Support assistant
Answers customer questions based on your FAQs and ticket history, suggests ready replies and takes load off the support team.
AI assistants · AI
An AI assistant that knows your business and answers your team and customers
We build an assistant on top of your knowledge base: documents, procedures, offers and FAQs. It answers concretely and cites its sources — instead of making things up or sending people to yet another colleague.
Free, no strings attached. At the end you get a PDF report breaking down your project.
The problem
The knowledge is in your company, but no one can find it
Procedures sit in one folder, decisions in emails, answers in a few people's heads. People lose time searching and asking around, while experts answer the same questions over and over. New hires take ages to get up to speed, and customers wait for simple information longer than they should.
- knowledge scattered across documents, emails and procedures
- the same questions asked several times a day
- experts buried under simple requests
- slow onboarding, because everything has to be shown in person
Who it's for
The biggest gains go to teams that live on knowledge and answers
If you recognize any of these areas, an AI assistant can probably take some of those repetitive questions off your plate.
- Support & customer service
- HR & onboarding
- Sales
- Companies with a large knowledge base and documentation
- Offices & administration
- Operations teams
Example use cases
What we most often build
Internal assistant
Explains procedures and policies, guides people through onboarding and answers the questions that today land on a few people at once.
Search across company documents (RAG)
Instead of digging through folders, you ask in plain language and the assistant finds the answer in your documents and points to the source.
Sales assistant
Surfaces information about offers, products and pricing so reps answer customers faster without hunting through files.
Assistant with source citations
Every answer points to its source, so it's easy to check where it came from and whether it's still up to date.
Slack/Teams integration
The assistant works where the team already works — in Slack or Teams — and answers without switching between tools.
How implementation works
From your documents to a working assistant
01
We gather and prepare the data
We agree which documents, procedures and FAQs the assistant should use, and prepare them so the answers are trustworthy.
02
Indexing and RAG
We index the knowledge base and build the search (RAG) that lets the assistant answer from your content, not guesswork.
03
Source and access control
The assistant cites its sources, and we set access so everyone sees only what they should — with sensitive data in mind.
04
Rollout and monitoring
We launch the assistant in your chosen channel (web, Slack, Teams), watch real questions and keep improving the answers.
Technologies
The tools we build this on
- OpenAI API
- Claude / Anthropic
- RAG
- pgvector
- PostgreSQL
- Python
- Node.js
- Slack / Teams API
- AWS
Risks and limitations
We're upfront about what to watch out for with an AI assistant
Hallucinations
Models can make things up. We restrict the assistant to your knowledge base and enforce source citations so any answer is easy to verify.
Sensitive data
Not everything should be available to everyone. We set permissions and protect privacy so the assistant only shows what it should.
Knowledge base quality
The assistant is only as good as the documents it runs on. That's why we tidy up and prepare the data before rollout.
FAQ
Common questions about AI assistants
Where does the assistant get its answers?
From your knowledge base: documents, procedures, FAQs, offers and any other materials you point it to. The assistant answers based on those sources and tells you which document an answer comes from, instead of guessing.
Is company data secure?
Yes. We set up permissions and access control so everyone sees only what they should. We process data as agreed and don't share it for training external providers' models.
Will it work in my language?
Yes. The assistant understands and answers in your language, works with documents in that language and can cite sources in it. It can also handle other languages when needed.
How long does implementation take?
We usually launch a first working version on a selected set of documents within a few weeks. After that we gradually add sources and channels. You'll see the real scope and effort in the preliminary estimate.
Next step
See how fast your AI assistant can launch
Describe which documents it should run on and who it should answer, and get a preliminary breakdown into modules, effort and risks. Then we can go through the report together.