Start with a real task
We select a defined application and agree what a useful result looks like. Not every process needs AI.
AI & Microsoft Foundry
AI with Microsoft Foundry.
Useful in your daily work.
Finding information in business documents, organising requests or preparing data? Radorfa investigates useful AI applications and develops suitable solutions with Microsoft Foundry.
Start with your question. We agree the work and costs before starting.
What this means for your team
Consider sources and access
We define which information the application can use and who may see it, with explicit permissions and data flows.
Keep evaluating results
We test answers and actions with examples, monitor exceptions and agree where a person must review the result.
A possible application
A document assistant that shows its sources.
An employee asks a question about internal documents. The application retrieves permitted sources and proposes an answer with references. We test whether documents support the answer and how it behaves when information is missing.
Application example. AI can make mistakes; checking sources and human review are part of the design.
- Question
A colleague asks about internal work instructions.
- Source and access
The application searches permitted information and checks agreed access.
- Review the answer
The answer references its source. Insufficient information is explicitly reported.
With Microsoft Foundry, we evaluate sample questions, incorrect answers and behaviour outside the agreed task.
What Radorfa takes care of
Microsoft Foundry from first test to managed application
Discuss your AI application →Define the application and sources
We discuss users, documents, systems and the task. We then choose suitable models, instructions and tools. Microsoft Foundry supports development and management of models, agents and AI applications.
Configure access and integrations
We configure access to sources and required APIs. Agents receive only agreed actions. Actions that change business data require appropriate permission, review and error handling.
Evaluate and manage
We test answer quality, source use and difficult questions. Evaluations, tracing and monitoring help investigate failures. Model versions, configuration, deployment and consumption receive clear management arrangements.
From setup to everyday use
Useful AI starts with answers you can assess
We review responses using examples from the intended process. Sources, access and error handling receive as much attention as the model.
Our approach
A clear next step, at every stage.
Choose a suitable task
We define the goal, sources and boundaries for an initial trial.
Build and evaluate
We test familiar examples, missing information and unwanted actions.
Introduce with control
We agree access, human review, monitoring and changes.
Before we start
Your questions, answered.
What is Microsoft Foundry in plain language?
A Microsoft platform for developing, testing and managing AI models, agents and applications. The components needed depend on the task and environment.
Is it the same as Power Automate?
Power Automate supports defined process steps and integrations. AI can help interpret information or propose answers. They can work together where appropriate.
Will everyone have access to our business data?
The application needs suitable permissions and data flows. We discuss sources, storage, access and relevant service settings before connecting information.
What determines the cost?
Development, integrations, data processing, model use and management. A small trial can help evaluate usage and required checks before expansion.
Tell us about your situation
Discuss your AI application
Describe a task where searching, reading or sorting takes too much time. We discuss whether a small trial with Microsoft Foundry is useful and how to assess it.