Scripts and bots
Deterministic automation that follows fixed steps. Fast, cheap and identical on every run.
AI at runtime
None
AI on the build. Not on every run.
Our agents are the builders. What they build runs on code.
Scripts and bots that run at script speed, with an agent stepping in only when something breaks or a step needs judgement.
The agentsBuild, maintain and repair
The automationRuns on code
Built forWhole roles, not individuals
YouSet the limits and make the calls
The builders and what they build
AI where it pays.
AI where it pays.
Code everywhere else.
The agents decide what each job needs and label how much AI it will use when it runs. Where a model is needed, they keep the call lean.
Our agents do the building.They work out what each job needs, build it, and keep it running.
Self-healing
A screen changes or a step fails. An agent repairs it and hands control back to the script.
AI at runtime
Only on failure
Agentic workflows
Where the work can't be written as rules, the agents build an AI agent into the solution.
AI at runtime
Yes, by design
One loop for everything
Same five steps,
Same five steps,
tests or processes.
Whatever the agents build, it goes through your sign-off.
- 01
You ask
For the flow, process or test you need. Specs and screenshots help.
- 02
They check
What you already have, so nothing is built twice.
- 03
They propose
A plan you can read before anything happens.
- 04
You approve
Challenge it, correct it, then say go.
- 05
They build and maintain
And fix it when something breaks.
Nothing is built or changed without your go-ahead.
Where the agents stop
You set the limits.
The agents work inside limits agreed with your team, written down before anything is built.
Agents decide
Routine build and repair
Fixing a broken step, reusing a test that already exists, naming things to your standards.
Agents ask first
Anything new or unclear
New models, new bots, and anything outside the agreed limits come to you as a plan first.
Stays with people
What's never handed over
Sign-offs, priorities, and the decisions your business owns.
EXAMPLE LIMITS. SET WITH EACH CLIENT.
What we replace
Keep your tools.
Keep your tools.
Hand off the build work.
Your engineers review the work instead of writing and patching scripts. Teams without automation engineers get automation anyway.
Built by hand
How automation gets built today
- You hire or contract automation engineers.
- Weeks of scripting before anything runs.
- Every release or screen change breaks something.
- Maintenance slowly eats the team's week.
- The know-how leaves when people do.
Built by our agents
With Qsome's agents
- Nobody on your side writes code, at any step.
- The agents check what you already have, so nothing gets built twice.
- You see the plan first, and you decide what gets built.
- Our QA agent tests everything before it touches your systems.
- When something breaks, the agents fix it.
If you choose
An automation tool
Software, but your people still build and maintain everything.
With Qsome: agents that do the building and maintaining.
If you choose
A consultancy or contractors
People who build it slowly, then leave.
With Qsome: agents that build fast, stay, and keep it running.
If you choose
An AI-first testing tool
A model on every run, with the cost and flakiness that brings.
With Qsome: scripts by default, with AI only when something breaks.
Enterprise-wide
One setup per role.
One setup per role.
Not one per person.
The agents build for a whole role, so everyone doing that job uses the same governed setup instead of their own mix of AI tools and skills.
Built for the role
One setup for everyone in the job
Agents and bots 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.
Where we draw the line
Four things our agents
Four things our agents
are not.
Not AI everywhere
We don't hand everything to a model. Most of what the agents build runs on code, and the model calls they do make are kept lean.
Not a black box
Every plan is shown before it's built, and every change can be traced back to the request behind it.
Not a replacement for your judgement
The agents propose. Your team decides, every time.
Not starting from zero
They carry eleven years of building test suites and bots by hand for enterprises.
Pick your starting point
Where should the
Where should the
agents start?
Start here
Tell us what you need built.
We'll show you what the agents would build, and how much of it would run without AI.