Digital employees, working inside your operation.
Iterabase gives your operation coworkers that never queue up. They work in your systems, on your data, following your rules. They ask a person when a call needs one. Everything they do is visible, and the system stays yours.
Not a chatbot. A coworker with a role, a process and tools.
AI is the engine, not the product. The work gets done through tools: the systems your team already uses, plus the ones we build where a tool does not exist yet. You approve every tool a digital employee is allowed to touch. The model decides what to reach for, inside those boundaries.
It owns a process
Each digital employee is responsible for one repeatable process, start to finish, the same way you would hand it to a person on your team.
It uses purpose built tools
Every action runs through a tool you have approved for that role, whether it is one of your existing systems or one we built for it. Nothing is improvised and nothing happens outside them.
It knows when to ask
Processes carry conditions. Above a value, outside a margin, missing a document: the work routes to a named person for approval or a decision before it moves on.
It lives in your house
The platform and the models it uses run on your own infrastructure. Your data never leaves your perimeter, and when the engagement ends you own the system end to end.
Part of the work is streamlining the process itself. A digital employee inherits a better version of the workflow, not the mess that grew around the old one.
Start with the queue that never clears.
The best first role is high volume, repeatable, and already costing you capacity. These are common starting points. Yours comes out of the first conversation.
Quotation and pricing requests
Requests arrive in every format. Someone reads each one, finds the price, drafts the answer, and the customer waits while a competitor replies first.
Revenue sits in the delayInvoice reconciliation and rate audit
Supplier invoices checked line by line against what was agreed. In practice, discrepancies get found when somebody has time, which is never in a busy month.
Where margin leaks quietlyInbox triage and status updates
Hundreds of messages a day, each needing a read, a classification and a next action. Attention gets spent sorting instead of deciding.
Highest volume, lowest valueOrder and document matching
What was ordered reconciled against what actually happened, across portals, PDFs and spreadsheets that were never designed to agree.
Errors surface downstreamA dispatch planner that finishes before the shift starts.
A role we build for a transport operation. It starts on a schedule, runs without anyone in the loop, and hands back only the decisions that need judgment. Every other role follows the same shape.
Read the open orders
Every order awaiting dispatch, taken straight from the ERP at a fixed time each morning.
Read the fleet
Available trucks, capacities and load specifications as they stand today, not as they were planned last week.
Build the routes
Loads assigned against truck, load and destination constraints, national and international, using the rules your planners already apply.
Compile the manifests
One manifest per route, in the format your drivers and customers already receive.
Write back to the ERP
Routes created in the system of record, not in a side tool nobody maintains.
Hand over the exceptions
Anything ambiguous goes to a named person with the context attached, and the work resumes as soon as they answer.
Each step has a defined input, a defined output and a record of what it did. Where the process needs a human signature, that step is built into the process, not bolted on afterwards.
Work that runs without a person is still work you can see.
Every digital employee we install works on Iterabase, running on your infrastructure. Your ops manager opens one board and knows what is running, what finished, what is waiting for a person, and what it was worth.
Walk through it yourself
Enter a valid work email address.
The demo is ready.
Sample data, real product. Try the board, open a blocked item, and answer what the digital employee is asking for.
Open the platform demoYou watch it work on your own operation before there is an invoice.
One conversation, one proposal, one proof of concept built at our cost. Then we solve one problem at a time.
We talk about your problems
Where work stalls, what it costs you, and which process hurts most right now. No audit, no discovery retainer.
We propose a proof of concept
One role, scoped tightly, with the outcome we expect it to produce and how we will measure it.
We build it and show you
You see the digital employee working on your process before any money changes hands. If it does not convince you, that is where it stops.
We put it into production
We build the role properly on your infrastructure, integrated with your systems, with the approval steps your operation requires.
05 · Then we measure, and take the next problem
The role is measured against the baseline we set before it went live. When it holds, we scope the next one. One problem at a time is deliberate: it is how the work stays accountable and how your team keeps up with it.
You pay per engagement. Then you own it.
Each digital employee is an engagement with a defined scope and a defined outcome. What we build runs on your infrastructure and belongs to you when it is done. There is nothing to keep renting and nothing holding your operation hostage.
Asked by everyone who runs a real operation.
"Our processes are too specific to automate."
Your operation as a whole probably is. We do not take the whole operation. We take one process with defined inputs and a defined output, streamline it, and give it to a digital employee. The bespoke judgment stays with your people, as an approval step inside the process.
"Where does our data go?"
Nowhere. The platform and the models both run on your own infrastructure, so your records stay inside your perimeter and under your access controls. No prompt, document or record is sent to an outside provider, and we do not host your operation. Every action the system takes is recorded and auditable.
"What happens when it gets something wrong?"
Most of it never gets that far. Processes carry conditions that stop the work and require a person to approve or decide before it moves on, and anything the digital employee cannot resolve is raised as a blocker that states exactly what it needs. When a result is wrong anyway, your team flags it, the feedback is recorded against the process, and a new attempt runs.
"Nobody here has time to run this."
That is the normal state of an operation at capacity, and it is the reason you are reading this. We need a few hours of your team's time to understand the process and the access to build against it. The building is ours, and one role at a time means nobody has to clear their calendar.
Bring one process. We will show you what a digital employee does with it.
Thirty minutes, one process, no deck. You leave with our read on where your capacity is going and whether it is worth building anything at all.