Example: inquiry triage
A form submission triggers classification, a suggested owner and a draft reply. A person reviews the reply before it is sent. If the model or CRM is unavailable, the original inquiry remains available for manual handling.
05 / AI AUTOMATION
AI that actually solves problems, not just demos well.
Integrate AI into your workflows — from chatbots and content generation to intelligent data processing and predictive analytics.
Let’s build itBUILT AROUND YOUR BUSINESS
A clear purpose.
A considered build.
We build practical AI solutions that plug into your real business workflows. Not science experiments — production systems that save your team hours every week.
Whether it's automating customer support with intelligent chatbots, building content pipelines powered by LLMs, or adding smart recommendations to your product — we focus on AI that delivers measurable ROI. We handle the entire stack: prompt engineering, model selection, API integration, and the infrastructure to run it reliably at scale.
MAKING THE RIGHT DECISION
A workflow before a model.
Example: document intake
An uploaded document enters an extraction queue. The system checks required fields and routes uncertain results for review. Accepted data is written to the destination system with a record of the decision.
Scope the operation
Agree on integrations, approval points, data handling and error recovery. Model usage, external service fees and ongoing monitoring belong in the proposal. These are illustrative workflows, not claimed client results.
HOW WE GET THERE
From discovery
to delivery.
- 01
Use Case Discovery
We identify where AI creates the most value in your business. Not every problem needs AI — we help you pick the right ones.
- 02
Proof of Concept
A working prototype in 1-2 weeks. You see real results with your real data before committing to a full build.
- 03
Model & Architecture
We select the right models (OpenAI, Claude, open-source), design the pipeline, and plan for cost optimization.
- 04
Build & Integrate
Production integration into your existing systems. API endpoints, webhooks, and monitoring — not just a notebook.
- 05
Monitor & Optimize
Prompt tuning, cost tracking, and quality monitoring. AI systems need ongoing attention — we set you up for that.
WHAT YOU TAKE AWAY
Built. Documented.
Yours.
- AI integration into existing product
- Custom chatbot or AI agent
- Automated workflow pipeline
- Prompt engineering & optimization
- API endpoints for AI features
- Cost & usage monitoring
- Documentation & training
- Ongoing optimization support
A LITTLE CLARITY
Good
questions.
Do we need our own AI model?
Almost certainly not. We use OpenAI, Claude, and other APIs — proven, reliable, and cost-effective. Custom models only make sense for very specific, high-volume use cases.
How much does AI integration cost to run?
It depends on volume, but most projects run $50-500/month in API costs. We optimize prompts and caching to keep costs predictable.
Can you automate our existing workflows?
Yes — email processing, document analysis, data extraction, customer support routing, content generation. If it's repetitive and rules-based (or even fuzzy), AI can likely handle it.
What about data privacy?
We take this seriously. We can use models with data processing agreements, keep data in your infrastructure, and ensure compliance with your privacy requirements.
YOUR NEXT STEP
Let’s talk about
your project.
Tell Raj what you’re working on and where you need help with ai automation. You’ll discuss fit, scope and the next steps before committing to a build.
RK
Raj Kumar
Founder & developer · Your direct point of contact