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To use AI, you'd have to replace everything?

You don't. Your CRM, accounting, helpdesk and spreadsheets already hold years of work. We connect AI to them through their APIs, so it reads, sorts, drafts and answers inside the tools your team already opens every morning.

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AI integration into existing systems

What we measure4

  • Hours of retypingtracked
  • Error ratetracked
  • Handling time per requesttracked
  • Cost per tasktracked

The problem

AI is out there, your data is in here

The tools are in place and the staff are busy. What's missing is the link between the two.

  1. 01

    "We'd have to start over"

    The belief that AI means a new system, a migration and months of retraining. So the idea waits, and the manual work carries on.

  2. 02

    Company data pasted into public chatbots

    Someone on your team may already be pasting a contract, a customer list or a price sheet into a free chatbot to save an hour. Nobody decided that, and nobody can see it.

  3. 03

    Tools that don't talk

    An invoice arrives as a PDF, a person retypes it into accounting, and a helpdesk ticket gets answered from memory because the answer lives in a different system.

What we build

What we build

A layer between your tools and the AI models. Your systems stay where they are; they just get smarter.

  • 01

    Connections through your tools' APIs

    We read from and write to your CRM, accounting, helpdesk, spreadsheets, messaging and your existing site or app through the interfaces they already offer.

  • 02

    AI steps inside your workflows

    A summary appears on the ticket, a category on the invoice, a draft in the reply box. The work happens where your team already is.

  • 03

    The right model for each task

    A simple sorting job doesn't need the strongest model, and a delicate legal summary shouldn't use the weakest. We match each task to a model for quality and cost.

  • 04

    Data handling you can explain

    We decide with you which data may leave your systems, which must not, and how it is masked or limited to what each task needs.

  • 05

    Access rules

    AI sees only what the person using it is allowed to see, with the same roles as in your own tools.

  • 06

    A log of what AI did

    Every AI action is recorded, so your team can check, correct and trust it.

How AI helps

What AI does for you

These are jobs AI does well inside a system you already have.

ai.tasks / ai-integrationrunning
  1. Summarizes and classifies

    Long email threads, tickets and call notes become a short summary. Incoming requests are sorted by topic, urgency and owner.

  2. Extracts data from documents

    Invoices, contracts, forms and scans are read, and their fields are filled into the right system. Unclear ones go to a person.

  3. Drafts replies

    A suggested answer to a customer, written from your own past replies and policies. Your team edits it and sends it.

  4. Chat over your company's data

    Ask in plain words, "Which customers haven't ordered since spring?", and get an answer drawn from your own records.

Outcomes

What changes

Before we build, we agree with you on what to measure. These are the numbers we track together:

01Hours of retyping
The time your team spends each week copying data between documents and systems.
02Error rate
How many entries need correcting later, on the tasks AI now handles first.
03Handling time per request
How long a ticket, an invoice or an inquiry takes from arrival to done.
04Cost per task
What a task costs once the right model is matched to it, compared with before.

Start here

Keep your tools. Add the intelligence.

The free AI opportunity map lists the systems you already use and shows which of them AI can plug into first, and what that would take.

Get your free AI opportunity map