Service catalog
Six ways to remove friction.
Every capability starts with the same question: where is the repeated work, and what would make it disappear? Pick a lane or combine them into one build.
Not sure what you need?
Start with a workflow audit.
We map the current process, identify the highest-leverage slice and give you a written recommendation — whether or not we build it.
Ask about a diagnostic6 of 6 capabilities
Engagement models
Three ways to work together.
No opaque retainers for vague output. We scope the smallest useful version, then decide whether to continue.
Diagnose
1–2 weeksFixed scope
A focused audit of the workflow, product or system. You leave with a map, a risk list and a build plan — whether or not we build it.
- Stakeholder interviews
- Current-state map
- Opportunity shortlist
- Written recommendation
Build
4–12 weeksMilestone based
A small senior team ships the first production version. Weekly demos, a shared backlog and no handoff to a mystery delivery layer.
- Product and technical design
- Weekly working software
- Production deployment
- Handover and training
Partner
OngoingMonthly
We stay close after launch: improve the automations, add capabilities and keep the system healthy as your operation changes.
- Continuous delivery
- Monitoring and support
- Quarterly roadmap
- Priority response
Questions
The things people ask before the first call.
If your question is not here, send it over. We answer directly, even when the answer is “you don’t need us”.
Do you only build with AI?
No. AI is one tool in the box. We build ordinary, reliable software when that is the right answer. The goal is removing friction, not adding a model to every screen.
Can you work with our existing team?
Yes. We can lead a build, embed with your engineers or leave a clean foundation for your team to own. We document decisions and avoid dependency on a single person.
Who owns the code and data?
You do. We work in your repositories and cloud accounts wherever possible. At handover you receive the source, infrastructure definitions, runbooks and credentials.
How do you handle AI safety and privacy?
We scope data access before building, keep secrets server-side, prefer least-privilege integrations and add human approval for actions with real-world consequences. We do not train foundation models on your private data.
Do you offer support after launch?
Yes. Most engagements continue as a monthly partnership for improvements, monitoring and support. You can also take everything in-house after handover.
Where are you based?
SolvifySoft Labs is based in Bengaluru, India, and works remotely with teams across time zones. We keep overlap hours for decisions and demos.
Start a conversation
Not sure which service fits?
Describe the workflow that keeps breaking. We will point at the smallest useful first step.