Execution Infrastructure · Service-as-Software

Your Order Desk.
Replaced.

From unstructured orders to executed outcomes — automatically. No manual data entry. No operational bottlenecks. Just accurate orders flowing into your ERP.

OM Agent · live
queue · 14 active
Ingest

WhatsApp · "Need 240 units of SKU-441 by Friday"

Channel: WhatsApp · Customer: Northwind

Decide

SKU matched · Stock OK · Credit cleared

Confidence 0.97 · Auto-approved

Execute

ERP entry created · #SO-10428

Dispatched in 4.2s · No human touch

interpret → decide → enter → update98.4% straight-through
WhatsAppPhone CallsVoice NotesEmailsPDFsScreenshotsSpreadsheetsWeb PortalsEDIERPWhatsAppPhone CallsVoice NotesEmailsPDFsScreenshotsSpreadsheetsWeb PortalsEDIERP
The Reality

Orders don't arrive clean.

Every order goes through the same loop — interpret, decide, enter, update. It doesn't scale. It just grows with headcount.

WhatsApp messages
Phone calls & voice notes
Emails with PDFs
Screenshots from field teams
Spreadsheets
Scanned purchase orders
interpretdecideenterupdate— repeated, by humans, all day.
The Shift

This is not automation.
This is execution.

The OM Agent doesn't surface a queue for someone to clear. It closes the loop — without constant human involvement.

01 · interpret

Understands the order

Parses intent across channels and formats — chat, voice, PDF, sheet.

02 · decide

Applies your business logic

Catalog rules, SLAs, credit, pricing — your playbook, codified.

03 · route

Decides the next step

Approve, escalate, or request clarification — automatically.

04 · execute

Executes in your systems

Writes to ERP, CRM, WMS — end to end.

Channels

Built for how orders actually arrive.

One system. Every channel. Same outcome.

WhatsApp
ingest · normalize · execute
Phone calls
ingest · normalize · execute
Voice notes
ingest · normalize · execute
Emails
ingest · normalize · execute
PDFs
ingest · normalize · execute
Screenshots
ingest · normalize · execute
Spreadsheets
ingest · normalize · execute
Web portal
ingest · normalize · execute
How It Works

Four layers. One outcome.

Test Your Formats

See how your orders get processed — before you commit.

Upload your real order formats. We'll show you exactly what gets automated.

  • Automation coverage by channel
  • Structured output preview
  • Edge cases identified
PDF·Screenshot·Email·Voice note·Spreadsheet
Coverage
Fields
Confidence
Difference

Most systems assist.
This one executes.

Others
  • Extract datavisibility
  • Show dashboardsvisibility
  • Rely on humansvisibility
OM
  • Understand intentexecution
  • Apply logicexecution
  • Execute actionsexecution

Decision + Execution — not just visibility.

ROI

What does this change for your operations?

No currency theatre. Just where the hours go — and how many of them stop being spent.

Orders per day
Avg minutes per order
Team size
Manual effort reduction
64%
Hours back per day
13h
Automation potential
74%
Scale

Built for real operational scale.

Whether you handle tens of orders or a thousand-plus per day — the system scales without adding headcount or complexity.

10 → 10,000
Orders / day
0
Headcount added
Same
Operational complexity
Role Shift

Your team doesn't disappear.
Their role evolves.

From
  • Data entry
  • Queue management
  • Chasing missing fields
To
  • Exception handling
  • System supervision
  • Decision validation
Operators Controllers
Vision

The shift is already happening.

Software used to support operations. Now it executes them. Order management is moving from manual processing to autonomous execution.

manual processing autonomous execution
Built For

Real-world operations. Not ideal ones.

Designed for environments where data is messy, inputs are inconsistent, speed matters, and accuracy is critical.

Messy data

Free-text, mixed formats, partial info.

Inconsistent inputs

Different conventions per customer.

Speed matters

Sub-second execution path.

Accuracy is critical

Confidence scoring on every field.

Stop processing orders manually.

Start letting them process themselves.