Test Automation
Software testing, test automation, and agentic context generation that keeps suites alive as applications evolve. The origin of the company.
- Resilient suites
- Context-aware generation
- QA orgs, not just QA tools
the sensible way
to adopt ai.
Your AI and Automation Adoption Partner. A decade of practice, lived end to end. Two areas, two capabilities, one stance: diagnosis before deployment. Agentic AI is the newest weapon in the arsenal, not the whole identity.
01
/
03
95% of enterprise AI pilots never reach measurable impact.
MIT · State of AI in Business 2025
Our answer
They don't fail on the model. They fail on the adoption. We diagnose before we deploy.
Practice
11 years
Recognised by
Government of Victoria
Government of Queensland
NASSCOM
Startup Karnataka
Offices
Bengaluru · Melbourne
Automation,
in five acts.
Every act listed here is still live work for clients today. The years it took to build each one are what give the latest its credibility.
2015 → 2026
Act 01
2015
Software testing
Where the company began. The discipline behind every act that followed.
Act 02
2016
Test automation
Suites that survive application change. The first compounding asset.
Act 03
2022
RPA
Rules-based automation across enterprise systems. Boring, important.
Act 04
2024
AI-leveraged automation
Models inside the workflow, not next to it. The bridge years.
Act 05 · now
2026
Agentic AI
Agents that perceive, decide, and act inside real systems. The newest weapon, not the whole arsenal.
The approach
Diagnosis before
Diagnosis before
deployment.
Where a client arrives expecting "build me an agent," we begin with the area-shaped problem and prescribe from there. Sometimes the answer is an agent. Sometimes the answer is RPA done well. Often, it's both, coordinated.
- One orchestrator, the load-bearing judgement layer.
- Three lanes: testing, process, data.
- Same pattern, area to area.
- Runs inside your environment, not next to it.
The practice
Where we work,
Where we work,
and what we wield.
Areas and capabilities are siblings, not a parent and a child. The problem you arrive with picks the combination. Not a menu. We diagnose, then prescribe.
Areas
Where we work
02 DOMAINS
Enterprise Automation
Business process automation across enterprise systems. Cycle time, manual handoffs, decisions that should be automated, processes that shouldn't.
- Process diagnosis
- Cross-system orchestration
- Change that lasts past go-live
Capabilities
What we wield
02 CAPABILITIES
Agentic AI
Autonomous agents that perceive, decide, and act inside real systems. The newest weapon in the arsenal. Act five, not the whole identity.
- Bespoke, not generic
- Lives in your environment
- Designed with judgement boundaries
RPA
A decade-deep capability. Rules-based automation with judgement layered on top. AI-assisted RPA lives here as depth, not a separate offering.
- Boring, important workflows
- AI on top, where it earns its place
- Maintained, not abandoned
The engagement shape
Four phases.
Four phases.
Discovery is the long one.
Most consultancies treat Discovery as a warm-up. We treat it as the actual work. The ratio is unusual on purpose: deep up front means short, decisive everywhere else.
01
·
DIAGNOSE
4 – 8 weeks
The load-bearing step. We treat it as the work, not the warm-up.
Embedded with your team. We sit inside the actual operation before we name a solution.
What we do
- Stakeholder interviews and process shadowing in the live environment
- Systems audit and data-flow map of what already exists
- Hypothesis testing against constraints, risk, and adoption cost
- Recommendation written as a diagnosis, not a deck
What you walk away with
- A diagnosis
- Scope and engagement shape
- First-cut architecture intent
What it isn't
Not a slide-deck audit. Not a vendor pitch dressed as research.
From the practice
Most AI rollouts don't fail on the model. They fail on the adoption.
That's the part nobody sells you a tool for. It's the part we've been doing for over a decade.
Cooperating with
Public-sector programmes
Public-sector programmes
and industry bodies
across India and Australia.
About Qsome
IP-backed services, not a platform.
Our model is IP-backed services. Not a SaaS that leaves you alone with the platform. Not a from-zero engagement starting with a clean slate. We arrive with a prepared toolset, built over a decade of practice, and the judgement to apply it.
We work out of Bengaluru and Melbourne, with engagements across India, Australia, Singapore, the UK, Canada, and the ASEAN region.
Founders
