Industry & mechanical engineering

AI between order intake and service.

We bring AI into the processes around your machines: orders, quotes, spare parts and service knowledge, connected to your ERP.

Book an intro call How we work
Three meshing spur gears in champagne metal, getting smaller toward the right, on a black granite surface plate with a scale without numerals, above a travertine plinth; an olive shoot with one silicon leaf grows from the hub of the large gear, with moss, gray-green lichen and olive branches with green olives between the gears, and a braided cable plugged into a socket in the plate

Order intake today

recognized
draft created
awaiting approval

Sample view

Service request

Answer from manualSource: manual, p. 14

Sample view

Pigeonhole shelf cut from a block of brushed aluminum on travertine: the compartments hold rolled drawings, letters, a turned shaft, a gear and an angle bracket, and one compartment is a moss garden with lichen and an olive branch with green olives; braided cables are plugged into sockets in the stone
Our customers need AI that works within the systems and processes they already rely on.
Baybora GülecFounder

The gap

The knowledge is there. It's stuck in inboxes and in people's heads.

Orders arrive as PDFs by email, quotes are built from old quotes, and service knowledge sits with a few experienced people. That's where most of the manual work happens, and that's where AI helps fastest.

Two tasks where AI helps right away.

Task 01 · Sales and inside sales

Orders and quotes into the system faster

Emails, PDFs and inquiries become drafts in your ERP; your inside sales team reviews and approves them.

Goal: less retyping, faster order confirmation.

Task 02 · Service

Service knowledge for everyone

Manuals, tickets and experience become searchable, and answers come with a source.

Goal: shorter searches, less dependence on individuals.

From email to order: sealed envelopes stand in a travertine letter block, and a braided cable leads to an aluminum clipboard with blank order sheets, topped by a turned stainless-steel flange; in front, moss, lichen and an olive branch with green olives grow from the joint in the stone

From receipt to posting

  1. Email received System
  2. Order read Agent
  3. Matching Agent
  4. Draft sales order Agent
  5. Review Human
  6. Posting after approval Human

Sample view

Order agent

How a draft sales order comes together.

An order arrives by email. The agent reads it, matches customer and items against Microsoft Business Central and creates a draft sales order. It flags any unclear line items.

Your inside sales team sees the draft, corrects it if needed and approves it. Only then is it posted.

The draft comes from the agent. The approval comes from your team.

Capabilities

What AI can do in your processes.

Five capabilities that almost every use case is built from.

  1. 1

    Read

    emails, PDFs, forms

  2. 2

    Find

    answers in manuals and tickets

  3. 3

    Match

    against master data in the ERP

  4. 4

    Draft

    orders, quotes, replies

  5. 5

    Submit

    for approval, never posting on its own

How we work

From inbox to a running agent.

Book an intro call

  1. Step 1

    Understand

    Review processes, select use cases

  2. Step 2

    Pilot

    on real orders, with measured value

  3. Step 3

    Operation

    Integration, approval workflow, monitoring

  4. Step 4

    Handover

    Documentation, training

Which manual work would you get rid of first?

We'll look at one process with you and tell you whether an agent is worth it.

Book an intro call
Stepped pyramid of three twisted frosted-glass cubes with moss, olive branches, granite and cables