AI Agents Development

Regular Chatbot

AI Agent ✨

Sales Agent

Processes inbound leads, asks qualifying questions, fills CRM with complete data, and schedules follow-ups automatically

Support Agent

Resolves customer issues autonomously — searches knowledge base, checks order status, processes returns, escalates only complex cases

Analytics Agent

Pulls data from multiple sources, identifies trends, generates reports, and sends insights to your team in the right format

HR Agent

Screens incoming resumes, conducts initial chat interviews, scores candidates against criteria, and notifies hiring managers

Content Agent

Writes posts, adapts content for different platforms and tones, generates ideas, and schedules publications from a content plan

Operations Agent

Coordinates tasks between teams, tracks deadlines, sends reminders, and generates progress reports without manual oversight

Basic Agent

Single-task agent

• ✓One specialization
• ✓1 tool / API integration
• ✓Context memory
• ✓Tool calling
• ✓Monitoring dashboard
• ✓1 month support

Business Agent

Full workflow automation

• ✓Multiple tools & APIs
• ✓CRM integration
• ✓Long-term memory (RAG)
• ✓Email/Slack notifications
• ✓Analytics & logging
• ✓2 months support

Multi-Agent System

Orchestrated agent network

• ✓Multiple specialized agents
• ✓Agent orchestration layer
• ✓Custom workflows
• ✓Enterprise integrations
• ✓Full observability
• ✓3 months support

What is an AI agent and how is it different from a chatbot?

A chatbot follows a pre-written script and can only respond to questions it was programmed for. An AI agent is autonomous — it can reason through multi-step tasks, use external tools (search, APIs, databases, CRM), execute actions, and adapt to any situation. For example, a sales agent can receive a lead, look up their company info, check CRM history, draft a personalized email, and schedule a follow-up — all without human input.

How much does AI agent development cost?

A basic single-purpose agent (one task, one integration) starts from $2,000. A business agent with multiple tools, memory, and CRM integration costs $4,000–$8,000. A multi-agent system where agents collaborate on complex workflows starts from $10,000. Pricing depends on number of tools integrated, complexity of reasoning chains, and backend infrastructure required.

What AI models do you use to build agents?

We use OpenAI GPT-4o, Anthropic Claude 3.5/4, and Gemini as the reasoning backbone. For orchestration we use LangChain, LangGraph, and custom agent frameworks. For memory we implement vector databases (Pinecone, Weaviate) and PostgreSQL for persistent state. Model selection depends on your cost targets, latency requirements, and data privacy constraints.

What tasks can an AI agent automate?

AI agents excel at: lead qualification and CRM data entry, customer support with autonomous resolution, content creation and scheduling, data research and report generation, HR screening and interview scheduling, e-commerce order management, multi-step API orchestration, and internal process automation. If a task involves decision-making, tool use, and multiple steps — an agent can handle it.

How long does it take to build a custom AI agent?

A focused single-task agent takes 2–4 weeks. A full business agent with multiple tools, memory, and integrations takes 6–10 weeks. A multi-agent system takes 2–4 months. We start with a discovery phase to map out the exact workflow, tools needed, and edge cases — this saves time during development and ensures the agent does exactly what you need.