AI assistants & agents

Custom AI Agent Development for Business

I build custom AI agents, assistants and chatbots for customer communication, information processing and business workflows. I connect n8n, CRM systems and APIs with agreed permissions and optional human approval steps tailored to project requirements.

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01 / AI assistants & agents

AI solutions I develop

AI Assistants for Business

Find answers in approved materials and prepare drafts and summaries to support employees in their daily work.

Intelligent chatbots

Answer common customer questions, clarify requests and hand complex enquiries over to a person. For more on the bot’s role and human handoff, read “An AI chatbot that does not annoy customers”.

Custom AI Agents

Call approved tools to look up a CRM record, prepare a task or trigger an n8n workflow. We agree on access limits and whether individual actions need confirmation in advance.

Message and document processing

Classify text, extract relevant fields and prepare structured data. We check file formats and extraction quality using your examples.

Business tasks they help with

Initial enquiry handling

Identify the topic of a message, collect necessary details and route the enquiry to the right team member.

Working with internal knowledge

Find information in accessible guides and documents, with source references where supported by the chosen workflow.

Preparing information

Summarise conversations, draft replies and extract data for review before it is recorded in business systems.

Connecting business workflows

Pass checked results to a CRM, trigger agreed workflows and notify the team through connected services.

AI can make mistakes. Depending on project requirements, we can add human review for ambiguous requests and important decisions, as well as a way to stop the workflow.

Tools and technology

Language models via APIs

Model instructions, context handling and output structure validation. I select a model by testing it against the agreed tasks.

n8n AI Agents

I connect a language model to approved tools in n8n workflows: receiving requests, retrieving data, calling APIs and passing on results. Human approval for selected actions can be added to suit project requirements. For workflows with defined rules, explore business automation.

AI Integration with CRM Systems and APIs

I connect AI to CRM systems to retrieve records, prepare tasks and pass on validated data. Available operations depend on APIs and permissions; record changes follow agreed rules.

Knowledge base

Prepare documents and retrieve relevant passages for answers. Access to sources follows user roles and agreed permissions.

We choose the stack to match the task, data requirements and budget. Integrations depend on available APIs, permissions and service limitations.

How I Develop and Implement AI Agents

Define the task
Choose a specific process, data sources and criteria for evaluating the results. Before discussing your project, explore three signs your business is ready for AI.
Agree on boundaries
Define permitted actions, access rights, data handling rules and whether human review is needed.
Test a prototype
Check common and difficult requests, incorrect answers and behaviour when connected services are unavailable.
Roll out in stages
Start with a limited workflow, review execution logs and hand over guidance to the team. Ongoing support is agreed separately.

FAQ

Frequently asked questions

About AI capabilities, integrations and reviewing results.

What is the difference between an AI assistant and an AI agent?

An assistant helps people work with information and prepare responses. An agent can also call connected tools and carry out workflow steps. In both cases, the specific workflow defines the capabilities and limits.

Will AI work without human involvement?

Individual agreed steps can be automated, but AI does not guarantee error-free results. Depending on project requirements, we can implement approval for selected actions or hand unusual requests over to a person. We agree on the limits of automation before implementation.

Can you build n8n AI agents connected to my CRM?

Yes. In n8n, a language model can be connected to CRM tools if the required operations are available through APIs or existing integrations. We first check permissions, limitations and data formats, then agree on the permitted agent actions and integration scope.

What is needed to work with documents and data?

We need approved sources, sample files and access rules. Before connecting them, we clarify which data may be sent to the model provider and which processing terms are acceptable for your business.

How much does custom AI agent development cost?

We agree on cost and timing after reviewing the workflow, data sources, integrations and testing scope. Model API usage, hosting and third-party service fees are discussed separately.

Have a task for an AI assistant?

Discuss your solution →

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Let’s discuss AI for your business

Describe the task, information sources and tools your assistant needs to work with.

Where do we start?

1Clarify the taskWho will AI help, and which part of their work should it simplify?

2Review data and accessWhich documents, CRM systems and services need to be connected?

3Define boundariesWhich actions are allowed, and where is human approval needed?

Start with one clear workflow and criteria for testing it.