Enterprise Software Experts

AI Agent Development

AI Agent Development

Build AI-powered agents that work, learn, and automate — for real business outcomes.
Infoloop Technologies helps companies deploy custom AI agents tailored to their business workflows. Whether you need a GPT-based support bot, a task automation agent, or an in-app copilot for your SaaS platform, we build intelligent agents that go beyond basic chat — integrating context, APIs, and memory to deliver true value.

What We Offer

  • Custom GPT-powered conversational agents
  • AI copilots for web or SaaS platforms
  • Task-based automation agents connected to APIs and databases
  • Voice-enabled AI agents (IVR, Twilio, OpenAI Whisper, etc.)
  • Retrieval-augmented generation (RAG) agents trained on internal documents
  • Frontend UI/UX for chat, voice, or in-app interaction
  • Hosting, analytics, and memory management integrations

How It Works

Define the business function: support, sales, task automation, or in-product guidance 
Connect agents to APIs, internal docs, CRMs, or databases 
Engineer personality, tone, and reasoning flow 
Use OpenAI, Claude, Mistral, LLaMA, or custom models based on your needs 
Design chat UI or in-app placement with branded experience 
Test against edge cases, security filters, and context windows 
Launch with usage tracking, feedback collection, and ongoing optimization 

What We Need From You

  • Use case definition (what do you want the agent to solve?)
  • Tools and data the agent should interact with
  • Brand voice and interaction guidelines
  • Feedback schedule for testing and improvements

What You Can Expect

  • Clear use case or department goal (e.g., HR helpdesk, lead gen, SaaS copilot)
  • Access to documents, APIs, or tools needed by the agent
  • Preferred tech stack or integration points (Slack, CRM, app dashboard)
  • Tone, personality, or behavior expectations (optional)
  • Build AI agents that go beyond chatbots to automate tasks, guide users, and answer complex queries.
  • Design with context awareness, data security, and continuous improvement at the core.
  • Handle the full process: from LLM selection to deployment.
  • Keep your teams focused on business outcomes, not infrastructure.
  • Clear use case or department goal (e.g., HR helpdesk, lead gen, SaaS copilot)
  • Access to documents, APIs, or tools needed by the agent
  • Preferred tech stack or integration points (Slack, CRM, app dashboard)
  • Tone, personality, or behavior expectations (optional)

  • Build AI agents that go beyond chatbots to automate tasks, guide users, and answer complex queries.
  • Design with context awareness, data security, and continuous improvement at the core.
  • Handle the full process: from LLM selection to deployment.
  • Keep your teams focused on business outcomes, not infrastructure.


Perfect For

  • SaaS products needing in-app copilots or AI-guided onboarding
  • Support and operations teams aiming to reduce manual tickets
  • Sales teams looking to qualify leads automatically
  • Product teams automating backend workflows or dashboards
  • Enterprises training internal knowledge agents on company data
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