The problem
Many companies want to use AI but run into practical questions: which model to choose, how to connect AI to internal systems, how to avoid wrong answers and how to keep costs under control.
How we approach it
- We choose the model for the use case: Claude (Anthropic), OpenAI models or Gemini (Google), through the vendor’s API or through cloud services.
- We connect AI to your systems through well-defined tools and APIs, with least-privilege access.
- We build automated tests (evaluations) to measure answer quality before and after every change.
- We set clear limits: what the agent does on its own, when it asks for confirmation and when it hands the conversation to a person.
- We monitor cost, response time and quality in production.
What we build
- AI agents: assistants that query systems, carry out tasks and explain what they did.
- Agentic flows: multi-step processes in which models and business rules work together.
- Agentic automations: repetitive back-office tasks run with human oversight.
- Chat automation: on your website and on WhatsApp, with handoff to a person when needed.
An example on this website
The assistant on this website is an example of our work. It answers from the content of these pages, tells you it is an AI, only talks about Monk Business and registers a quote request only after you confirm your details.
What you get
- A solution in production, integrated with your systems.
- Automated evaluations and tracking of cost and quality.
- Documentation of the behavior, limits and operation.