Knowledge-grounded answers
We prepare documents and available knowledge sources for the use case, designing for visible sources, freshness and limitations.
- Knowledge source structure
- Answers and source presentation
AI SERVICES / ASSISTANTS & AGENTS
You say it.It becomes action.
We build AI assistants that understand your notes, plan the work and move with you. Try it with a meeting note.
Let’s adapt it to your businessFROM NOTES TO ACTION
Project assistant
Your words become a plan that works together.
01 / YOU SAY IT
Meeting over. What happens next?
Describe who needs to do what, and when. We’ll fill in the gaps together.
Changing the notes resets the board.204 / 2400
⌘ / Ctrl + Enter
A prepared output example; no AI is run.
When you run it, your notes are sent to OpenAI for processing. The board stays on this page.
02 / IT BECOMES ACTION
One step beyond the conversation.
Tasks, owners, dates. Everything your notes turn into will find its place here.
Start with your notes; let’s work out the next step together.
Intelligence that starts with a conversation and carries into your work.
AI Assistants and Agent Development
Turn company knowledge into answers and controlled actions.
We develop AI assistants for specific tasks your teams or customers need to complete. Knowledge sources, access boundaries, response behavior and tool use are designed together.
An assistant that answers questions and an agent that acts in other systems need different scopes. Permissions and human oversight follow the use case.
What we deliver
Make the source of an answer and the scope of action clear.
Tools and actions
We define which services the assistant can use and when, connecting data retrieval, drafting or initiating a specific action in a controlled way.
- Tool contracts
- Approved action flows
Evaluation and operation
We define useful answers and successful tasks through example scenarios, evaluating quality, latency, cost and failure behavior together.
- Evaluation scenarios
- Usage and monitoring plan
The work in context
An assistant that answers, shows sources and prepares the next step.
An example knowledge assistant can organize documents around a question and prepare a draft. Reviewing sources and approving an external action are part of the designed flow.
- Source context
- The information supporting an answer is presented to the user.
- Controlled action
- Action permissions and approval points follow the use case.
How we work together
From a defined task to an evaluated assistant.
Deliverables and the working plan are defined around the needs of your project.
Define the task
Define the user, information need and success criteria.
OutputUse caseSources and access
Review knowledge, permissions and connected tools.
OutputKnowledge and access planPrototype and evaluate
Test behavior against example questions and tasks.
OutputEvaluable prototypeImplementation
Complete the interface, monitoring and human approval where needed.
OutputControlled usage flow
Engineering in the details
Capabilities and boundaries need equal attention.
Knowledge access
Information a user cannot access should not become available through the assistant.
Uncertainty
Insufficient information and unverified answers need clear feedback and next steps.
Action boundaries
Tool inputs, permissions and failure conditions are validated by the application.
Common questions
Let's start with your questions.
How does an assistant use our company knowledge?
We review source types and access, then design retrieval and response flows. Freshness, ownership and user permissions are part of the scope.
Should an agent act autonomously on every task?
No. Permissions and automation depend on the task’s impact. Drafting, acting with approval and providing information are different design options.
How are data handling and model providers chosen?
Data types, provider terms, hosting needs, cost and quality expectations are considered together. Appropriate access and processing conditions are defined at the start.
What should your assistant help people do?
Share the users, the knowledge they need and the output you expect.