Build an automated QA testing insight agent
Build a Copilot Studio agent that reads test failure logs and produces diagnostic insight so engineers spend less time on manual triage.
Build an agent that tags and organizes files across SharePoint and Teams channels and produces summaries without manual compilation.
A project's files stay findable and current without someone manually sorting and tagging them as the project grows.
The apps run in this order.
Create the taxonomy as actual SharePoint metadata columns (Managed Metadata or Choice fields for file type, project phase, status, owner) on the library, not a convention you just describe to the agent in a prompt.
Real columns are what let anyone build a filtered view later, and what keeps the tags structured instead of becoming free-text that drifts over time.
Have the agent scan new and existing files across the project's SharePoint library and linked Teams channels, apply the taxonomy consistently, and flag anything it's not confident how to categorize rather than guessing.
Prompt idea:
Scan the files added to the Project Atlas SharePoint library and Teams channel this week. Tag each by file type, project phase, and status using our taxonomy, and flag any file where the category isn't clear from the content or filename.
Set up a filtered/grouped SharePoint view (group by phase, filter by status) as the actual landing page people check, and have the agent keep a short written summary of the overall state alongside it.
The view shows what exists, the summary explains what changed since last time, and together they replace someone manually digging through folders.
Files the agent couldn't confidently categorize go to a person for a quick manual tag — don't let ambiguous files sit untagged and effectively invisible to the summary view.
Inspired by: Teamflect, 2026.
Files across the project's SharePoint library and Teams channels tagged and organized consistently, with a current summary of what's there.
File type is already visible from the extension without any AI. Project phase and status are where this earns its place — inferring those from a file's actual content takes comprehension a metadata rule can't provide.
Non-AI alternative: A Power Automate rule can already auto-tag file type from the extension; phase and status are the part that genuinely needs the agent reading the content.
Build a Copilot Studio agent that reads test failure logs and produces diagnostic insight so engineers spend less time on manual triage.
Use Copilot Cowork to compare two large document sets and surface exactly what changed, instead of a manual review that takes weeks.
You have a budget export, a status report, and an email thread — and they disagree.
Workflows like this tend to raise real governance and licensing questions once more than one person is using them — that's exactly what we help with.