Skip to content

It’s in a file somewhere.

We engineer a platform around your workflow, with AI doing the routine work.

Which one is the latest?

Five copies of one price list. People save over each other, and nobody is sure which is right.

One place for what you know.

Files, messages and records, sorted by what they are about. One current version, and every change kept.

Ask, and see the source.

S$18,400 for 40 units, on 12 March. The quotation is valid for 30 days.

  1. Quotation Q-0312
  2. Price list
  3. Customer list

Example data, answered from the example files.

Then AI employees do the routine work.

AI reads it, your rules check it and a person decides. Pick a kind of work and follow it through.

  1. It arrives

    “Please quote 40 units of item A-204, delivered by 14 November.”

    ABC Engineering, by email

  2. AI reads it

    Customer
    ABC Engineering
    Item
    A-204
    Quantity
    40
    Deliver by
    14 November
  3. Your rules check it

    • Passed: Price from the current list, checked against Price list
    • Passed: Discount within your limit, checked against Discount limits
    • Passed: Delivery date available, checked against Stock count
  4. A person decides

    The quotation is ready. Nothing goes out until someone approves it.

Examples only. Each platform is built around one business’s own work, rules and approvers.

What runs today, and what is next.

Every platform draws on these parts.

Running at clients today

  • Staff messages into checked records
  • Invoices and bank lines linked
  • Answers from documents, page cited
  • Reminders for key dates
  • Changes rehearsed before going live

Built and tested

  • Order emails with owner-approved replies
  • Enquiries prepared for approval
  • Leads and marketing drafts
  • AI employees for multi-step jobs
  • Learning from staff corrections

Next

  • Replaying past work, trying what-ifs
  • Stock counts by phone
  • A mobile app

Status in November 2026.

Most AI doesn’t know your business.

So we engineer your workflow first, exceptions and all.

  1. Understand

    We follow one workflow with the people who do it.

  2. Model

    Your records, rules and permissions, in a form software can run.

  3. Rehearse

    Every change runs on test cases and a copy of your data first.

  4. Try it with staff

    They try it on real cases and tell us what is wrong.

  5. Go live

    One workflow first. Your people approve what goes out.

  6. Improve

    We review the result against the baseline with you.

We work like a business partner, with part of our fee staked on your result.

We are not consultants. We build it, run it with your team and stay. The fee is agreed before work begins. We do not guarantee an outcome.

How we set the measure
Aravind Mohan, AI Solutions Architect

Who you are trusting

The person
19 years in industry R&D, over a decade building scientific software at Dassault Systèmes.
The studio
A software studio in Singapore.
Your data
Each client has its own installation and its own database.
The platform
Operator, our own product, is how we build each business a platform of its own. oper.run

Tell us about one process.

What your team handles, where time is lost, and what a better result would look like. We will work through the scope with you and a useful way to measure it.

What should work better?

When available, we include the source of your visit with your enquiry.