Custom AI Agent Development for Business Operations

AI agents are not chatbots. They understand context, take actions, use tools, and work across multi-step tasks — operating as digital team members inside your business systems.

Xaylon Labs builds custom AI agents using LangChain, OpenAI, and proprietary tools — integrated with your CRM, database, calendar, and communication platforms. Agents that handle real work, not just answer questions.

Build Your Custom AI Agent

Describe the task you want automated. We'll design an AI agent that handles it within your systems.

Free consultation. Response within 24 hours.

What Makes Our AI Agents Different

AI agents that act within your systems — not just respond to questions

Most AI implementations stop at the chat interface. Our agents go further — they query your database, update your CRM, send emails, schedule meetings, and trigger workflows based on conversational context.

We build agents using a tool-calling architecture: the agent understands the user's intent, selects the right tool (API, database query, web search, email), executes it, and returns a grounded response — all in a single conversation turn.

Every agent is trained on your business context: your products, policies, processes, and tone. It handles the full lifecycle — from first query to resolved outcome — without human intervention for most cases.

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Context-aware reasoning across multi-step tasks

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Tool-calling: APIs, databases, email, calendar

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System integration with CRM, ERP, helpdesk

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Trained on your business data & policies

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Multi-agent orchestration for complex workflows

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Enterprise-grade security & data privacy

AI Agent Types We Build

Custom AI agents for every business function

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Customer Support Agents

Handle Tier-1 support tickets, FAQs, and escalation routing. Connected to your helpdesk, pulling order data and policy context in real time.

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Sales & Lead Agents

Qualify leads, answer product questions, schedule demos, and update CRM records — keeping your sales pipeline moving 24/7.

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Operations Agents

Automate internal workflows: report generation, task assignment, data entry, status updates, and cross-department coordination.

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Data Analysis Agents

Query databases, generate insights, create summaries, and answer business questions from your data — without SQL knowledge required.

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Communication Agents

Draft responses, send follow-ups, manage email threads, and maintain consistent communication across channels.

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Research & Sourcing Agents

Gather market data, competitor insights, vendor information, and research summaries on demand — saving hours of manual research.

FAQ

AI Agent Development — Questions

A chatbot responds to messages with predefined or generated text. An AI agent can also take actions — calling APIs, updating databases, sending emails, scheduling meetings — based on the conversation. Agents complete tasks, not just conversations.
We primarily use OpenAI GPT-4, Anthropic Claude, and open-source models via Ollama depending on your data privacy requirements. For orchestration, we use LangChain, LangGraph, and custom agent frameworks built for production reliability.
We use RAG (Retrieval-Augmented Generation) to ground the agent's responses in your actual business data and documents. Hallucination is controlled by limiting the agent to verified data sources and implementing confidence thresholds with fallback to human escalation.
A focused single-function agent typically takes 3–4 weeks from discovery to deployment. Multi-agent systems with complex integrations typically take 6–10 weeks. We use iterative sprints so you see a working agent from week 2 onwards.

Build an AI agent that works inside your business, not outside it.

Tell us what task you want automated. We'll design an AI agent that integrates with your systems and handles it end-to-end.