AI that works with your company’s knowledge
The answer to almost everything asked inside a company is already written down somewhere: a procedure, a contract, a price list. The problem is finding it. We build assistants that search your documentation and your systems, reason over what they find, and answer citing the source — with each person’s permissions respected exactly as they are.
Signs you need this
- New joiners resolve questions by interrupting the experienced ones.
- Time goes into hunting for a document everyone knows exists.
- The answer to the same question changes depending on who replies.
AI & knowledge
5 automations in this area
Internal AI assistant for employees
Your employees ask, and AI finds the answer across procedures, contracts, internal documentation and applications.
- In
- A question in plain language, from the browser, Slack or Teams.
- What it does
- Searches your documentation and systems, reasons over what it finds and answers citing the source.
- Out
- The right answer in seconds, with the exact document and section.
- Human review
- Every answer comes with its source so anyone can check it.
- Connects to
- Google Drive, SharePoint, Notion, ERP, CRM, databases, PDFs and email.
- Outcome
- New joiners stop depending on interrupting the experienced ones.
- Example
- A rep asks what discount they can give a customer of more than five years and gets the answer with the policy quoted.
With per-employee and per-department permissions: each person only sees what they could already see.
Intelligent document search
Search by what a document says, not by what the file is called.
- In
- Everything you have stored: PDFs, Word, Excel, emails, scans and minutes.
- What it does
- Indexes the actual content, scanned documents included, and understands the intent behind the search.
- Out
- The relevant documents ranked, with the passage that answers already highlighted.
- Human review
- Folder permissions are respected exactly as they are in the results.
- Connects to
- Google Drive, SharePoint, OneDrive, file servers, email and document managers.
- Outcome
- You get back the hours spent today looking for a document you know exists.
- Example
- "The contract where we put in a late-delivery penalty" turns up in seconds, even if the file is called "v3-final-ok.pdf".
Intelligent document extraction
Any document turned into structured data, without rigid templates.
- In
- Orders, tenders, job sheets, payslips, policies, scans and paper forms.
- What it does
- Reads each document even when the layout changes, extracts the fields you ask for and validates that they are coherent.
- Out
- Data ready to enter your system, with a confidence level per field.
- Human review
- Low-confidence fields are flagged and reviewed by a person on a screen built for it.
- Connects to
- Email, scanner, shared folders, ERP, databases and APIs.
- Outcome
- Manual transcription ends, including on the documents that never arrive the same way twice.
- Example
- Handwritten site reports become lines of hours and materials, ready to invoice.
AI agents
AI that does not just answer: it looks things up, decides and acts within the limits you set.
- In
- A concrete goal: resolve an enquiry, prepare an order, close a case.
- What it does
- Works out which steps are needed, uses your systems as tools, and stops when it needs permission.
- Out
- The task done end to end, with a log of every step it took.
- Human review
- You define what it can do alone, what needs approval and what it must never do.
- Connects to
- ERP, CRM, email, databases, APIs, WhatsApp and phone.
- Outcome
- Complete processes without constant supervision, and traceability on every decision.
- Example
- Faced with a complaint, the agent checks the order and the shipment, applies your policy and proposes the compensation with its reasoning.
Conversation analysis
What your customers say on the phone, by email and in chat, turned into usable information.
- In
- Recorded calls, emails, chats and WhatsApp conversations.
- What it does
- Transcribes, summarises, detects the intent and the tone, and groups the themes that come up most.
- Out
- A summary per conversation and a dashboard of contact reasons and friction points.
- Human review
- You decide what gets analysed, what gets stored and for how long.
- Connects to
- Phone system, email, WhatsApp, CRM and helpdesk.
- Outcome
- You know why people really call you, with data instead of impressions.
- Example
- Analysing 2,000 calls reveals that 18% ask the same thing — and that gets fixed by changing one page on the website.
Outcomes and examples are illustrative estimates. The specific target for your process is agreed after the diagnosis, in writing.
Do you recognise any of these processes?
Tell us which one costs you the most time. In a short call we work out whether automating it makes sense and, if it does, we send you the diagnosis with the scope and the quote in writing.
Request a diagnosis