Focused build
Starting at ₹____
TODO: Confirm pricing. Request a scoped quote.
IDEAS. BUILD. IMPACT.
Agentic AI System Design & Consulting
Agentic AI system design defines how models, tools, memory and human decisions work together. Aarvan Labs, based in Chennai, helps teams design AI architectures with explicit permissions, testable behavior and manageable operating costs.
AARVAN LABS
AI agent architecture and multi-agent system consulting
Map each responsibility, shared data source and handoff before adding agents. We review whether separate agents improve the workflow and how their outputs will be checked.
AARVAN LABS
MCP server development and integration planning
Define which business tools and data an MCP server should expose, who can access them and which operations need approval. Development scope follows a review of your APIs and security requirements.
AARVAN LABS
Who is this for?
- Product founders
- Engineering teams
- Automation agencies
- Growing SMBs
AARVAN LABS
What you get
- Architecture and data-flow map
- Agent responsibility definitions
- Tool and MCP integration plan
- Permission and approval boundaries
- Evaluation and observability plan
- Implementation roadmap
AARVAN LABS
Where can this help?
- Plan a multi-step customer support workflow
- Design an internal research assistant with source checks
- Separate lead research from human-approved outreach
AARVAN LABS
Tools we use
MCPOpenAI / Clauden8nSupabase
AARVAN LABS
Process & timeline
- Discover: 1–3 working days to map the workflow
- Design: 2–5 working days to agree the scope
- Build: typically 1–4 weeks, depending on integrations
- Support: handover and support period agreed in your proposal
Indicative durations; your proposal confirms delivery and dependencies.
AARVAN LABS
How much does it cost?
Connected system
Starting at ₹____
TODO: Confirm pricing. Request a scoped quote.
AARVAN LABS
Related work
VISION OS
PROJECT / 003
AARVAN VISION OS
Enterprise CCTV intelligence platform. Plug into any existing camera, track every person uniquely, and search footage by face using AI.
Computer VisionANSWERS
Your questions, answered
Do we need multiple agents?
Only if distinct responsibilities justify the complexity. A single workflow is often enough.
What is MCP used for?
MCP gives compatible AI systems a standard way to access tools and context.
Can you review an existing architecture?
Yes. We can assess data flow, reliability, permissions and evaluation coverage.
Is implementation included?
Consulting and implementation are separate scopes, agreed before work begins.
How do you control autonomous actions?
We define allowed tools and require human approval for consequential operations.
AARVAN LABS
Keep exploring
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