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AI agent and chatbot development

Do customers ask the same questions? We build AI agents and chatbots connected to your materials and CRM. We agree what the agent can answer, what it can do and when to bring in a person.

Discuss your requirements
Before we startScope and budget
After launch30 days of support

An agent with a clear role and boundaries

We start with the questions an agent should answer and the actions it is allowed to take. We build a knowledge base from approved materials and connect the required channels and tools. We configure handover and test incomplete or conflicting information. Quality is assessed through test conversations before launch and real enquiries afterwards.

An agent for your scenario

Support, lead qualification, appointment booking, product advice — we design the logic around your specific process.

Company knowledge base

We build a knowledge base from your documents and catalogue. We test answer accuracy and set up human handoff when information is missing.

CRM and messenger integrations

We connect the agreed channels and CRM. Before development, we check their APIs, permissions and data-sharing rules.

Control and human handover

We set up handoff to a manager with the conversation history and agree which enquiries need human involvement.

What the work includes

This is what the work can include. We will decide what your project needs together and agree the scope before starting.

Requirements and prototype

  • Workflows and constraints
  • First-release functionality
  • Key screen prototypes

UX/UI design

  • Interface structure
  • Responsive layouts
  • States, errors and guidance

Development and integrations

  • Workflows and knowledge base
  • Communication channels and CRM
  • Agent actions and human handover

Testing and launch

  • Testing agreed workflows
  • Access and documentation
  • Post-launch support

How we work

You see the work at each stage and can ask questions. Your technical lead helps with decisions, and the weekly update shows what is done and what comes next.

01

Request and scenario analysis

We study real customer conversations: which questions repeat, where leads get lost, and what can be automated without losing quality.

02

Agent design

We define roles, tone of voice, boundaries and escalation rules, and prepare a knowledge base from your materials.

03

Development and integrations

We connect the agent to messengers, your website and CRM, and set up automatic creation of leads, deals and tasks.

04

Testing on real conversations

We run the agent through typical and tricky cases and fix weak spots before it faces live customers.

05

Launch and feedback loop

After launch, we review conversations and errors. Under an agreed plan, we update the knowledge base and agent rules, then test changes in sample conversations.

A project from our portfolio

Explore the design, pages and details of a LONCH project.

Before you start

Cost, preparation and project support.

Where does the agent get its answers?

From an approved knowledge base and connected systems. We define allowed sources, update responsibilities and checks for current information.

Can the agent hand over to a person?

Yes. We define escalation triggers, the customer message, conversation history and the handover channel. The exact features depend on the connected services.

What determines the development cost?

The cost depends on workflows, design complexity, integrations, data migration and available materials. After clarifying the brief, we define the scope and estimate. The budget is agreed before development starts.

How is the launch timeline agreed?

We review the scope, external dependencies and content readiness before agreeing milestones. If you need an earlier release, we define which functions belong in the first version.

What happens after launch?

We provide 30 days of support after release and help with launch issues and team questions. Further features and product development are planned separately.

Show us the questions that keep coming up.

Share a few enquiries without personal data and tell us where you talk to customers. We will suggest a scenario for the first test.

Discuss a project