A focused objective
The agent receives one understandable task and a clear definition of useful performance.
AI solutions
AI solutions designed around a real workflow
We design focused AI agents and automations that support information handling, customer communication and repetitive work. Implementation begins with the business need, not the technology.
- Project-specific scope
- Human oversight
- Documented data flows
Practical AI
An AI solution belongs in a workflow, not in isolation
A useful solution combines a clear task, approved information, agreed systems and human responsibility. Initial delivery may remain manual or semi-automated before broader automation is justified.
Approved knowledge
The solution uses only information sources and permissions approved for the project.
Controlled responsibility
Important decisions, exceptions and publishable content can remain subject to human review.
How is an AI agent different from a simple chatbot?
A simple chatbot typically answers a defined set of questions. An AI agent can be designed to use approved knowledge, guide workflow steps and prepare actions within agreed rules. It still needs boundaries, oversight and quality review.
Business use cases
Start with one clear, repetitive need
The best first use cases are easy to scope, repeat frequently and remain reviewable by a person.
Handling common questions
Prepare answers from approved service and company information.
Qualifying inbound leads
Collect relevant context and help sales identify a sensible next step.
Routing inquiries
Classify incoming requests and direct them to an agreed person or process.
Collecting booking information
Gather necessary details before a booking is confirmed by a person.
Email and content drafts
Prepare drafts for human review before they are sent or published.
Monitoring SEO tasks
Bring together agreed observations and reminders for continuous optimization.
Connecting business tools
Move information between agreed tools through a project-specific integration.
Agent catalogue
Solution patterns for different business needs
The catalogue presents implementation directions, not one-click products. Each solution is scoped, configured and tested for the business.
Available for consultation
The use case can be assessed and planned as a project.
Customizable
The solution pattern is defined, while workflow, knowledge and integrations are built for the customer.
Coming Soon
The concept is planned but not yet offered as a ready implementation.
Agent status: Customizable
AI Customer Service Agent
Repetitive customer questions take time and answers may vary.
More consistent answer drafts and clearer guidance to the right service.
Agent status: Customizable
Lead Qualification Agent
Inquiries often lack the basic context required by sales.
More structured initial information and a clearer next step for the sales team.
Agent status: Customizable
Booking and Contact Agent
Booking and inquiry details are collected across several manual steps.
Required details can be gathered before human confirmation and follow-up.
Agent status: Coming Soon
Email Agent
Preparing repetitive email responses consumes specialist time.
Drafts based on approved information, ready for human review.
Agent status: Coming Soon
Content Agent
Collecting and structuring content ideas takes significant time.
Drafts aligned with brand guidance and reviewed before publication.
Agent status: Coming Soon
SEO Monitoring Agent
SEO tasks and observations can become scattered across tools.
Consolidated observations, task reminders and monitoring inputs.
Agent status: Available for consultation
Custom AI Solution
The business has a workflow that does not fit a standard pattern.
A focused plan that makes responsibilities, data flows and delivery approach visible.
Implementation process
Five stages from need to controlled launch
A solution is not activated directly from the catalogue. We first confirm the use case, responsibilities and technical boundaries.
- 1
Needs assessment
We identify the problem, users, objective and current workflow.
- 2
Workflow design
We define the agent's task, boundaries, approvals and exception paths.
- 3
Integration and configuration
Only agreed information sources and systems are connected within project scope.
- 4
Testing and launch
We test normal situations, error paths and human review points before use.
- 5
Monitoring and improvement
We review quality, usage and change needs in the agreed manner.
Integrations
Connections are designed around the project
Integration feasibility depends on the system, its interfaces, available permissions and privacy requirements.
The categories below are possible connection points, not a promise of a ready-made integration.
- Website forms
- CRM
- Calendars
- Spreadsheets
- Internal knowledge sources
- Approved external systems
Privacy and human oversight
Data flows and responsibilities are defined before implementation
The solution is designed with GDPR principles in mind, while exact obligations and lawful grounds must always be evaluated for each project.
Limited access
The agent receives only the access required for its agreed task and approved information.
Transparent external processing
When an external AI service processes data, the processing and relevant implications are documented appropriately.
Human review
Important decisions, exceptions and outward-facing content can remain reviewable by a person.
Project-specific documentation
Information sources, transfers, permissions and retention-related choices are documented within the agreed scope.
This description is not a legal guarantee or privacy advice. The final model depends on the use case, data and selected services.
Pricing model
Cost reflects implementation, maintenance and usage
Instead of one fixed price, the proposal reflects what the solution does, what it connects to and how it is supported.
Setup fee
Assessment, workflow design, configuration, testing and documentation.
Monthly maintenance or subscription
Agreed monitoring, updates, technical maintenance and support level.
Usage-based costs
Potential AI model, messaging, storage or integration costs based on actual use.
Custom project pricing
Broader integrations and specialized workflows are priced as a project.
Final pricing depends on
- Number and complexity of integrations
- Usage volume
- Workflow complexity
- Preparation of information sources
- Required support and monitoring level
A final proposal is provided after assessment and scoping. Public fixed prices have not yet been approved.
Frequently asked questions
About AI solution delivery
Is an AI agent the same as a chatbot?
Not necessarily. A chatbot usually answers questions in a conversation. An AI agent can be scoped to use approved knowledge, prepare workflow steps and route information, but it still needs clear rules and oversight.
What does customizable mean?
The solution pattern exists, but workflow, information sources, permissions, integrations and human review points are designed for your business. It is not a one-click product.
Are all agents in the catalogue already available?
No. Customizable solutions can be assessed as projects, Coming Soon items are concepts, and a custom solution is available for consultation. Every card shows its current status.
Can delivery begin without full automation?
Yes. A process may begin with a manual or semi-automated model. This helps confirm quality, responsibility and practical value before broader automation.
How is company data handled?
Information sources, permissions, external processors and retention-related choices are agreed and documented for each project. Access is limited to what the task requires.
Can the solution connect to our current tools?
Potentially. Feasibility depends on available interfaces, permissions, privacy requirements and project scope. An integration is confirmed only after technical assessment.
Do you have a workflow that AI could support?
Start with a focused need. We assess the benefit, data flows and human responsibility before deciding on implementation.