Autonomous Operations ERP
ExpertOps AI is the execution layer that runs your operations across teams, systems, and workflows.
Modern enterprises are already shifting from people-run workflows to people-governed, self-running operations.
The economy is going always-on
Every era so far multiplied what people could do with their hands, and this is the one that multiplies what they can do with their judgment.
Industrial era, 1900 onward
Mass production
Machines multiplied what a person could lift and move, and output scaled with the size of the factory floor.
$6T
The Architect
Global output by 1975
Designed the process
Digital era, 1975 onward
Global coordination
Work was recorded and connected across the world, and every step still needed a person to move it to the next one.
$110T
The Analyst
Global output by 2025
Read the data
Autonomous era, 2025 onward
Always-on operations
Agents multiply what a person can think through and decide, so one mind now reaches across the whole operation at once.
$350T
The Governor
Global output by 2075
Sets the rules
The system this era needs
A record of what already happened cannot run an always-on business. We build the system of decisions and the system of actions that can, across every ERP you already own.
Governance layer
See what every agent and workflow is doing.
From planning the operation to watching how each agent and workflow performs against the thresholds you set.
What it runs
Data to execution in milliseconds. 100% accountability.
See it on your operationsWhat powers it
One graph across every operation. Every decision keeps its trace, so autonomy gets safer the longer it runs.
System of actions
Common action fabric
The layer that carries a decision out across every system it touches. It reaches through your connectors, puts the tools and the agents to work, and stops at the gates where a person still decides.
ExpertOps AI
System of decisions
Common context graph
Every decision made inside your policy, with the reason kept beside it. It remembers what it read, which rule applied, what it was not allowed to do, and who approved it.
ExpertOps AI
System of records
Common data model
One shape for the entities, master data, documents and events your systems already hold, without owning a single one of them.
SAP, Oracle and Workday
Your systems keep the records. Logos decides and acts across them.
The same system, in every sector
Your plant floor runs as one autonomous system, from suppliers to shipping, sensing disruption and adapting production in real time.
What changes
A late supplier reflows the schedule on its own, and the line never stops.
Quality and compliance run continuously, so every audit is one click away.
Output scales with demand, the moment demand moves.
Operations, and the workflows we run inside them
Supply Chain
Forecast-to-Fulfill
Quality
Quality Management
Production
Make-to-Stock
Operations
Make-to-Stock
Each one carries its own exception paths, approvals and trace.
The workforce this economy runs on
Every operation above is run by agents like these, each with a job title the business already uses, a team it sits in, an authority you set and a person it answers to.
Shop Floor Execution
Captures what the line actually did: confirmations, consumption, output, stoppages and changeovers, as they happen.
Carries
Answers to Production Supervisor
Contracting
Prepares and administers contracts, and captures their obligations and commercial terms as structure so the rest of the contract life can be run.
Carries
Answers to Contracts Manager
What the work becomes
Agents carry the coordination, so the day goes on planning the operation, setting its rules and making the calls only people can make.
01
Cognitive reach
One person now runs a whole operation at once, with agents holding every detail across every system it touches.
02
Experience that stays
When people retire or move on, the operation keeps how the work is actually done, so nobody starts from nothing.
03
Cycle time
Weeks of elapsed time collapse towards the hours of real work actually inside them.
04
Capacity
Volume spikes, new lines and new sites are absorbed the week they arrive, not the quarter after.
How it reaches the enterprise
Agents start gated on a single operation and take more of the shift as they earn it, until the enterprise runs this way by default.
Live in two weeks
Pre-built workflows switch on against the systems you already run, with no rip and replace and no data preparation.
Agents at work on day one
One operation proves it
Agents run gated on one operation, so a person approves each call and reads the trace that produced it.
A return you have measured
The function scales
More workflows and more agents cover more of the shift, so the function keeps pace as demand grows.
The full production module
Autonomous by default
Zero touch as standard, with people on the exceptions and every decision governed and logged.
Always-on autonomy
What all of it stands on
All of it runs where your workloads already run, on the same silicon and the same clouds that carry the world's most regulated systems.
Runs on
Also on Oracle Cloud Infrastructure, and in your own data centre.
Models we run
Who else sees it
The thinking behind the shift, from the people redesigning their organisations for it.
What we are here to do
We are building the system the always-on economy runs on. The companies that carry the world's output will run on it.
Output that keeps pace with demand, for the first time since the assembly line. This is the change, and it happens once.
Where to start
Two weeks, one operation, live on your data, against a threshold you set before we begin.