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AIDEM LABS · STATUS ONLINE
AI PRODUCT STUDIO · EST. 2024
AI AGENTS · INTEGRATIONS · PRODUCTS

SERVICE · AI AGENTS

AI agent development

Autonomous agents that carry out multi-step work on their own: answering, qualifying, following up and taking action inside the tools your team already uses.

The agents department in the Aidem Labs 3D office, with teams at their desks
The agents department in the Aidem Labs 3D office, with teams at their desks. Walk through it →

What it is

An AI agent is software that is given a goal rather than a script. It reads the situation, decides what to do next, uses tools such as your CRM, calendar, inbox or database, and keeps going until the job is done or it needs a person.

Aidem Labs designs and builds agents for real operational work, then runs them in production. We scope what the agent may and may not do, connect it to your systems, and put guardrails and human handoff in place before it talks to a customer.

What you get

  • Agent design: goals, tools, permissions and the points where a human takes over
  • Integration with the systems the agent needs to read from and act in
  • Guardrails, logging and review so every action is traceable
  • Evaluation against real conversations and tasks before launch
  • Deployment, monitoring and iteration once it is live

Where it fits

  • Sales agents that qualify inbound leads, answer questions and follow up
  • Voice agents that answer calls, book appointments and hand off to staff
  • Support agents that resolve routine requests and escalate the rest
  • Back-office agents that move data between systems and chase missing information

Questions about AI agents

What is the difference between an AI agent and a chatbot?

A chatbot answers messages. An AI agent is given a goal and can take actions toward it: looking things up, updating records, sending messages and booking time, across several steps, without a person driving each one.

Can an AI agent work with the tools we already use?

Yes. Aidem Labs connects agents to existing systems such as CRMs, calendars, email, phone lines and internal databases through their APIs, so the agent works inside your current process rather than replacing it.

How do you keep an AI agent from doing the wrong thing?

By limiting what it is allowed to do, logging every action, testing it against real cases before launch, and defining clear points where it must hand over to a person.

Start a project

Tell us what you need built and we'll reach out to you by email, or use the inquiry page.

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