Service
Agentic AI Development
Design, build, and deploy intelligent AI agents that can plan, reason, use tools, and take action to solve real-world problems.
I help businesses turn complex workflows into autonomous, goal-driven AI agents that increase productivity, reduce costs, and create new possibilities.
- Custom SolutionsNot templates
- End-to-End DevelopmentFrom idea to deployment
- Production ReadyWith guardrails
- Ongoing SupportAnd optimization
- 1. UnderstandGoals
- 2. Use ToolsAPIs, databases, applications
- 3. Take ActionAutomate workflows
- 4. Learn & ImproveFrom feedback
- 5. ReasonWith LLMs
- 6. PlanBreak down tasks
What I Provide
AI & Agentic AI services tailored to your business needs.
Custom AI Agent Development
Goal-driven agents for your specific use cases.
Agentic Architecture Design
Scalable, modular, and production-ready architectures.
Multi-Agent Systems
Collaborative agents for complex workflows.
Tool Integration
Integrate with your existing tools, APIs, and data sources.
RAG-Powered Agents
Agents that can access and reason over your private data.
AI Guardrails & Safety
Ensure safe, reliable, and controlled agent behavior.
How I Work
A structured and transparent process to turn your idea into a production-ready solution.
- 1
Understand
Discuss your goals, use cases, and requirements.
- 2
Plan
Design the solution and technical architecture.
- 3
Build
Develop and integrate AI agents with tools.
- 4
Test
Evaluate, fine-tune, and ensure safety and reliability.
- 5
Deploy
Launch to production with monitoring.
- 6
Support
Ongoing optimization and new feature development.
Technologies I Use
Modern, proven technologies to build robust and scalable solutions.
Python
LangChain
LangGraph
OpenAI
Claude
MCP
FastAPI
Spring Boot
Docker
Kubernetes
PostgreSQL
Redis
Results & Impact
Delivering measurable value for every client.
60%
Process Automation
Reduce manual work
70%
Faster Decision Making
Get insights in real-time
40%
Cost Savings
Optimize operations
90%
Client Satisfaction
Successful project delivery
“Bishal delivered an AI agent solution that transformed our operations. His technical expertise and practical approach made the entire process smooth and successful.”
Frequently Asked Questions
Common questions about AI & Agentic AI projects.
What types of AI agents can you build?
Customer-support and internal-knowledge assistants, document-processing and data-extraction agents, research and analysis agents, and multi-step workflow automations that act across your tools and APIs.
How long does it take to build an AI agent?
A focused proof of concept usually takes 2–4 weeks. A production-ready agent with integrations, evaluations and monitoring typically takes 6–12 weeks, depending on scope.
Do you work with existing systems and data?
Yes. Most agents I build connect to existing databases, internal APIs, SaaS tools and document stores, using RAG or MCP so the agent works with your real data.
What is the typical cost?
It depends on complexity and integrations. After an initial conversation I share a fixed-scope estimate for a proof of concept, then a plan for taking it to production.
Do you provide ongoing support?
Yes — monitoring, prompt and model updates, evaluation runs and new capabilities as your needs grow.
How do you ensure safety and reliability?
Guardrails on inputs and outputs, scoped tool permissions, human-in-the-loop approval for sensitive actions, automated evaluations and full tracing in production.
AI & Agentic AI
Ready to build your AI agent?
Let's discuss your use case and explore how AI agents can create value for your business.