Do we need new software?

Usually not. The agents work on top of the accounting, ERP, and email systems you already have. The scan reads your stack and tells you what it can carry.

We are not a tech company. Is this for us?

Yes. The people who do the work today map it with us and own the system afterwards, with a runbook a new colleague can follow. No developer is needed to change a rule.

What does it cost to run?

The scan gives you a value estimate and the running cost of the workflow before you commit to a build, and the system shows its own cost once it runs.

How long before we see the difference?

The scan is one week and ends with a working example on your own data. A build starts from that example, and the first workflow runs before the next one is mapped.

What if our systems are old?

Most mid-sized companies run on systems that are older than their AI ambitions. Agents can read and write through what those systems expose; the scan tells you where that is enough and where it is not.

What do we own at the end?

The system, its rules, its documentation, and the runbook. We hand it over so your team runs it without us.

All industries

SMEs

Agents on the software you already pay for.

We make the accounting, ERP and email systems you already pay for fit to carry agents, then put agents on invoices and orders, the customer inbox and quoting, with your own people at every decision.

Start with a one-week scan

One week. One workflow. A working example on your own data.

AgentLabs puts AI agents on top of the software mid-sized companies already pay for. First we fix what stops the accounting, ERP and email systems from carrying agents, then agents take over invoice and order processing, the customer inbox and quoting, with your own people signing off where it matters, every action logged, and you owning the result.

Where the work stalls in a mid-sized company.

Not adopted
Someone tried a chatbot or a licence, it never fit the daily work, and the team went back to how it was.
Still manual
Orders, invoices and customer questions run on email, spreadsheets, and one person who knows how it all fits.
Cost grows with revenue
Every new client means more admin, so the office grows as fast as the order book.
No time to choose
The tools exist, but nobody has a week to find out which ones fit the systems you already pay for.

Three workflows that are usually the first candidates.

Examples to start your own list from. The scan finds the ones that fit your operation.

Invoice and order processing

Today: Orders arrive by email and PDF, are retyped into the accounting or ERP system, and mismatches surface when a customer calls.
Agents take over: Agents read incoming orders and supplier invoices, match them to customers, products, and purchase orders, and enter them ready for approval.
A person decides: An administrator approves every entry outside the usual pattern, and every invoice above the threshold the company sets.
The audit trail records: The source document, the extracted values, the match, and the approval are recorded per order and per invoice.
Your team owns: The matching rules and the thresholds are settings the office team owns.

The customer inbox

Today: One shared inbox, a few people reading it in turn, and the answer depends on who is in that day.
Agents take over: Agents sort the inbox, draft answers from the company's own information, and prepare order and delivery updates from the systems.
A person decides: A colleague approves every draft before it is sent, and anything about complaints or money goes to a person first.
The audit trail records: The classification, the draft, who approved it, and what was sent are logged per message.
Your team owns: The answer library and the routing rules are the team's to change.

Quoting

Today: A quote takes a day: looking up prices, checking stock and lead times, writing it up, and chasing the follow-up.
Agents take over: Agents assemble the quote from the price list, stock, and lead times, draft it in the company's format, and schedule the follow-up.
A person decides: A salesperson approves every quote before it goes out, and sets the margin floor the agents may not cross.
The audit trail records: Which prices and stock levels were used, who approved the quote, and when it was sent are recorded per quote.
Your team owns: The price rules, the margin floor, and the quote template belong to the sales team.

Where mid-sized companies usually start.

Invoice and order processing, in most mid-sized companies. It runs every day, the rules are already in the accounting system, and the judgment line is clear: the administrator approves exceptions, the agents do the typing. It is also the workflow where the office feels the difference first.

How it would go

01The scan maps the current run with the person who does it today, and reads what in the systems you already pay for must change before agents can carry it.
02The working example processes one month of real orders and invoices.
03The build adds the approval gate, the audit trail per document, and the handover to the office team.
04The inbox or quoting follows once this runs.

The governed layer in a mid-sized company.

Where a person signs off

Every entry that is unusual, every message a customer reads, every quote, and everything about money. Agents prepare, your people commit.

What the audit trail records

The source document behind every entry, who approved what, and what was sent to whom. Enough to answer your accountant and your customer.

What your team owns

The rules, thresholds, templates, and a runbook a new colleague can follow, in the systems you already have. No new platform to pay for.

Start with one workflow.

One week, fixed scope. You leave with a map of where AI creates leverage in your daily work, a read of the systems you already pay for, and a working example of one workflow on your own data.

Start with a one-week scan

What you get

Opportunity map
Workflow candidates
Stack read
Working example of one workflow
Risk assessment
Value estimate
Recommended roadmap

Questions from SME owners.

Do we need new software?: Usually not. The agents work on top of the accounting, ERP, and email systems you already have. The scan reads your stack and tells you what it can carry.
We are not a tech company. Is this for us?: Yes. The people who do the work today map it with us and own the system afterwards, with a runbook a new colleague can follow. No developer is needed to change a rule.
What does it cost to run?: The scan gives you a value estimate and the running cost of the workflow before you commit to a build, and the system shows its own cost once it runs.
How long before we see the difference?: The scan is one week and ends with a working example on your own data. A build starts from that example, and the first workflow runs before the next one is mapped.
What if our systems are old?: Most mid-sized companies run on systems that are older than their AI ambitions. Agents can read and write through what those systems expose; the scan tells you where that is enough and where it is not.
What do we own at the end?: The system, its rules, its documentation, and the runbook. We hand it over so your team runs it without us.

Service lines that carry this

AI Workflow Automation Agentic Process Transformation