AI agent development company for real operations.

    Custom AI agents, chatbots and voice agents that do real work inside your business — integrated with your CRM, WhatsApp, databases and internal tools.

    Overview

    AI Agent Development services that ship.

    Most businesses don't need another chatbot that answers FAQs. They need AI agents that actually complete work: qualifying leads, resolving support tickets, updating records, booking appointments, reconciling invoices and escalating to a human only when it matters.

    ArrLink is an AI agent development company that designs, builds and runs production AI agents for startups and enterprises in India, the US and worldwide. We connect large language models to your real systems through secure tool calling, give them the context they need through retrieval (RAG), and wrap them in the guardrails, evaluation and monitoring that make them safe to put in front of customers.

    The result is an agent that behaves like a reliable team member: it follows your policies, knows your data, logs every action and gets measurably better over time.

    What We Build

    Our ai agent development capabilities.

    Customer support agents

    Agents that resolve tickets end-to-end across chat, email and WhatsApp, pull order and account data, and hand off to your team with full context.

    Sales & lead qualification agents

    Agents that respond to inbound leads in seconds, qualify them against your criteria, update your CRM and book meetings on your calendar.

    Voice AI agents

    Low-latency phone agents for inbound and outbound calls — appointment booking, reminders, surveys and first-line support in multiple languages.

    Back-office & workflow agents

    Agents that process documents, extract data, reconcile records and trigger downstream workflows across your ERP, CRM and spreadsheets.

    Internal knowledge assistants

    Secure assistants that answer employee questions from your docs, wikis and tickets with source citations and role-based access.

    Multi-agent systems

    Coordinated agents that plan, delegate and verify each other's work for complex, multi-step processes that a single prompt can't handle.

    Use Cases

    Where it pays off.

    E-commerce

    Order tracking, returns and refunds handled automatically across WhatsApp and web chat.

    Healthcare

    Appointment scheduling, intake forms and insurance pre-checks with HIPAA-aware data handling.

    Finance

    KYC document checks, collections reminders and customer queries with full audit trails.

    Logistics

    Shipment status, exception handling and driver coordination without manual follow-ups.

    How We Deliver

    From kickoff to production.

    1. 01

      Workflow mapping

      We map the exact process the agent will own, the systems it touches and where a human must stay in the loop.

    2. 02

      Prototype in days

      A working agent on your real data within the first sprint, so you can judge quality before committing further.

    3. 03

      Evaluation & guardrails

      Test suites of real conversations, policy checks, PII redaction and fallback rules — measured before launch, not after.

    4. 04

      Integration & launch

      Secure connections to your CRM, helpdesk, WhatsApp Business API, telephony and databases, rolled out gradually.

    5. 05

      Monitor & improve

      Dashboards for resolution rate, cost per task and escalations, with continuous prompt and retrieval tuning.

    Why ArrLink

    Why teams choose ArrLink.

    Production, not demos

    We've shipped AI into regulated domains like healthcare — guardrails, evaluation and monitoring are built in from day one.

    Model-agnostic

    We pick the right model for accuracy, latency and cost — including private, self-hosted models when your data can't leave your infrastructure.

    You own everything

    Source code, prompts, evaluation sets and infrastructure are yours. No per-seat licensing, no lock-in.

    Technology stack

    • Claude
    • GPT
    • Gemini
    • Llama & open-source LLMs
    • LangGraph
    • OpenAI Agents SDK
    • MCP
    • Pinecone / pgvector
    • Twilio & WhatsApp Business API
    • Python
    • Node.js
    • AWS / GCP / Azure
    Related Work

    Proof in production.

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    FAQ

    Questions, answered.

    Can't find what you need? Email info@arrlink.com.

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

    A chatbot answers questions. An AI agent takes actions: it can look up data, call APIs, update records and complete multi-step tasks on its own, while following rules you define and escalating to a human when needed.

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

    A focused first agent typically takes 3–6 weeks from kickoff to production, including integrations and evaluation. We usually have a working prototype on your real data within the first one to two weeks.

    How much does AI agent development cost?

    Cost depends on the number of workflows, integrations and channels (chat, WhatsApp, voice). Every engagement is scoped individually — after a free strategy call we send a fixed proposal with timeline and cost.

    Can the AI agent integrate with our CRM and WhatsApp?

    Yes. We regularly integrate agents with CRMs like HubSpot, Salesforce and Zoho, helpdesks like Zendesk and Freshdesk, the WhatsApp Business API, telephony providers and custom internal APIs.

    How do you stop AI agents from making mistakes?

    We combine retrieval from your verified data, strict tool permissions, policy checks, confidence thresholds with human handoff, and automated evaluation on real conversations before and after every release.

    Free Strategy Call

    Have a problem worth solving?
    Let's build it.

    Tell us what you're trying to build. In one 30-minute call we'll map the scope, the fastest path to production and a tailored proposal — no obligation.