Sonata

Sonata runs a defined process end to end. It gathers the records the decision needs, compares them, applies the rules you wrote, and asks for approval where your policy requires one. AI reads, rules decide, humans approve.

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  • Supplier Risk Management
  • Procurement Decisioning
  • Inventory Replenishment
  • Production Planning
  • Logistics Orchestration
  • Exception Orchestration

How it works today

One person, one case, again and again.

Every day it comes back. An order, a document, a number that does not match. Someone opens it, searches the systems, lines up the records, works out what happened, and decides what to do. Then does it all again.

The trail runs across purchasing, goods-in, accounting and quality, and the context gets assembled by hand every time, under rules only some people know. Most of it is routine, and it still eats the hours. The few cases that genuinely need judgement sit buried under the ones that do not, and none of it is visible until the person who does it is away.

How Sonata works

Let the routine handle itself.

Sonata takes one process and carries it from trigger to done. It gathers what it needs, compares the records, catches the exceptions, and lines up the next step. Your rules run as written, not as a model interprets them, and a missing value is flagged rather than inferred.

The routine moves on its own. Anything that needs a human arrives already explained, ready to decide. You choose how far it goes, from a quiet suggestion to acting on its own once it is sure. Your systems stay put, and every step traces back to the record, the rule and the approver.

Before the pilot


The answers that decide whether a shadow week is worth running.

Autonomy is set per workflow, in five steps: observe, recommend, prepare, execute inside your rules, and escalate the rest. Most processes start at observe or prepare and move up only when your own numbers support it. The promise is not removing the person, it is reducing their queue from every case to the cases that need judgement.

No. Sonata sits above the systems you already run and works with them as they are. A pilot starts on a read-only connection, which is a much smaller conversation with IT than write access, and nothing is written anywhere until you decide it should be.

A script breaks the first time a supplier writes the same thing differently. Sonata reads the message rather than the layout, then hands the decision to rules you defined rather than to the model. The reading adapts, the deciding does not.

Every case records which records were used, which rules applied, what was proposed, who approved it and what was written back. That trail is what an auditor asks for, and it is the reason the deciding layer is a rule set rather than a model.

Ones that repeat, start with an identifiable trigger, follow a decision path your team could describe, and pull information from more than one system, where most cases are routine and a smaller set needs judgement. If the process is rare, or if reviewing the output would take as long as doing the work, we will say so rather than propose it.


Thirty minutes on a video call. You tell us how the work runs today, where the manual steps and bottlenecks are, and we show you what Onyven would have done with a week like yours. If it is not a fit, you will hear that from us too.

Onur YılmazOnur YılmazFounder, Onyven
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30 minutes · Founder call

You talk to the founder directly. Half an hour is enough to see the product run on real orders and decide whether a pilot makes sense.

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Onyven Technologies UG

Onyven is an agentic operating system that sits above the tools you already run: Sonata runs a defined process end to end, Orchestra keeps the work in one view.

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