Ask your company's knowledge and get a sourced answer
An assistant that draws on your documents, business systems and data, cites each source and only shows people what they are allowed to see.
Sound familiar?
Which of these sounds like your team?
Answers are spread everywhere
What people need is split across files, tickets and tools with no link between them.
Onboarding drags on
New hires spend weeks finding out where information lives and whom to ask.
Support repeats itself
Your service team answers the same handful of questions day after day.
Data needs an expert to reach
Pulling product or customer figures means waiting for someone who can write the query.
Some data can't leave your control
Confidential material is off limits for public chatbots.
An assistant no one checks
You already have an AI pilot, but nobody verifies what it says, so trust is low.
Process
How we work
- 01
Start where it hurts
We begin with the knowledge problem that has the biggest impact on your teams.
- 02
Test with real content
Within two to six weeks the assistant runs on your actual documents and data.
- 03
Extend to other teams
Any team facing the same problem gets access next.
- 04
Maintain accuracy
As content changes and new questions appear, we keep measuring and correcting answers.
Specifics
Technical details
- Every answer is built only from retrieved passages, and links back to them
- We pull text out of PDFs, Office documents and scanned pages
- Content is chunked by headings and sections, and each chunk carries its access permissions
- Search combines meaning-based and keyword matching, with a knowledge graph added when links between items matter
- For figures held in business systems, the assistant runs structured queries instead of a text search
- We connect to your databases, CRM, ERP, ticketing tools, wikis and document stores
- We trace every request, run quality tests and track what each answer costs
Options
Flexible to fit you
- A single team firstorMore teams as you are ready
- Hosted by usorOn your own infrastructure
- Grootan builds itorGrootan and your engineers build it together
- Grootan operates itorYour team takes it over
Measurement
What we measure
- How quickly people get an answer
- Tickets closed without escalating
- Share of answers that are correct
- Time until a new hire is up to speed
FAQ
Questions we hear
What is a good first use case?
Begin with the question your people lose the most hours trying to answer. That is where we would start.
What can the assistant connect to?
Wikis and document stores, ticketing tools, CRM and ERP systems, and databases.
Do you train models on our documents?
No. Your documents and data belong to you, and no model is trained on them.
How do you price it?
The number of sources and the complexity of the questions drive the price. We scope it with you on a first call and quote from there.