Here’s what happens right now if you want to know the status of a project;
Not that your people are not able to do this, but this disparate infrastructure means they take more time in finding things than actually working on them.
DynaTech's DevOps Status Agent is built to fix this varied workflow and bring harmony in DevOps monitoring, and change how delivery teams access and share project intelligence.
Operating natively inside Microsoft Teams, our DevOps AI agent connects to your Azure DevOps environment through configured API layers and surfaces live sprint data, pipeline health, and work item status through natural conversation.
This means that without logging to the dashboard, creating manual reports, and compiling them, you can get status updates, find information, and do a lot more with our smart agent without switching to different applications.
Microsoft Copilot embedded in Teams is a capable productivity layer and is already being used to;
That’s it. Copilot isn’t built as an agentic AI system; it's an AI agent that has limitations to its work scope. Moreover, Copilot lacks operational awareness of your sprint structure, pipeline configurations, or Azure DevOps project hierarchy.
DynaTech's DevOps Status Agent is purpose-built for execution and operational intelligence. Copilot Studio and Azure OpenAI handle language reasoning, and the connection to Azure DevOps through configured API integration layers helps with execution.
So there’s a big operational depth gap between the two, where Copilot only assists and DynaTech’s Azure DevOps agent delivers and executes.
The agent retrieves current data from Azure DevOps through configured API connectors and shares information like;
It can deliver and execute these functions without leaving Teams, and this means your Azure DevOps monitoring stops being a manual, tab-switching exercise and becomes a single-line question with a structured answer.
Since you can access our DevOps AI agent, anyone on the team, including;
Or anyone else can ask plain English questions about sprint completion rates, open blockers, or work item assignments. The agent evaluates the query against live Azure DevOps data, which means it shares the information in real-time and not from a cached summary.
Velocity, burndown rates, carry-over tasks, and all other metrics are accessible through a single query from inside Teams. Our Azure DevOps reporting agent is built to assist delivery managers in running accurate project delivery tracking before the stakeholder call begins, and that too, without checking any dashboards or pre-meeting scrambles.
The agent is configured to access sprint records, work item data, and pipeline run history on a large scale, making it relevant for multi-project and multi-team configurations. All configurations are scoped during deployment and governed through Entra ID access controls, which means every user sees the data their role and identity permit, across all covered projects.
Engineering leads and delivery managers spend a lot of time retrieving information, most of which is spread across different systems and platforms. Even though the data sites in Azure DevOps accessing it demands tool-switching, dashboard navigation, and manual effort that compound across every sprint cycle.
For instance, when you want to know;
These are not complex questions; it's just that the information you are seeking is buried within different tools. Finding answers to these manually means spending time away from core tasks, and over a quarter, that friction becomes a measurable cost, and none of it adds engineering value.
The DevOps Status Agent functions as a live operational intelligence layer inside Microsoft Teams and retrieves sprint records, work item data, and pipeline run history in real time, configured API connectors.
Answering queries isn’t the only thing our agent does, and you can utilize its capabilities to;
So, every interaction happens inside the environment your team already uses, and there’s no training required, no adoption friction, and zero time wasted on setup.
A delivery manager messages the agent ten minutes before a stakeholder review:
"What is the current sprint completion rate, and are there open blockers?"
The agent does the following;
The manager walks into the call prepared without touching a single Azure DevOps dashboard or exporting any report.
A build pipeline fails during a release window, and everyone is scrambling to find answers. However, instead of navigating Azure DevOps logs, the team lead queries the agent directly and the DevOps chatbot built into MS Teams.
Using this capability, your development team now has a diagnostics starting point immediately and can work on resolving the issue.
At the end of the sprint, the agent compiles velocity data, completed items, carry-over tasks, and blocker resolutions into a formatted summary and presents it in a reader-friendly format.
Power Automate distributes the Azure DevOps report to configured stakeholders automatically, no manual data gathering, no delayed email chain, no formatting work.
| Business Challenge | Agentic AI Solution |
| No real-time delivery visibility without switching between multiple tools | The agent retrieves live Azure DevOps data through a conversational query inside Teams, giving team leads instant access to sprint status and pipeline health without any separate login required. |
| Multiple tools needed to check, update, and share project status | A single MS Teams interface consolidates data from Azure DevOps, Power BI, and Power Automate, eliminating the tool-switching cycle that fragments team attention during active sprints. |
| Manual sprint and project reporting create delays and information gaps | Configured Power Automate workflows compile and distribute sprint summaries automatically, removing manual data gathering from the delivery cycle entirely. |
| Blocker escalation lacks structure and response speed | When the agent surfaces a critical blocker or pipeline failure, it routes the issue to the designated lead with full context already packaged, and resolution starts with complete information. |
| Leadership lacks consistent visibility into delivery velocity across projects | The agent evaluates queries against the correct project context based on Entra ID access controls, delivering consistent Azure DevOps reporting without manual dashboard exports or data pulls. |
The architecture separates responsibilities across distinct operational layers, including;
Most importantly, we don’t have to make any schema modifications for deployment, and the specific configuration architecture elements like connector setup and workflow design are shared during engagement.
Want to know more about our DevOps reporting agent?
The DynaTech team deploys the DevOps AI agent as a configured extension to your existing Microsoft Teams and Azure DevOps environment.
We run the setup through Copilot Studio and connect the integration layer to Azure DevOps through API and connector configuration. In addition to this, our team also handles;
Since the agent operates entirely within Teams, adoption begins from day one without needing any specific platform access and training.
After adding the DevOps Status Agent to your workflow, here’s what you will experience;
All the tasks that your employees had to do manually will now be done by our AI agent, which saves time and resources.