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

A chatbot answers questions; an AI agent executes tasks. An agent can read an incoming e-mail, look up the customer in your CRM, draft a response, schedule a follow-up and log the interaction. A chatbot stops after the answer.

How much control do we keep over an AI agent?

Full control. An agent works within rules you set: which actions it may take autonomously, which need human approval, and where it must stop. You can adjust boundaries or pause the agent at any time.

How fast can an AI agent be live?

A working prototype runs within 2 weeks. A full implementation including integrations with your CRM, e-mail and planning systems usually takes 4 to 6 weeks.

Does an AI agent work with our existing systems?

Yes. Agents connect to your CRM, e-mail, planning, accounting or any system with an API. The agent becomes a smart layer on top of your current tools, not a replacement for them.

Is an AI agent realistic for a small company?

Especially for a small company. An agent takes over exactly the tasks that eat the owner's evenings: following up leads, processing documents, answering standard questions. Start with one process and expand from there.

DenkBot

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AI agent development: digital co-workers

DenkBot builds AI agents for small and medium-sized businesses in the Netherlands: digital co-workers that execute tasks instead of only answering questions. An agent follows up leads, processes documents, answers customers and keeps your systems up to date, within rules you control.

Field engineer checks on his phone which tasks the agent has completed

Image: an AI agent's work queue on a phone during a site visit

Short answer.

01
AI agents execute tasks (lead follow-up, document processing, customer service, planning), not just answers.
02
Every agent works within explicit rules: you decide what runs autonomously and what needs approval.
03
Connected to your CRM, e-mail, accounting and planning systems through their APIs.
04
Working prototype within 2 weeks; full implementation in 4–6 weeks.

What an AI agent actually does

An AI agent is software that completes work, not software that waits for input. Where a chatbot answers a question and stops, an agent picks up a task and carries it through: it reads the incoming message, checks your systems for context, takes the agreed action and reports back. The difference sounds subtle; in practice it is the difference between a FAQ widget and a co-worker.

Tasks agents take over

Lead follow-up

A new lead gets a response within minutes instead of days. The agent qualifies the request, enriches it with data from your CRM, drafts a personal reply and schedules the follow-up: every lead handled, even the Friday-afternoon ones.

Document processing

Work orders, invoices, contracts and forms are read, interpreted and posted to the right system. The agent flags anything unusual for a human instead of guessing.

Customer service

Standard questions get instant answers from your own knowledge base; complex cases arrive at your team summarised, with history attached. Response times drop without hiring.

Planning and administration

Appointments, rosters and status updates keep themselves current. The agent moves data between systems that never talked to each other, so nobody retypes anything.

Control is designed in

Autonomy without boundaries is a liability, so every DenkBot agent ships with explicit rules: which actions run autonomously, which require a human click, and which are off-limits. You see what the agent did and why, and you can tighten or widen its mandate at any time. For anything with legal or financial impact we default to human-in-the-loop.

From first agent to digital workforce

The sensible start is one agent for one painful process, proven in production within weeks. From there, most clients expand step by step: the e-mail agent gets a colleague for quotes, then one for planning. Because every agent is built on the same integration layer, each next one is faster to add. What that looks like in practice is documented in our case studies.

Frequently asked questions.

What is the difference between an AI agent and a chatbot?: A chatbot answers questions; an AI agent executes tasks. An agent can read an incoming e-mail, look up the customer in your CRM, draft a response, schedule a follow-up and log the interaction. A chatbot stops after the answer.
How much control do we keep over an AI agent?: Full control. An agent works within rules you set: which actions it may take autonomously, which need human approval, and where it must stop. You can adjust boundaries or pause the agent at any time.
How fast can an AI agent be live?: A working prototype runs within 2 weeks. A full implementation including integrations with your CRM, e-mail and planning systems usually takes 4 to 6 weeks.
Does an AI agent work with our existing systems?: Yes. Agents connect to your CRM, e-mail, planning, accounting or any system with an API. The agent becomes a smart layer on top of your current tools, not a replacement for them.
Is an AI agent realistic for a small company?: Especially for a small company. An agent takes over exactly the tasks that eat the owner's evenings: following up leads, processing documents, answering standard questions. Start with one process and expand from there.

Rather have it explained against your own process?

In 30 minutes with a builder you will hear what this delivers for your business, what it costs and what you can leave alone. No quotation process, no slides. The call is in English or Dutch, your choice.

Book 30 minutes with a builder →Or call directly +31 6 589 574 94Usually a reply within the hour. You will speak to Raphael, Sander or Jurre.