Scattered context
Important details live across messages, meeting records, and files.
A research prototype from Hochschule Harz
Meetings, emails, and company knowledge—connected through an agent-based AI Executive Assistant designed to help managers find what matters and move work forward.
Decisions draw on conversations, documents, and the history behind them. Yet that context often sits in separate tools, leaving managers to search, summarize, and reconnect the pieces themselves.
My Intelligence explores an assistant that can bring relevant information together—while keeping people in control of what they do with it.
Important details live across messages, meeting records, and files.
Actions, decisions, and deadlines can be hard to keep visible.
Past information is valuable only when people can retrieve it.
The first three form the thesis prototype’s core focus. Executive Insights & Business Intelligence describes the wider direction of the system.
Workspace Gmail and Outlook routes analyze recent messages after explicit consent. Connection availability depends on OAuth configuration, provider approval, and account authorization.
The dashboard shows fictional meeting notes. Transcript ingestion and AI extraction of decisions or action items are not implemented.
Workspaces can store selected files and search extracted text by keyword. The demo screen uses fictional sources; vector retrieval and generated answers are not implemented.
A future direction: connect information across the organization to support managerial understanding and decisions.
i These labels separate existing code paths, fictional dashboard samples, and proposed research architecture. Google OAuth configuration and approval have not been verified in this review.
The complete flow below is proposed architecture. Live code paths are summarized separately so the concept is not mistaken for a deployed RAG or multi-agent system.
PROPOSED RESEARCH ARCHITECTURE
Interpretation: The current dashboard’s Meeting, Knowledge, and cross-source panels use fictional sample data. The code paths above still require the relevant provider configuration and the customer’s own authorization.
The deployed dashboard contains account and source-connection routes. Whether Gmail or Calendar can connect depends on server OAuth configuration, provider approval, and your own authorization. Meeting Intelligence uses fictional notes. Private workspaces support keyword search over stored documents and show a direct roll-up of connected sources.
Open the dashboardYour information, brought into focus.
These are the controls visible in the current code. They are not a security certification or a claim of regulatory compliance.
Sign in with your My Intelligence account email and password. Provider accounts are separate. The account API verifies email and uses hashed passwords and secure, HTTP-only session cookies.
Gmail analysis requests read-only access. Sending a Gmail reply requires separate authorization and approval of the specific draft. Calendar access is read-only.
After consent, recent Gmail or Outlook messages may be sent to the configured AI service for analysis. The public demo uses selected analyses published by the owner of the demonstration workspace.
Messages are analyzed read-only. You choose whether to add extracted email actions to the Action Hub. No autonomous email sending or calendar changes are implemented.
Prototype boundary: Some legacy endpoints still use a single-user session and global storage, and the account service has not had a full production security review. Do not interpret this site as GDPR compliance, enterprise-grade security, or complete tenant isolation.
A prototype-based Master's thesis at Hochschule Harz, developed in the context of collaboration with New Digital Intelligence (NDI).
The thesis explores whether a context-aware assistant can help managers find relevant organizational information and follow through on work. The website separates the current prototype from the broader proposed architecture.
How can an assistant help managers retrieve business context and follow through on work—while making its benefits and limitations visible?
Develop a bounded prototype that demonstrates selected information-access and follow-up workflows, then assess its usefulness and limitations for managerial support.
The codebase contains a deployed website, account/workspace flows, selected provider routes, an Action Hub, and explicitly fictional meeting and knowledge examples. It does not contain a complete multi-agent or RAG implementation.
The reviewed project files do not document an approved study design, participant sample, or completed evaluation. No user-study results or effectiveness claims are reported here.
A transparent prototype and research framing for connecting business context with managerial follow-through. The contribution is a design artifact and evaluation opportunity, not validated evidence of organizational impact.
MY INTELLIGENCE