"AI agent" is one of the most used phrases in software right now, and one of the most misunderstood. A chatbot answers questions. An agent gets work done: it reads context, decides what to do, calls tools such as your CRM or database, checks the result and keeps going until the task is finished.

Where AI agents pay off today

  • Customer support: answering routine questions, looking up orders and escalating the hard cases to people.
  • Operations: triaging emails and tickets, filling forms, reconciling records between systems.
  • Sales: researching leads, drafting personalised outreach and updating the CRM.
  • Internal knowledge: answering staff questions from your own documents with sources attached.

For example, the Kortex support assistant we built now handles 85% of incoming inquiries automatically and cut operating costs by 48%, while keeping a 4.9/5 customer rating — because humans still take over whenever the agent isn't sure.

How an agent is built

  • A model: Claude, GPT, Gemini or an open-weight model, chosen per task for quality, speed and cost.
  • Tools: well-described functions the agent can call — search, read a record, create a ticket, send an email.
  • Memory: retrieval (RAG) over your documents plus short-term memory of the conversation.
  • Guardrails: permissions, spending and rate limits, and clear rules for when to hand off to a human.
  • Evaluation: a test set of real tasks that every change must pass before it reaches users.

Launch it safely

Start narrow

Pick one workflow with clear success criteria and plenty of examples. "Answer shipping questions" beats "handle all support".

Keep a human in the loop

Let the agent draft and a person approve at first. Widen its autonomy as the evaluation scores prove it's ready.

Measure everything

Track resolution rate, escalation rate, cost per task and customer satisfaction from day one. Agents improve fastest when you can see exactly where they fail.

The goal isn't to replace your team. It's to take the repetitive 80% off their plate so they can focus on the 20% that needs judgement.

Thinking about an agent for your business?

Softisia designs, builds and runs AI agents and LLM features in production. Share the workflow you want to automate and we'll tell you honestly whether an agent is the right tool.