an overloaded team that can't keep up with the queue
- customers waiting for simple answers already in the knowledge base
Who it's for
The biggest gains go to teams with a high volume of tickets
If you recognize any of these areas, you can probably take the load off support and shorten response times.
- E-commerce
- SaaS
- Service companies
- Customer service departments
- Companies with a high ticket volume
- Support teams
Example processes
What we most often automate
Ticket classification and routing
The system recognizes the topic and priority of a ticket, tags it and routes it to the right team or person.
Draft replies for agents
Based on the ticket and your knowledge base, AI prepares a ready-to-review draft that the agent only approves.
Order and return statuses
Customers instantly get their order or return status, with the system pulling data straight from your tools.
Escalation of hard cases
When a case is sensitive or AI isn't sure of the answer, the ticket goes to a human together with the full context.
Topic and satisfaction analysis
AI groups tickets by topic and shows what customers report most often and how their satisfaction is changing.
How implementation works
From the first questions to continuous support
01
We analyze tickets
We review your ticket history and FAQ base to see which questions come up most often and what's worth taking over first.
02
We build the assistant
We create an assistant grounded in your knowledge so it answers on-brand and only within the limits of what it truly knows.
03
We integrate with the helpdesk
We connect the assistant to your helpdesk and support channels so it works where you already talk to customers.
04
Human in the loop and quality
We add a human in the loop for hard cases, monitor answer quality and CSAT, and keep improving the assistant.
Technologies
The tools we build this on
- OpenAI API
- Claude / Anthropic
- RAG
- Helpdesk integrations (Zendesk / Intercom / Freshdesk)
- Node.js
- Python
- PostgreSQL
- Webhooks
- AWS
Risks and limitations
We're upfront about what automation won't fix
Bad AI answers
A model can be wrong. We limit it to your knowledge base, and when in doubt it escalates to a human instead of guessing.
Customer frustration
Nobody likes getting stuck with a bot. We give customers an easy, fast handoff to a human whenever they need it.
Customer data
Support touches personal data. We protect privacy and process data securely, keeping access to the necessary minimum.
FAQ
Common questions about support automation
Will AI replace the whole support team?
No. AI takes over repetitive questions and simple tickets, so the team has time for harder cases and the contact that genuinely needs a human. Difficult and unusual cases always go to an agent.
Which helpdesk do you integrate with?
Most often Zendesk, Intercom and Freshdesk, but we also integrate with other systems via API and webhooks. If you use your own tool, we check the most convenient way to connect it.
What happens with hard cases?
AI recognizes when it can't answer with confidence or the case is sensitive, and escalates it to a human along with the conversation context. The customer doesn't have to repeat everything from scratch.
Will the customer know they're talking to AI?
That's up to you. We can clearly say an assistant is replying and give the customer an easy handoff to a human at any time. We favor transparency over pretending.
Next step
See how long your automation will take
Describe your support process in a few steps and get a preliminary breakdown into modules, effort and risks. Then we can go through the report together.