01
Microsoft 365 AI assistant
An assistant connected to company documents and conversations, with sourced answers and checks before tool execution.
OutcomeAssistant deployed in a confidential client environment
PythonFastAPIpydantic-ai+3
Loading...
Loading...
I design document assistants integrated with your tools, with controls over sources, access and actions.
Response within 24h. No sales follow-up if it's not the right time.
A useful assistant needs to retrieve relevant information and make its origin verifiable. Discovery covers the sources to connect and access rights to respect.
Allowed actions are defined with the business: permitted tools, decisions to reject, human approvals and traces to retain.
Hosting and model selection depend on your data and operational constraints.
A 2026 client assignment illustrates this approach, from product vision to deployment.
Documents and conversations in Microsoft 365
Multi-format ingestion, PostgreSQL/pgvector retrieval and a Python/FastAPI API
Answers linked to identifiable, authorised sources
Tool actions requiring control
Classification before execution, blocking on rejection and human review
Guardrails integrated into the deployed assistant
Traceability with limited retention
Minimised logging and trace purging
Trace retention rules designed into the system
An assistant connected to company documents and conversations, with sourced answers and checks before tool execution.
AI-assisted customs classification based on hybrid retrieval and explainable outputs.
Identify users, decisions to support, available sources and business constraints.
Define scope, acceptance criteria, access rules and cases requiring human review.
Build incrementally, test failure scenarios and document decisions with the teams.
Prepare go-live, usage monitoring and the measurements needed to evaluate benefits.
RAG connects answers to documentary sources. Retrieval quality still needs testing, unanswered cases need handling, and the use case may require human validation. Sources make answers verifiable.
This depends on the architecture and model provider selected. We document data flows, information sent to the model, access and retention before choosing hosting.
The client environment is confidential and not publicly accessible. The case study describes delivered capabilities and governance decisions, with no public access or demonstration.
An AI use case to scope, an assistant to integrate or a BA assignment to support? Let’s discuss your needs.
Response within 24h. No sales follow-up if it's not the right time.