A system of record tells you what happened.

A system of execution makes it happen. We built a new layer of the enterprise stack — the AI Supply Chain Operating System — the one that runs the work your ERP only records.

Lasya AI autonomous procurement agent mesh — from vendor discovery to SAP PO in 4 minutes

The layer that was always missing.

For decades you've had a system of record — your ERP — and a stack of tools that watch and report. What you never had is the layer in between that actually does the work: coordinating every system, supplier and partner so the operation runs itself.
An AI Supply Chain Operating System is the autonomous execution layer that runs the operational work between recorded transactions — across organizations and systems that share no common workflow. It is not a system of record, not a planning engine, and not a single-domain copilot. It turns intelligence into coordinated action across the handoffs — continuously, and largely without humans relaying information by hand.

Not that. This.

The best way to explain what we are is to show you what we're not. The Operating System is none of these — and that's exactly why it's different.
Not a control tower
We act without boundaries, not within our own walls

Control towers fix problems — but only inside their own systems. We fix them across your entire ecosystem. When work needs to move beyond their walls, they drop it. We carry it through

Not RPA
We think, not just repeat.

RPA plays the same steps over and over — until something changes. We understand context and make decisions across systems. RPA breaks when work moves between systems. We adapt and keep going

Not a network
We get work done, not just pass it along

Networks pass work from one person to the next — creating delays and dropped tasks. We don't pass. We execute. Networks just connect. We actually deliver — with zero onboarding.

How it's different

Everyone optimizes a box.
This owns the lines between them.

vs · ERP

System of record

SAP, Oracle, Dynamics store the transaction. The OS runs the work the ERP only records — and writes the outcome back to it.

vs · Planning

o9, Kinaxis, Aera

They forecast and recommend, then hand the response to people. The OS executes the plan across external partners.

vs · Control tower

project44, FourKites

They track shipments and raise alerts. The OS resolves the disruption it detects, instead of just showing it.

Single-domain copilots

They act in one lane and are blind across the rest. The OS carries work across procurement, logistics, EXIM and finance as one.

Full comparison: vs ERP
vs Planning
vs Control Tower
vs Point AI
→ Co-exist
Your ERP

The one system of record we never touch. Settyl writes every outcome back to SAP, Oracle or Dynamics — no migration, no rip-and-replace.

Replace
Point AI · Planning suites · Control towers

Each owns only a slice of the handoff. Settyl owns the transaction layer across all of them — so they get retired, not bolted on — and it compounds into operational memory for autonomous execution.

Defined terms

The vocabulary of the category.

System of Execution The layer that does the operational work between recorded transactions — as opposed to a system of record, which only stores what happened.
Multi-Enterprise Execution Running one flow of work across companies that share no system — suppliers, forwarders, brokers, customs — with no partner onboarding.
Autonomy Rate The share of transactions and exceptions resolved end-to-end with no human in the loop — the core KPI for an execution layer.
Operational Memory The accumulating record of how your supply chain actually behaves — which supplier slips, which lane recovers — that compounds with every transaction and can't be fabricated by a model.
Why now

The gap is old. The ability to close it is new.

Technology

Agents crossed the line

LLM agents went from demo to live deployment — acting across email, phone, portals and ERPs, not just summarizing. The execution layer is finally buildable.

Behavior

Fragmentation fatigue

A decade of point-SaaS left teams with 5–8 tools and people as the glue. The appetite is no longer for another box — it's for the layer that unifies them.

Proof

A category that's already in production.

60%

cycle-time reduction within 60 days

$18M

working capital released across deployments

47

country profiles of EXIM execution, native

60-day

full-stack deployment with ERP write-back

The vision

The company that owns execution owns the supply chain. That layer didn't exist — so we built it, and it's already live.

Questions we get

The category, answered.

What is an AI Supply Chain Operating System?
It's the autonomous execution layer that runs the operational work between recorded transactions — across organizations and systems that share no common workflow. It's not a system of record, not a planning engine, and not a single-domain copilot. It turns intelligence into coordinated action across the handoffs, continuously, with little human relay.
Is this a real category, or just marketing?
It's a stack, not a slogan: a problem at the base (operational fragmentation), a framework that solves it (multi-enterprise execution), an outcome it delivers (autonomous execution), and the operating system that names the whole. Each layer stands on its own.
How is it different from my ERP, planning tool or control tower?
The ERP records, planning forecasts, the control tower watches — all of them hand the action to a person. The OS does the action and writes it back. See the full vs ERP, vs Planning and vs Control Tower breakdowns.
Why is this possible now?
LLM agents crossed from demo to live deployment — acting across email, phone, portals and ERPs, not just summarizing. At the same time, a decade of point-SaaS left teams wanting the layer that unifies their tools, not another box. The execution layer is finally buildable, and wanted.

Proof · in their words

“An amazing service”

My procurement team's real job had quietly become retyping data between systems no one ever connected. Settyl turned that relay work into something that just runs — my people moved from chasing POs to handling the rare exception.

[Name to add]
Head of Procurement · [Company name]
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“One of a kind service”

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Sophie Moore
Head of Design
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“The best service”

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Andy Smith
Senior Developer
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Security & AI governance

Enterprise-grade — and built to be trusted with autonomy.

Lasya acts inside your live operation, so the controls around it matter as much as the capability itself. Settyl is certified and governed to enterprise standard.

ISO 27001:2022
Certified information security

Independently audited information-security management — the access governance, data-protection and operational controls enterprise InfoSec teams require before they'll sign.

NIST AI RMF
Responsible AI governance

We follow the NIST AI Risk Management Framework — appropriate controls around AI risk, data privacy, transparency, accountability and human oversight on every agent action.

ERP-safe by design
Your ERP stays the system of record

Lasya co-exists with SAP, Oracle and Dynamics — never replacing them. Your data stays yours, every action is logged and auditable, and a human stays in the loop wherever you set the threshold.

This is the problem the rest of the stack solves.

Operational fragmentation is the ground floor. Everything Settyl builds sits on top of it — the framework that runs work across companies, the outcome of autonomous execution, and the category that names the new layer.
Operational fragmentation is the ground floor. Everything Settyl builds sits on top of it — the framework that runs work across companies, the outcome of autonomous execution, and the category that names the new layer.

See the execution graph form in your first 60 days.

We'll connect one corridor of your supply chain — and show you the transactions, memory
and control that start compounding the moment work runs through it.

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See the execution graph form in your first 60 days.

Bring us one process. We'll show you the coordination cost hiding inside it — and what it looks like when the work runs itself.

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