Solutions
Each area starts from a problem we have seen in organisations like yours. Open one to see how the work flows, try a demo with sample data, and read exactly where each capability stands.
One page for the person at the top: the decisions only they can take, what moved overnight, and an answer to any plain question, with its sources.
Reports reach the top late, each in its own format. By the time the picture is complete, the moment to act on it has passed.
The few decisions only the owner can take sit in chat groups beside a hundred routine messages.
Example output · sample data for a fictional organisation
Atelier OS keeps one record for every department. Around it, your policies, manuals and reports become something staff can ask, with every answer pointing to its source.
The rules live in a binder, the figures in spreadsheets and the decisions in chat groups. Each department keeps its own version of the truth.
When two documents disagree, someone quietly picks one, and nobody knows which.
Example output · sample data for a fictional organisation
Tracer is our AI assistant and action layer. It finds what you ask for, shows the records behind it, and prepares the next step for a person to approve.
What you need for a decision is spread across WhatsApp, email, files and the ERP. Gathering it takes longer than deciding.
Follow-ups depend on someone remembering to send them.
Example output · sample data for a fictional organisation
Enquiries from WhatsApp, the website, email and the phone land in one inbox. Each gets an answer from your own price list and policies, an owner and a next step.
Enquiries wait for hours, or are lost between personal phones and a shared inbox.
Nobody can say how many came in last week, who answered them, or what became of them.
Example output · sample data for a fictional organisation
For colleges, universities and school groups: the enquiry desk, the front desk, admissions, attendance and the policies that govern them, on the same record as finance and HR.
In admission season the enquiry desk is overwhelmed, applicant documents arrive in pieces, and fee payments are confirmed by eye.
Attendance registers and policy binders live apart from the record that pays salaries and collects fees.
Example output · sample data for a fictional organisation
Attendance from the cameras at the door, payroll from the same record, a login and an approval limit for each person, and every decision logged.
Attendance is argued over at month end, payroll is rebuilt in a spreadsheet, and shared passwords mean nobody knows who approved what.
Policy changes are announced in a group chat and never confirmed as read.
Example output · sample data for a fictional organisation
Invoices, vouchers, delivery notes, forms, payment screenshots and voice notes are read into records. Doubtful figures are marked, never guessed, and each document goes to the approver its amount requires.
Staff retype the same figures from paper into spreadsheets, and the mistakes surface at month end.
Approvals happen on WhatsApp, with no limit, no second signature and no trail.
Example output · sample data for a fictional organisation
A general ledger for each company, the daily cash check by branch, the nightly bank check, vendor payments with their vouchers, and purchasing approved by amount.
Cash leaks between the till, the card slips and the bank. Payments in are confirmed by eye from screenshots.
Purchases are approved in chat groups, with no limit per role and no voucher behind the payment.
Example output · sample data for a fictional organisation
Messages, emails and voice notes in one inbox. Voice notes in Urdu and English are transcribed, and replies are drafted from your own policies for a person to approve, unless you agree otherwise in writing.
Voice notes go unheard until someone has a quiet moment. Complaints are answered by whoever sees them first, or not at all.
Answers differ by who replies, because nobody checks the policy.
Example output · sample data for a fictional organisation
Every order or job on one board, each piece tracked through its stages, handovers signed by both sides, and a daily check that no confirmed order is missing.
The floor runs on calls and memory. Orders confirmed on WhatsApp never reach the workshop.
When a piece is late, nobody can say who had it last.
Example output · sample data for a fictional organisation
Material ledgers by lot, stock counts checked against the record, purchasing and stores. Barcodes, a maintenance planner and a gate desk are in our planned range.
Stock goes missing between the store and the floor, and the count at month end never matches the books.
Machines are serviced when they break, not before.
Example output · sample data for a fictional organisation
Dashboards and branch profit and loss from the live record, with watchers that flag a change. Scenario planning, shown here as a concept, would let you test a decision against your own figures first.
Decisions about prices, staffing or a new branch are taken on last quarter’s spreadsheet.
Each department’s report uses its own numbers, so meetings begin by arguing about which is right.
Example output · sample data for a fictional organisation
No module in this area yet.
Connected workflows
An enquiry that becomes a customer, an application that becomes a student, and a request that becomes a matched payment. Each step names the module that handles it.
Saffron Lane Tailoring · sample data
Tue 7 Oct · 10:14
“Can you make a bridal sharara by 30 November? My budget is around Rs 180,000.”
Saffron Lane College · sample data
Mon 6 Oct · 19:32
“Is there an evening BBA intake in January?” It is answered from the prospectus two minutes later.
Saffron Lane Kitchen, Clifton · sample data
Tue 7 Oct · 17:10
Cooking oil is at 38 litres against a par of 120. The count records who counted and when.
Saffron Lane Group is a fictional organisation: a college, three restaurant branches and a tailoring workshop under one owner. Every name, figure and time in this story is sample data.
Shape a solution
Five quick choices produce a map of the modules, your current systems and where things would run, with a summary you can send us. No prices and no timelines: those come after we have seen how you work.
Start with one conversation
From enterprise software to AI, let’s create technology around the way you work.
