RA
Live
Digital Product
ranjeetsaini.com
This website: a personal-brand platform with an editable CMS, AI knowledge hub, business-idea library and consultation pipeline.
Software & Product Strategy
Software that fits the way a business actually works
I think about software as a product first: a specific user, a specific job, a workflow it fits into and economics that make sense. AI is a capability inside that — powerful, but never the point.
Areas
What I focus on
SaaS products
Vertical, workflow-deep subscription software with sensible unit economics from day one.
Digital products & platforms
Web and mobile-first products designed around how people actually work — often on a phone, often multilingual.
Business automation
Removing repetitive steps with reliable software, and adding AI exactly where inputs are messy.
AI as a capability
Models as replaceable components inside a product, never as the product itself.
Integrations
Being where users already work: accounting tools, CRMs, messaging, payments, ERPs.
Product strategy
Choosing the wedge, scoping the MVP, sequencing the roadmap and deciding what not to build.
Process
How a product comes together
The same order every time, because skipping a step is how products get built that nobody uses.
- 01
Understand the workflow
Interviews and observation before any design. The goal is to see where time and money actually go.
- 02
Define the thinnest complete product
One user, one job, end to end. Metering, logging and correction built in from the start.
- 03
Choose boring architecture
Standard web stack, relational database, queue for slow work, thin layer around any AI provider.
- 04
Ship to pilots, measure, iterate
Activation, retention, cost per action and correction rate — the numbers that tell you if it works.
Principles
Beliefs that shape every build
Depth in one workflow beats breadth across many features.
Deterministic code guards money, permissions and compliance; AI handles the messy steps.
Design for correction — users forgive a wrong suggestion, not a wrong action.
Measure cost per action as seriously as revenue per user.
Build to swap: models, providers and vendors will change.
Honest status labels — idea, research, MVP, in development, live — on everything.
Projects
What I'm building and exploring
AI
Research
AI Automation
AI Enquiry Triage
A research concept for classifying inbound business enquiries, drafting replies and maintaining a lightweight pipeline for small service businesses.
GR
Idea
AI Software
Grounded Knowledge Assistant
An idea-stage concept for a retrieval-grounded assistant that answers staff questions from SOPs and manuals with citations.
Planning a software product?
Let's talk through the wedge, the MVP and the economics before you write a line of code.