AI Agents for Marketing and Sales, With People in the Loop

Cost depends on the number of tasks, the condition of your existing content, the channels and the integrations required. There are also ongoing model usage and review costs. We scope and price the work after a growth audit, and do not publish a fixed fee.

A narrow pilot is commonly live within one to two months. Most of that time goes on preparing accurate content and testing, not on the technology. Widening the scope afterwards is gradual, and depends on how the agent performs in reviewed conversations.

They can be if you receive enough repetitive enquiries that replies are slow or missed, particularly out of hours. If enquiries are few, or each one is complicated, a person with good templates is usually the better answer. We check volume and topics before recommending a build.

A traditional chatbot follows a fixed decision tree and can only handle what its author anticipated. An AI agent uses a language model to understand varied questions, compose answers from your content and take actions through connected tools. It is more flexible and needs more supervision.

Yes. Language models can produce confident statements that are incorrect or unsupported. Grounding in approved content, a narrow scope, guardrails and regular review reduce how often this happens, but nothing removes it completely. That is why high-stakes topics are routed to a person.

We always do. It is honest, customers respond better when they know, and some jurisdictions and platforms require it. The agent introduces itself as automated at the start and offers a route to a person at any point in the conversation.

A sample of real enquiries, your approved product, service and policy content, and access to the CRM, calendar and chat channels. We also need a named person who can confirm facts, and agreement on which team receives conversations the agent hands over.

We score a sample of conversations for accuracy and appropriateness, and track response time, handover rate, qualified meetings booked and what sales says about lead quality. A high share of chats resolved without a person is only good if the answers were correct.

It depends on how the agent is built, so we design for it. We limit what the agent collects and can access, review the data terms of the model and tools used, and avoid sensitive categories unless there is a clear, lawful basis. Your own legal review should confirm the setup.