Detailed breakdown of AI agent development cost in India, including pilot budgets, production rollout cost drivers, and practical cost optimization tips.
The biggest cost factor is integration complexity. Connecting agents with CRM, ticketing, ERP, and internal APIs takes most engineering effort. Governance quality also affects cost. Teams that need approvals, audit trails, and policy control invest more upfront but reduce risk later.
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Pilot implementations often start around INR 8-20 lakhs, while production systems with deeper integrations and governance can range from INR 25 lakhs to INR 1 crore+.
Cost variation usually comes from integration depth, guardrail quality, workflow complexity, and post-launch support scope rather than model API usage alone.
Start with one high-impact workflow, define measurable outcomes early, and use phased rollout. This reduces rework and improves ROI confidence.
Production-ready autonomous AI agents
We design and build AI agents that go beyond chatbots, systems that can autonomously plan multi-step tasks, call APIs and tools, maintain memory across conversations, and collaborate with other agents. From customer support agents that resolve issues end-to-end, to internal copilots that automate research and reporting. Every agent we build includes safety guardrails, observability dashboards, and human escalation paths so you stay in control.
Learn moreMulti-step autonomous AI systems
Build AI agents that autonomously execute business tasks: multi-agent architectures, tool-using agents, workflow orchestration, and production-grade guardrails. Custom agentic AI solutions for operations, sales, support, and research.
Learn moreAI tool integration via Model Context Protocol
Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI agents securely connect to external tools, databases, APIs, and business systems. Think of MCP as a USB-C port for AI, one standard protocol that connects any AI model to any tool. Instead of writing custom integrations for each AI model and each tool, MCP provides a universal interface. Your AI agent can query your database, search your documents, call your APIs, send emails, update CRM records, and trigger workflows, all through standardized MCP servers. Boolean & Beyond builds custom MCP servers and integrations that connect Claude, GPT-4, and open-source LLMs to your existing business systems. We are early adopters of MCP since its release in November 2024, with production deployments connecting AI agents to ERP, CRM, and internal tools.
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Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.