Custom AI Agents That Handle Sales, Support and Shopping

The cost of an AI agent depends on how many systems it connects to, how much content it needs to learn and how many channels it runs on. A focused support or lead qualification agent costs far less than a multi-step agent that edits records across several tools. Codefreex scopes a first workflow on a free discovery call and sends a detailed quote, plus an estimate of ongoing model usage costs.

A chatbot mainly answers questions, while an AI agent can also take actions to complete a task. A chatbot might explain your return policy. An agent can check the order, confirm it is eligible, create the return label and email it to the customer. Agents combine language models with tool access, memory and rules, which is why they need stronger testing and tighter permissions.

A focused AI agent for one workflow usually reaches a supervised pilot in a matter of weeks, not months. That time covers mapping the workflow, building and testing a prototype on your content, connecting your systems and running the pilot with your team. Agents that span several departments or need custom integrations take longer. Codefreex shares a timeline after the first audit, before any build work starts.

We choose the model per task rather than locking you into one provider. Codefreex builds with models from OpenAI, Anthropic and Google, and can use open-source models where data must stay on your own infrastructure. We test candidate models against your real conversations and pick based on accuracy, speed and cost. The agent’s design lets you switch models later without a rebuild.

Yes, when the agent is built with data protection from the start. Codefreex gives each agent only the permissions its job needs, keeps credentials out of prompts, uses API plans whose terms exclude your data from model training, and logs every action for review. Sensitive steps, such as refunds or account changes, can require human approval before they run.

Yes. Every agent we build has clear handoff rules, such as low confidence, an upset customer, a high-value deal or a request outside its scope. When a handoff triggers, the conversation moves to your team in your help desk, CRM or Slack with a summary attached, so the customer never has to repeat themselves.

Yes. Codefreex built Enverif, an AI lead intelligence platform whose generative assistant, Agent Ekka, writes personalized icebreakers and full cold email sequences for sales reps. We also build and run our own AI products, such as Prosyo, which handles LinkedIn and email outreach through MCP. That product work shapes how we design, test and maintain client agents.