Company
The world is changing, differently than you'd think
For the first time, machines can do the work that was always too complex to automate. The real shift is quieter than the hype suggests. And more fundamental.
Unlock the future of work
For the first time in the history of software, machines can handle the kind of work that demands language understanding, judgment, and contextual knowledge. Reading, interpreting, checking and processing information. Orders, invoices, service tickets.
Skilled, exact, essential work. At the same time: repetitive, error-prone and scarce. The people who do it are getting harder to find, and spend their talent on handling tasks instead of making decisions.
That's the problem we solve.
Process work
Structured steps with a clear beginning and end
Steps inside a known frame, that follow rules, where the answer can be derived from the information at hand. An account manager entering orders, a project lead checking work orders, a finance clerk posting invoices.
The AI coworker does this
Knowledge work
Unstructured, creative, strategic, relational
Experience, intuition and human judgment. Keeping customer relationships alive, making strategic decisions, assessing complex exceptions. Here, people are irreplaceable.
This is where your team focuses
Our principles
What we stand for
Measured on the business
We count success in cases per day, turnaround time and cost per transaction. Not model metrics in isolation, but the KPIs your board already tracks.
Craftsmanship
An AI coworker you can rely on takes deep process understanding. The model is the means, the process is the point.
Humans in the loop
Trust is built on transparency, predictability and human control. That's a design principle, not a concession.
Anti-hype, pro-results
AgentsLab was founded by people who spent years watching proofs-of-concept fail to reach production. We ship working software.
Our story
Because it works
AgentsLab was founded by people who spent years in consulting. They watched proofs-of-concept never reach production, and saw organizations grow AI-weary from promises that never delivered.
We deliver working AI coworkers that demonstrably save time and money. Measurable in cases per day, handling time per item, and errors per month.
…
Cases processed this year
0+
Customers in production
0%
Expand after first process
~0 wks
From kickoff to live
Our path
From vision to production
AgentsLab founded on the belief that back-office automation needs a different approach
First customers go live in production
20+ customers in production, ~300,000 cases processed per year
Partner network built out with implementation and sector partners
On track for 1.2 million cases per year
How we work
We build and deliver on six principles
Automation projects rarely fail on the technology. They fail on adoption. These six principles are what we took from years of enterprise implementations, and why our projects land.
First understand, then build
We start with a thorough analysis of the current process, who does what, which exceptions occur, where the bottleneck sits. The team member doing the work today is essential.
At Technotrading we spent a week on the order desk before a single line of code existed.
The human keeps the decision
The AI coworker handles the process work, your team stays in control. Exceptions are always reviewed by humans, with full context and a concrete proposal. That's how you build trust, from day one.
At Dammers Bouw 4.36% of service tickets pass a human. That 4.36% is the design, not a leftover.
Integrate into your workflow
Our AI coworkers work directly inside your existing ERP, aligned to your exact way of working. No new platform, just orders, invoices and tickets processed in SAP, AFAS, Exact, Dynamics, Odoo, Bouwworks and more.
Every ERP has its own quirks. That knowledge comes from years of enterprise implementations.
Transparent and traceable
Every step the AI coworker takes is visible: from the original document to the ERP posting. When in doubt, the AI coworker escalates with full context and a suggested resolution.
We saw too many proofs of concept nobody could explain. That is why every step logs a score and a reason.
Start small, scale smart
Start with one concrete process that's a bottleneck. Prove value quickly, then expand. 75% of our customers add more processes after the first success.
75% of our customers expand to a next process after the first AI colleague.
Measure from day one
Processing time, exception rate, volumes: all visible in real time on the dashboard. No vague promises, just concrete numbers that back up the business case.
Every customer case on this site carries volumes, time saved and payback. That is the bar we hold ourselves to.
Curious what an AI coworker looks like in your back office?
We always start with a Quick Scan. No commitments.
Book a Quick Scan