Scripts and bots
Deterministic automation that follows fixed steps. Fast, cheap and identical on every run.
AI at runtime
None
the sensible way
to adopt ai.
All the AI you need. None you don’t.
Our agents build conventional automation for whole roles across your company, then keep it working.
Where do you want to start?
Not sure? See how it works95% of enterprise AI pilots never reach measurable impact.
MIT · State of AI in Business 2025
Our answer
Don't run your business on AI. Let AI build what your business runs on.
Practice
11 years, since 2015
Recognised by
Government of Victoria
Government of Queensland
NASSCOM
Startup Karnataka
Offices
Bengaluru · Melbourne
Meet us in person
See the agents at work at
See the agents at work at
Bengaluru Tech Summit.
From 17 to 19 November, the Qsome team is at BIEC in Hall 3. Come by the stall for a look at Agentic QA and Enterprise automation, and bring a real testing or automation problem. We’ll tell you how we’d approach it.
Dates17–19 November 2026
VenueBIEC, Bengaluru
HallHall 3
StallH3A097A
On showAgentic QA
Enterprise automation
Enterprise automation
01 · The sensible way to adopt AI
Conventional automation.
Conventional automation.
Controlled by agents.
Scripts and bots do the running: fast, cheap and the same every time. Our agents build them, keep them working and fix them when something breaks.
01
An LLM only where it's absolutely necessary
If a rule or a script can do the job, that's what runs. The model is kept for the steps that truly need it.
02
Lean on tokens
When the agents do call a model, they keep the call small and targeted, so you don't pay for tokens you don't need.
03
Agents keep it working
When a screen or a rule changes, the agents repair the automation, so nobody on your team has to babysit it.
In practice
Agents build it.
Agents build it.
Scripts run it.
Three kinds of automation, each labelled with how much AI it uses when it runs.
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
02 · Enterprise-wide
Built for roles,
Built for roles,
not for individuals.
Give a hundred people in the same role their own AI assistant and you get a hundred different setups: different skills, different prompts, and no clear picture of where your data goes. We build one set of agents and bots for the role, and everyone in it uses the same one.
Every person, their own AI
A hundred personal setups
- Everyone picks their own skills, plugins and prompts.
- Nobody can say which tools are touching company data.
- The same job gets done differently depending on who does it.
- Every new skill someone installs is a new security question.
- Fixes and improvements stay with the person who made them.
One set of agents per role
One governed setup
- Agents and bots built around how that role actually works.
- Everyone in the role uses the same vetted skills.
- Your security team reviews one setup, not a hundred.
- Same job, same result, whoever runs it.
- Improve it once and the whole role gets the update.
How it works
Five steps.
Five steps.
You own the one that matters.
The agents do the legwork. You make the call.
- 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.
Already running for our clients
Four teams.
Four teams.
Four very different jobs.
From screening candidates to testing a safety app on three platforms. Names kept private.
Background verification
15 min → 1.5
per candidate, from documents read to form filled
Read the story
Sales order processing
30–45 min → 5
per order, from customer PO to ERP sales order
Read the story
Workforce management software
1 day → 2 h
of upkeep after each regression run, for 598 scenarios
Read the story
Safety app
95% less
manual design effort, across web, Android and iOS
Read the story
Pick your starting point
Two kinds of work.
Two kinds of work.
One set of agents.
Each has its own lead agent, examples and numbers.
Agentic QA
Test suites that write and fix themselves.
Curator, our AI team lead for testing, designs your tests, writes the scripts and keeps them passing as your app changes.
See Agentic QA
Enterprise automation
Your processes, automated and kept that way.
The agents map the process, build the bots for the role, read the documents and keep it all running, with an AI agent only where a step needs judgement.
See enterprise automation
About Qsome
Eleven years of doing it
Eleven years of doing it
by hand. That's what
our agents know.
We started testing software in 2015, then spent a decade building test suites and bots for enterprises. Every lesson from that work went into our agents.
Stage 01
2015
Software testing
Where the company began.
Stage 02
2016
Test automation
Suites built to survive application change.
Stage 03
2022
RPA
Bots across enterprise systems.
Stage 04
2024
AI in the workflow
Models inside the automation, not next to it.
Now
2026
Agents do the building
Curator builds and maintains test suites for clients today, and our agents build and maintain process bots for clients too.
Our model
IP-backed services, not a platform.
Not a SaaS that leaves you alone with a tool. Not a from-zero project that starts with a blank slate. We bring our own agents, built over eleven years of practice, and the people who know how to apply them to your work.
Programmes and bodies we work with
Public-sector programmes
Public-sector programmes
and industry bodies
across India and Australia.
Founders
Talk to us
Tell us what you need built.
A short conversation, not a sales call. A person answers every message inside one working day, IN or AU time.