B2B SaaS
AI Support Assistant for a B2B SaaS Product
Sample case study: a RAG-based assistant that answers customer questions from product documentation.
- Next.js
- Node.js
- PostgreSQL
- pgvector
Software Architect · AI Solutions Consultant
I'm M. Mohsin Ansari, a Software Architect and Full-Stack Engineer helping startups and businesses build scalable applications, integrate AI, automate workflows, and turn complex ideas into practical digital solutions.

10+years
designing, building and leading software projects
Live projects: SouthAsianCare, E-Nikah, Lucid Studios, Ladyssa, Ludo Khelo, Hub.com.pk, BigOwner, W11 Stop, Farah Talib Aziz, Pritchard Peck
The idea
Everyday inputs
AI + your business rules
Reads, checks and decides what should happen next.
You approve the exceptions
Work that gets done
Pick the task your team repeats most, automate it well, then build on what works.
AI handles the routine. Anything unusual or important comes to a person to approve.
Logged, monitored and tested like any production system, not a demo that breaks next month.
Why it matters
Step 01
Copying data between tools, chasing approvals, re-typing orders. Every business has hours like these, and they grow with every new customer.
Step 02
AI and simple integrations take those tasks over: read the email, update the record, send the reply. Done the same way, every time.
Step 03
With the routine handled, people spend their time on customers, sales and new ideas. That is where growth comes from.
Time for growth work · illustration
01About
For more than ten years I've helped companies turn ideas into working software — as an engineer, an architect and a technical lead. The common thread is simple: understand the business problem properly, then build the simplest solution that will hold up.
Founders get a technology partner who speaks plainly about trade-offs, costs and risks, and who stays involved from the first conversation to launch and beyond.
I start with what you're trying to achieve — revenue, efficiency, a launch date — and work backwards to the technology.
Systems designed to fit your stage today and grow with you, without expensive rewrites later.
I don't just draw diagrams. I write, review and ship production code across web, mobile and backend.
AI-assisted development and AI features used deliberately — to move faster and add real value, not as decoration.
02Services
03Work
B2B SaaS
Sample case study: a RAG-based assistant that answers customer questions from product documentation.
Professional services
Sample case study: designing and building a subscription platform with role-based access and billing.
Logistics & operations
Sample case study: a cross-platform app for field teams, synced with an existing Laravel backend.
04Live projects
Full buildA complete hospital management solution.
Full buildA matrimonial website with a complete admin management panel.
Full buildA video hub server with video streaming.
Full buildA complete e-commerce solution.
Performance optimizationAn online web-based game. I optimized its performance.
Partial scopeWorked on the order management system and its integrations.
Full buildA property buying and selling website.
Ongoing supportAn e-commerce store for electronics.
Full buildAn e-commerce website.
Led this project while working with the Cydomedia team.
05AI App Audit
Built an app using Cursor, Claude Code, Lovable, Bolt, or Replit but struggling to complete or launch it? I can help identify technical issues, review your code, and recommend the next steps.
Entry offer
Starting at$10
This is a limited initial review — not a full security assessment, penetration test or implementation service. Deeper reviews and fixes are quoted separately.
06Technology
07Process
Understand the business need before touching the code.
Design the technical solution and a realistic roadmap.
Develop, integrate and test in short, visible iterations.
Deploy with confidence, then keep improving.
08Insights
AI coding tools can get you to a working demo remarkably fast. Here's what usually stands between that demo and a product people can rely on.
Most MVPs don't fail because of the wrong framework. A practical way to make architecture decisions when you're still validating the idea.
Where AI automation pays off today for small and mid-sized businesses — and how to pick the first process worth automating.
Whether you're building something new, improving an existing application, or exploring how AI can help your business, let's discuss your goals.