AI Agents That Do the Work, Not Just Answer Questions
A chatbot replies. An AI agent completes the task. As an AI agent development company with 15+ years of software delivery behind us, Stellen Infotech builds autonomous and semi-autonomous agents that read your data, reason over it, call your APIs and finish multi-step workflows — qualifying leads, processing orders, triaging support tickets, reconciling invoices, scheduling field teams — with a human in the loop wherever you want one.
We work with OpenAI, Anthropic Claude, Google Gemini and open-source models, orchestrated through LangGraph, CrewAI, n8n or custom code, and integrated with the CRMs, ERPs and databases you already run. Every agent ships with guardrails, logging and a measurable business outcome.
Our AI Agent Development Services
Custom AI Agent Development
Task-specific agents designed around one workflow — lead qualification, document processing, customer onboarding, procurement approvals — with clear goals, tools and success metrics.
Multi-Agent Systems
Teams of specialised agents (researcher, planner, executor, reviewer) that hand work to each other to complete complex processes such as RFP responses, market research or end-to-end order fulfilment.
AI Sales & Marketing Agents
Agents that enrich leads, score them, draft personalised outreach, book meetings and update your CRM — connected to HubSpot, Salesforce, Zoho or your own platform.
Customer Support Agents
Agents that resolve tickets end to end — reading order history, issuing refunds, rebooking appointments — and escalate to humans with full context when needed.
Operations & Back-Office Agents
Invoice matching, inventory reordering, compliance checks, report generation and data reconciliation across ERP, accounting and warehouse systems.
Agent Integration & Orchestration
Tool and API connectors, RAG pipelines over your documents, memory, observability and evaluation frameworks so agents stay accurate and auditable in production.
How We Build AI Agents
- Discovery & use-case scoring — we map your workflows, pick the ones where an agent pays back fastest, and define what “done” looks like.
- Architecture & model selection — choosing the right LLM (OpenAI, Claude, Gemini, Llama), orchestration framework and data layer for cost, latency and accuracy.
- Prototype in 2–3 weeks — a working agent on real data so you can see results before committing to full build.
- Integration & guardrails — secure API connections, permission scopes, human-approval steps, PII handling and audit logs.
- Evaluation & launch — automated test suites and human review against your KPIs before go-live.
- Monitor & improve — usage analytics, drift detection and monthly optimisation as your data and processes change.
Why Choose Stellen Infotech as Your AI Agent Development Partner
- Software engineers first, AI second. 15+ years and 5,000+ projects in Laravel, Node.js, React Native and enterprise integrations — agents that plug into real systems, not demos.
- Model-agnostic. We recommend the LLM that fits your budget, data-residency and accuracy needs, not the one we have a partnership with.
- Outcome-based scoping. Every engagement starts with a KPI — hours saved, tickets deflected, leads qualified — and we report against it.
- Offices in India, Dubai and the USA. Time-zone overlap for clients across the GCC, Asia, Europe and North America.
- Security & compliance built in. Role-based access, data encryption, prompt-injection defences and on-premise or private-cloud deployment when required.
- Flexible engagement. Fixed-price pilot, dedicated AI team or monthly retainer — whichever suits the stage you are at.
Industries We Build AI Agents For
Real estate — lead qualification and viewing scheduling agents · Healthcare & clinics — appointment, intake and follow-up agents · Retail & e-commerce — order, returns and inventory agents · Salons, spas & hospitality — booking and guest-service agents · Logistics — dispatch and exception-handling agents · Professional services — research, proposal and document-review agents · Finance & accounting — reconciliation and reporting agents.
Frequently Asked Questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent is given a goal, decides which steps and tools are needed, executes them (calling APIs, updating records, sending emails) and reports back. Agents can run without a human prompt — on a schedule or triggered by an event.
How much does AI agent development cost?
A single-workflow pilot typically starts from a few thousand dollars and takes 2–4 weeks. Production multi-agent systems with deep integrations are scoped after discovery. We always start with the smallest agent that proves ROI.
Which LLMs and frameworks do you use?
OpenAI GPT models, Anthropic Claude, Google Gemini and open-source models such as Llama and Mistral, orchestrated with LangGraph, LangChain, CrewAI, n8n, Make or custom Python/Node.js — chosen per project.
Can agents work with our existing software?
Yes. We integrate with CRMs, ERPs, e-commerce platforms, databases and any system with an API — and we build the API if one does not exist. Our agents also run on WhatsApp, web, Slack, Teams and email.
Is our data safe?
Data stays in your environment or a private cloud tenant of your choice. We apply least-privilege access, encryption, PII redaction and full audit logging, and can deploy fully on-premise for regulated industries.
Ready to Put an AI Agent to Work?
Book a free 30-minute consultation. We will identify the one workflow where an agent saves you the most, and show you a working prototype within weeks.
