Bots
Move data between systems, fill forms and file records, identically every time.
AI at runtime
None
RPA + AI agents = enterprise automation that delivers.
Precision of RPA. Adaptability of AI. Outcomes that matter.
Our agents work out what's worth automating, build the bots, and keep them running when screens change and rules drift. Nobody on your side writes code.
CostRun costs you can forecast
ScaleRoles automated, not just tasks
Deployed your wayOn-prem, cloud or hybrid
Kept runningBy the agents, when screens or rules change
Why trust our agents
We've tested software for a living since 2015. Everything our agents build is quality assured by our agents before it touches your systems.
Sound familiar?
Four things every
Four things every
ops lead tells us.
Each one is a job the agents take off your team.
“Our bots break whenever a screen changes.”
The agents keep them running“Data still moves between our systems by hand.”
The agents build the handoffs“We don't have automation engineers, and can't hire them.”
You never touch code“We don't know which processes are worth automating.”
The agents map it firstHow it works
You make the call.
You make the call.
The agents do the rest.
The same loop our testing agents use, pointed at your processes.
- 01
You share
The process, plus any documents or screenshots you have.
- 02
They map it
Steps, systems, rules, and what's already automated.
- 03
They propose
What to automate, what to leave to people, and how.
- 04
You sign off
Challenge it, correct it, then say go.
- 05
They build and maintain
And fix the bots when something changes.
Nothing is built or changed without your go-ahead.
Enterprise-wide
One set of bots
One set of bots
for the whole role.
Every bot is built for a role, not a person. Everyone doing that job uses the same one, vetted once, instead of their own mix of AI tools.
Built for the role
One setup for everyone in the job
Bots and agents designed around how the work is done, not around how one person likes to do it.
Reviewed once
One thing to secure
Your security and IT teams review one setup, instead of chasing a hundred personal AI tools and skills.
Improved once
One change, whole role updated
When the work changes, the agents update the setup and everyone in the role gets it at the same time.
What the agents build
Rules where they work.
Rules where they work.
AI where they don't.
The agents pick the right kind of automation for each step.
Our process agents.They map the process, build the automation, and keep it running.
AI-assisted bots
Read invoices, forms and emails in any layout, then hand clean data to the bot.
AI at runtime
Only to read documents
Agentic workflows
An AI agent handles the cases rules can't, and passes anything unclear to a person.
AI at runtime
Yes, by design
What they do
The whole build,
The whole build,
end to end.
Coordinated by one lead agent, the way Curator leads testing.
Map the process
Turn your description, screenshots and documents into clear steps, systems and rules.
Pick what to automate
Propose what to automate, what to leave to people, and what to fix in the process first.
Build the bots
Build the bots and the handoffs between your ERP, CRM and other systems.
Read your documents
Pull data out of invoices, forms and emails that used to need fragile parsers or a person.
Handle the exceptions
Deal with the cases rules can't, and pass anything unclear to the right person.
Keep it running
Fix bots when screens change or rules drift, and tell you when a person is needed.
Client stories
Already running
Already running
for our clients.
Names kept private. What each team was dealing with, what we built, and what changed.
Background verification · Pre-employment screening for 100+ companies, 50+ check types
15 minutes down to 1.5.
Candidate verification, fully automated.
The challenge. About 20 documents per candidate. Reading them, checking the rules and keying in the data took 10–15 minutes each, with volumes swinging from 5 to over 100. A full day of it is draining, and one slip in a verification report is expensive.
1.5 minper candidate, files read to form filled
10×faster than the 10–15 min it took by hand
0data-entry errors, at hour one or hour eight
100+candidates a run, or 5. Same bots.
AI reads. Code decides.
- 01ReadAI extracts each field exactly as printed.
- 02DecideCode applies the business rules.
- 03FillA bot enters the data into the system.
Everything runs on the client’s own server, so candidate data never leaves their systems.
Sales order processing · Customer POs to ERP sales orders
30–45 minutes down to 5.
Purchase orders in. Validated sales orders out.
The challenge. Turning each customer PO into a sales order meant checking customer, payment terms, Incoterms, materials, quotations and pricing by hand: 30–45 minutes an order, with rework whenever something slipped.
5 minper order, from PO to ERP
6–9×faster than by hand
70%less validation work
20+checks on every order
AI analyses. People verify. Bots execute.
- 01ExtractAI reads each PO and extracts the key data.
- 02VerifyA person confirms the extracted data on one review screen.
- 03Create20+ checks run, then a bot books the order in the ERP.
The only human step is a quick check. Every order keeps a full audit trail.
Also on your list
See Agentic QA
Agentic QA
Curator, our AI team lead for testing, designs your tests, writes the scripts and keeps them passing as your app changes. The tests run without AI until a step breaks.
Book a demo
Tell us what you need built.
See the agents at work, then pick the process to start with. We answer every request inside one working day.