AI Agent Development Services

AI Agents That Do Work, Not Just Chat

Agents don't just answer questions. They plan, call tools and chain actions across your systems until the work is done. GTS Infosoft builds agents that plug into your APIs, databases and apps — with the guardrails, evals and human-in-the-loop controls that make autonomy safe enough to put in production.

Founded in 2010 and ISO 9001:2015 certified, we've shipped 250+ apps across 16 years for clients in India, the USA and Australia. Our AI engineers build agents on OpenAI and Anthropic using tool-use, function calling and orchestration frameworks — from around USD 20 an hour, with time-zone overlap and AI-accelerated delivery.

Rated top developers on

ISO 9001:2015 Certified

What Our AI Agents Do

Tool use and actions
Through function calling, agents hit your APIs, databases and SaaS tools and take real actions — not just produce text.
Multi-step reasoning
Agents plan, break the task apart and chain steps, handling workflows a single prompt can't touch.
Knowledge-grounded answers
RAG over your data keeps agent decisions and answers tied to what's actually true in your systems.
Multi-agent orchestration
Specialist agents cooperating under an orchestrator, for jobs that span several domains at once.

How We Make Agents Safe

Guardrails and permissions
Scoped tool access, validation on input and output, and policy checks. An agent can only do what it's allowed to.
Human in the loop
Sensitive actions route through approval steps. Where the stakes are high, a human stays in charge.
Evals and testing
Evaluation suites measure task success, reliability and regressions — before release and after it.
Observability
Every step, tool call and decision gets traced, so agent behaviour can be debugged, audited and improved.

Where Agents Add Value

Customer support
Agents that close tickets end to end: order lookup, refund issued, records updated, done.
Operations automation
Data entry, research and the routine back-office grind, handled across the tools you already use.
Sales and research
Lead enrichment, outreach drafts and research compiled from internal and external sources.
Internal copilots
Domain copilots that operate inside your systems and shave hours off the team's week.

The AI Agent Stack We Use

OpenAI APIAnthropic ClaudeLangChainPythonNode.jsVector DBs (Pinecone/pgvector)MCPAWS

Frequently Asked Questions

How much does AI agent development cost?

The drivers are tool count, integrations and how much autonomy you need. We scope the workflow first, then send a clear estimate — engineers from around USD 20 an hour, with a design that watches costs.

How is an AI agent different from a chatbot?

A chatbot answers. An agent plans, calls your tools and APIs, and takes multi-step actions, so it finishes tasks instead of just replying to them.

How do you keep AI agents safe and controlled?

Scoped tool permissions, guardrails on input and output, human-in-the-loop approval for sensitive actions, plus full tracing and evals. The behaviour stays auditable and reliable.

Can agents connect to my existing systems?

Yes. Function calling and integrations like MCP connect agents to your APIs, databases and SaaS tools, and everything runs under your existing access controls.

Which models do you use to build agents?

OpenAI and Anthropic models, combined with tool-use and orchestration frameworks. The choice per use case comes down to reasoning quality, cost and data privacy.