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AI Agents

AI agents that do the work, not just the talking.

We build AI agents and LLM integrations that answer customers, qualify leads and handle internal tasks, connected to your own data, with guardrails you can trust.

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At a glance

  • LLM integration (OpenAI, Gemini, DeepSeek and others)
  • Retrieval-augmented generation (RAG)
  • Multi-agent workflows (LangGraph)
  • Tool use & API actions
  • PII masking & guardrails
  • Human handoff

A useful AI agent is more than a chatbot. It knows your business, looks things up in your systems, takes actions, and knows when to hand over to a human. We design agents around a clear job, connect them safely to your data, and test them against real conversations before they go live.

What we build

AI Agents, done properly.

  • 01

    AI support agents

    Answer common questions, look up orders and accounts, and escalate to a human with full context.

  • 02

    Lead qualification

    Ask the right questions, score the lead and route it to sales or a booking link.

  • 03

    Booking assistants

    Check availability and book appointments over chat, WhatsApp or your website.

  • 04

    Research agents

    Gather, compare and summarise information from the web or your documents.

  • 05

    Internal assistants

    Help your team find answers in policies, docs and past work in seconds.

  • 06

    Knowledge-base agents

    Retrieval-augmented agents that answer from your own content and cite their sources.

Capabilities

What's included

  • LLM integration (OpenAI, Gemini, DeepSeek and others)
  • Retrieval-augmented generation (RAG)
  • Multi-agent workflows (LangGraph)
  • Tool use & API actions
  • PII masking & guardrails
  • Human handoff
  • Evaluation & testing
  • Usage & cost monitoring
Technology

Tools we use

  • Python
  • LangGraph
  • LangChain
  • FastAPI
  • OpenAI
  • Gemini
  • DeepSeek
  • Vector databases
  • Streamlit
  • Docker

We choose the stack per project. These are the tools we reach for most often for AI Agents.

Use cases

Where it pays off

  • Cut first-line support load

    Let an agent handle repetitive questions so your team focuses on the hard ones.

  • Respond to leads instantly

    Reply to every enquiry in seconds, any time of day, and book the good ones.

  • Make internal knowledge searchable

    Turn scattered docs into an assistant your team can simply ask.

  • Add an AI feature to your product

    Summaries, drafting, classification or chat inside your existing app.

How it works

How we deliver AI Agents

Our full process
  1. 1

    Define the job

    Pick one clear task, success criteria, and what the agent must never do.

  2. 2

    Connect the data

    Securely link your documents, database or APIs, with sensitive data masked.

  3. 3

    Build & evaluate

    Test against real example conversations and tune until answers are reliable.

  4. 4

    Launch with oversight

    Go live with logging, human handoff and regular review of conversations.

FAQ

AI Agents FAQs

Something else on your mind? Ask us directly.

  • We reduce this with retrieval from your own data, strict instructions, guardrails and testing against real examples, and we design clear handoff to a human when the agent isn't sure.

  • We send models only what they need, mask sensitive fields such as card numbers before they reach the model, and can use providers and settings that don't train on your data.

  • Whichever fits the job and budget. We build provider-agnostic so you can switch models later without a rewrite.

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Let's talk about AI Agents.

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Prefer email? hello@halfclicks.com

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