AI Support Agent: 24/7 Service

Always-on customer support. Includes RAG (Retrieval-Augmented Generation), Sentiment Analysis Handoff, Action-Based Agents and Multi-Lingual Support…

An AI support agent answers customer questions and resolves routine tickets around the clock. IQDigital builds LLM-based support agents grounded in your own knowledge base through retrieval-augmented generation (RAG), connected to Intercom, Zendesk or Salesforce so they can take actions like refunds and order lookups, and set to hand frustrated customers to a human.

Who it's for

  • Support teams whose ticket volume grows faster than headcount
  • Businesses with customers in several languages and time zones
  • Teams burned by rigid decision-tree chatbots

What is an AI support agent?

Customer support is the frontline of brand reputation, but human scaling is linear and expensive. IQDigital deploys AI Support Agents that provide infinite scale with zero latency. We do not build 'dumb chatbots' with rigid decision trees. We engineer Large Language Model (LLM) agents (powered by OpenAI or Anthropic) that understand context, nuance, and sentiment, capable of resolving complex Tier-1 and Tier-2 tickets without human intervention.

How it learns your business and takes action

We train these agents on your specific knowledge base—your FAQs, past ticket history, and technical documentation—using RAG (Retrieval-Augmented Generation). This ensures the AI cites your actual policies rather than hallucinating answers. We integrate them directly into Intercom, Zendesk, or Salesforce, allowing them to perform actions like processing refunds, checking order status, or updating account details via API calls.

When it hands off to a human

We implement 'Sentiment Guardrails.' If the AI detects frustration or a complex edge case, it seamlessly hands off the conversation to a human agent, providing the human with a full summary of the interaction so they don't have to ask 'how can I help you' again. This hybrid model reduces support costs by up to 70% while actually increasing CSAT scores due to instant response times.

What's included

  • RAG (Retrieval-Augmented Generation) — Grounding AI in your specific data.
  • Sentiment Analysis Handoff — Intelligent escalation to humans.
  • Action-Based Agents — AI that can execute API tasks (refunds, updates).
  • Multi-Lingual Support — Instant translation for global customers.

How an engagement runs

  1. Diagnose (Week 1) — We find the money before we spend yours.
  2. Build (2–8 weeks) — Senior engineers. Your stack. Weekly proof.
  3. Launch (Go-live) — Released against a baseline, not a hope.
  4. Compound (Ongoing) — The second month should beat the first.

How the work is scoped

  • Engagement: Fixed-scope build, then monthly run & improve

Questions about AI Support Agent

How do you reduce the risk of the AI making up answers?

The agent retrieves your own material — FAQs, past tickets and technical documentation — through retrieval-augmented generation (RAG) and answers from it, which makes invented answers far less likely than with a general-purpose chatbot. It does not remove the risk entirely, so complex or sensitive cases are handed to a human.

Which help desks does it work with?

Intercom, Zendesk and Salesforce. The agent works inside your existing help desk and can call its APIs to process refunds, check order status or update account details.

What happens when a customer gets frustrated?

Sentiment guardrails detect frustration or complex edge cases and hand the conversation to a human agent, together with a summary of the conversation so the customer does not have to repeat themselves.

Which AI models do you use?

Large language models from providers such as OpenAI and Anthropic, chosen for the use case. The agent can also support customers in multiple languages.

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What IQDigital provides

IQDigital designs, deploys and operates production AI and growth systems for European businesses. Engagements are founder-led, integration-aware and built around measurable operational or commercial outcomes.

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