Project Manager
AI drafts reports and risk flags; you check, escalate and align
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Top 3 changes for you
- 1Writing status reportsStatus reports can be drafted by agents for you to review
- 2Maintaining the risk and issue logAgents can flag stale work; escalating may need judgement
- 3Running meetings and tracking actionsAI can suggest actions and updates to accept or discard
- Tools to try first
- Microsoft 365 Copilot(opens in new tab)ChatGPT(opens in new tab)
- Skills to build
- Checking AI-generated status reports against the plan and the team
- Giving agents clear instructions on report sections, length and audience
How your work changes
#Open any item to see before and now, with sources.
PlanBuilding the plan and scheduleMicrosoft's Planner Agent can generate plan tasks from a goal and files
Before
Project managers broke the scope into tasks, estimated durations and dependencies, and built the schedule in a scheduling tool or spreadsheet, then updated it by hand as work moved.
Now
Microsoft's Planner Agent can generate tasks for a plan based on a given goal and relevant files. APM's 2025 survey of 1,000 project professionals asked which project functions had benefited most from AI. Task and schedule automation was one of the main responses, cited by 50% of project professionals using AI who had seen a benefit.[1][5]
BuildWriting status reportsAgents can draft status reports; review them and give feedback
Before
Project managers chased updates from team members, pulled progress figures from the plan and tracker, and wrote the weekly status report by hand.
Now
Planner Agent can generate a customised status report based on the current state of work and your reporting needs. Atlassian's Jira Delivery Agent creates a daily status digest and end-of-cycle summaries of completed work. Atlassian recommends reviewing the agent's summaries regularly and giving feedback to improve their accuracy and usefulness.[5][6]
PlanMaintaining the risk and issue logAgents can flag stale work; one trial user says escalating needs judgement
Before
Risks, assumptions, issues and dependencies were raised in workshops and status meetings and kept in a RAID log that the project manager reviewed and updated by hand.
Now
Jira Delivery Agent identifies risks such as stale work, blocked items or slipping deadlines, and follows up with assignees on work items that haven't moved for a specified period. In APM's 2025 survey, risk analysis and forecasting was cited by 50% of project professionals using AI who had seen a benefit. In a late-2024 UK government trial of Microsoft 365 Copilot, one project delivery participant said the tool can identify trends, but decisions about which risks to escalate still require deep understanding and human judgement.[1][4][6]
BuildRunning meetings and tracking actionsCopilot suggests meeting actions; accept or discard Rovo's Jira updates
Before
Project managers took minutes, wrote up decisions and action items after the meeting, and updated the tracker themselves.
Now
Copilot in Teams meetings summarises key discussion points, including who spoke and what they said, and suggests action items. When a Loom meeting is connected to a Jira space, Rovo analyses the transcript and recommends updates such as reassigning work items, changing priority or status, or adding a comment. You can accept or discard each suggestion, or accept all.[7][8]
PlanAllocating resources and forecasting outcomesSome UK project professionals say AI aids forecasting and scheduling
Before
Resource plans and forecasts were built in spreadsheets from team availability and the project manager's own estimates of remaining work.
Now
In APM's 2026 research with 1,000 UK project professionals, 27% said AI was fully embedded in their workflows. The activities it supported included predicting project outcomes and improving forecasting accuracy, assisting with resource allocation and supporting task scheduling. In APM's 2025 survey, resource allocation was cited by 50% of project professionals using AI who had seen a benefit.[1][2]
BuildCommunicating with stakeholdersJira's agent drafts delivery updates for different audiences
Before
Project managers tailored updates for sponsors, steering groups and delivery teams, and handled alignment, negotiation and conflict in conversation.
Risks to watch
#AI output can be wrong and raises privacy concerns; a UK trial required human oversight
AI output can be wrong, and it raises security and privacy concerns. In APM's 2025 survey, some project professionals using AI named security or data privacy, and inaccuracy or untrustworthiness of using AI at work, among the concerns they had encountered. The UK government's late-2024 Copilot trial concluded that human oversight was required at all times.[1][4]
AI summaries of complex work can miss context, a UK government trial participant said
Summaries of complex work can miss context. A finance participant in the late-2024 UK government trial said Copilot generates initial summaries and reports efficiently but struggles with complex data requiring contextual input.[4]
Generated reports depend on the data in the tool, so keep plans and tickets current
Faster tech and tool cycles can add complexity, nearly half in PMI's survey say
Faster tech and tool cycles can add complexity. In PMI's 2026 Pulse of the Profession survey, nearly half of project professionals (48%) pointed to faster tech and tool cycles as a key complexity driver. PMI writes that leaders often frame the AI moment as an external disruption, while project teams experience it as internal execution strain.[3]
Skills to build
#Human skills: what's new, what matters more, and what AI now does for you.
New skillsDidn't really exist in the role before
- Checking AI-generated status reports against the plan and the team
- Giving agents clear instructions on report sections, length and audience
- Reviewing AI risk flags before they reach the RAID log
- Knowing which project and meeting data may go into AI tools
More important nowExisting skills that AI makes more valuable
- Judging which risks to escalate and how
- Keeping plan and tracker data accurate
- Stakeholder management and building trust
- Negotiation and conflict resolution
- Emotional intelligence
Less centralStill useful, but AI now does much of it
- Writing weekly status reports from a blank page
- Typing up meeting minutes and action lists
- Manually sweeping the tracker for stalled work
- Building spreadsheet formulas and dashboards by hand
Tools
#"Start here" tools are the editor's pick of where to begin for this role. Our suggestion
Start here
Widely used and core to this role
- Microsoft 365 Copilot(opens in new tab)
· AI chat assistant
Summarising Teams meetings, including who spoke and what they said, with suggested action items. With a Copilot license, Planner Agent generates status reports from a plan's current state of work.[5][8]
- ChatGPT(opens in new tab)
· AI chat assistant
General AI assistant for drafting and summarising project documents and analysing files and data.
Also worth a look
Depends on your team and stack
Show 3 toolsHide tools
- Rovo(opens in new tab)Atlassian
Jira Delivery Agent status digests, stakeholder summaries and risk flags such as stale work, blocked items or slipping deadlines, and suggested Jira updates from Loom meeting transcripts.[6][7]
AI on paid plans, and AI Studio automations for intake, routing and updates.
- Smartsheet(opens in new tab)Smartsheet
Generating formulas from plain-language descriptions, analysing sheet data into charts and metrics, and drafting text summaries such as stakeholder updates.
Your first steps
#- 1Check your organisation's AI policy for which tools you may use, and whether meeting transcripts and project data may go into them.
- 2Generate one status report with an AI feature in the tool your team already uses, compare it with the report you would have written, and note what it got wrong or left out.
Show 3 more stepsShow fewer steps
- 3Clean up stale tasks and ownerless tickets in your plan before switching on any AI status or risk feature.
- 4Turn on AI meeting summaries for one recurring meeting and check the suggested action items against your own notes for two weeks.
- 5Review any AI-flagged risks with the owner before adding them to the RAID log, and keep the escalation decision with a person.
A week in this role now
A typical week now starts with drafts instead of blank pages. The status report, the stand-up digest and the notes from the steering meeting may already exist when you sit down, produced from the plan, the tracker and the meeting transcript. Your time goes into reading them critically. Is that task really on track? Did the summary catch the decision the sponsor actually made? Is the “blocked” item blocked, or just not updated? Keeping the plan and tickets honest matters more, because the generated report will repeat whatever they say.
The parts of the job that did not get faster are the ones that involve people. An AI feature can flag a slipping milestone, but deciding whether to escalate it, who to tell first and how to frame it is still your call. The same goes for negotiating resources with another team, resetting expectations with a sponsor or settling a disagreement between leads. Use the time saved on reporting to have those conversations earlier, and treat anything an AI tool produces as a draft you are accountable for.
Agent Skills
AI instructions to copy
#Each one is a text file (SKILL.md) that tells an AI tool, step by step, how to do one task the way you want. Copy it into a chat, or add it to a tool that supports Agent Skills. Which tools, and how
Starter instructions for this role
Our suggestionWritten from the changes above. Read and adapt one before you use it.
Weekly status reportDrafts a weekly project status report, checks it against the data and flags doubts
How to use it
- In any AI chat, such as ChatGPT, Microsoft 365 Copilot or Claude: choose Copy instructions, paste them at the start of a new chat, then add your material. Our suggestion
- Install it in Claude (web or desktop): download the .zip, then go to Customize › Skills › + › Create skill › Upload a skill. Code execution must be turned on. Claude help (opens in new tab)
- Install it in a coding agent such as Claude Code, GitHub Copilot or Codex: unzip the folder into the tool's skills folder. Folder locations
Show the full file
File name
SKILL.md, in a folder namedweekly-status-report. When to use it: Drafts a weekly project status report from plan, tracker and meeting notes, checks it against the underlying data, and flags low-confidence items and escalation decisions for the project manager. Use when preparing a weekly or fortnightly status update, a steering group summary or a sponsor report, or when asked to "write the status report", "summarise project progress" or "check this AI-generated status update".--- name: weekly-status-report description: Drafts a weekly project status report from plan, tracker and meeting notes, checks it against the underlying data, and flags low-confidence items and escalation decisions for the project manager. Use when preparing a weekly or fortnightly status update, a steering group summary or a sponsor report, or when asked to "write the status report", "summarise project progress" or "check this AI-generated status update". metadata: title: "Weekly status report" summary: "Drafts a weekly project status report, checks it against the data and flags doubts" --- # Weekly Status Report Draft a status report that reflects the real state of the project, and make clear which parts need the project manager's judgement. ## What to gather first Ask for anything missing before you start: - The reporting period and the audience (team, sponsor, steering group), plus any required template. - The plan or schedule: milestones, baseline dates and current forecast dates. - A tracker export or list of work items with status, owner, due date and last updated date. - Notes, decisions and action items from this period's meetings. - The current risk and issue log. - Last period's report, so changes can be shown. - Budget or resource figures (planned and actual spend), if the report covers them. - The status scale your organisation uses (for example On track / At risk / Off track, or Red / Amber / Green). Ask for anything missing once. If the user can't provide it or asks you to go ahead, proceed and record every assumption. ## Steps 1. Check data freshness first. List work items not updated during the reporting period, items with no owner, and milestones with no forecast date. Report these before drafting. 2. Compare each milestone's forecast with its baseline and with last period's report. Note what moved and by how much. 3. Group completed work, work in progress and upcoming work by milestone or workstream. 4. Pull decisions made and decisions still needed from the meeting notes. Link each to the meeting it came from. 5. Pull new, changed and closed risks and issues from the log. If no risk log is provided, propose risks drawn from the inputs and label each one "Proposed". 6. Check budget only if figures were given. If there is no planned spend to compare against, say that budget status can't be judged. 7. Propose an overall status and a status per milestone, with one sentence of evidence each. Use On track / At risk / Off track; if the organisation uses RAG colours, map them to Green / Amber / Red and state which scale the report uses. 8. Give a confidence level (High, Medium, Low) for the overall status, each milestone and each progress bullet. Use "Low" where the source data is stale, contradictory, missing, or where the status depends on context not in the data. 9. List candidate escalations: items that may need sponsor or steering attention. Do not decide; describe the trigger and the options. 10. Tailor length and wording to the audience. Keep the executive summary to a few sentences. 11. Produce the draft. Do not send it, post it or update any tracker item. ## Output format ```markdown # Status report: <project> — <period> **Draft prepared for review by:** <project manager> **Status scale used:** On track / At risk / Off track | Green / Amber / Red **Proposed overall status:** <status> (confidence: High/Medium/Low) Confidence levels apply to the overall status, each milestone and each progress bullet. ## Executive summary <3–5 sentences> ## Milestones | Milestone | Baseline | Forecast | Change since last report | Status | Confidence | | --------- | -------- | -------- | ------------------------ | ------ | ---------- | ## Progress this period - <workstream>: <completed> / <in progress> (confidence: High/Medium/Low) ## Budget - <planned vs actual, or "Budget status can't be judged: no planned spend provided"> ## Next period - <planned work> ## Decisions | Decision | Made or needed | By whom | Source | | -------- | -------------- | ------- | ------ | ## Risks and issues | Item | New/changed/closed/Proposed | Owner | Summary | | ---- | --------------------------- | ----- | ------- | ## For the project manager to decide - **Possible escalations:** <item — trigger — options> - **Low-confidence items to check:** <item — why confidence is low> - **Data quality problems found:** <stale or ownerless items> ## Assumptions and open questions - <assumption or question, and who can confirm> ``` ## Watch out for - The report can only be as accurate as the plan and tracker. A task marked "on track" that has not been updated in weeks is unknown, not on track. - Summaries of complex work can miss context that was never written down. Flag anything that looks inconsistent rather than smoothing it over. - "Blocked" may mean blocked, or may mean nobody updated the item. Say which you can confirm. - Do not guess the reason for a slip. State the fact and leave the explanation to the owner. - Deciding which risks to escalate, and how to frame them, stays with the project manager. - Leave out personal or confidential details that are not needed for the audience. - Never reproduce secrets, credentials or personal data in the output unless the user needs them. ## Before you finish - [ ] Stale and ownerless items are listed, not hidden. - [ ] Every status has evidence and a confidence level. - [ ] Milestone changes are compared with the baseline and last report. - [ ] Escalations are presented as options, not decisions. - [ ] Nothing was sent, posted or changed in any tool. - [ ] Clearly flag every assumption, low-confidence item and escalation decision that the project manager must review or decide.
RAID log triageChecks new risks and issues before they enter the log; a person decides what to escalate
How to use it
- In any AI chat, such as ChatGPT, Microsoft 365 Copilot or Claude: choose Copy instructions, paste them at the start of a new chat, then add your material. Our suggestion
- Install it in Claude (web or desktop): download the .zip, then go to Customize › Skills › + › Create skill › Upload a skill. Code execution must be turned on. Claude help (opens in new tab)
- Install it in a coding agent such as Claude Code, GitHub Copilot or Codex: unzip the folder into the tool's skills folder. Folder locations
Show the full file
File name
SKILL.md, in a folder namedraid-log-triage. When to use it: Reviews AI-flagged or newly raised risks, assumptions, issues and dependencies before they enter the RAID log, removing duplicates, checking evidence, suggesting owners and ratings, and listing escalation options for a human to decide. Use when triaging risk flags from a tool or agent, preparing a risk review meeting, cleaning up a RAID log, or when asked to "review these risks", "update the risk register" or "which risks should we escalate".--- name: raid-log-triage description: Reviews AI-flagged or newly raised risks, assumptions, issues and dependencies before they enter the RAID log, removing duplicates, checking evidence, suggesting owners and ratings, and listing escalation options for a human to decide. Use when triaging risk flags from a tool or agent, preparing a risk review meeting, cleaning up a RAID log, or when asked to "review these risks", "update the risk register" or "which risks should we escalate". metadata: title: "RAID log triage" summary: "Checks new risks and issues before they enter the log; a person decides what to escalate" --- # RAID Log Triage Turn a pile of raw risk flags into a clean, evidence-based set of proposed RAID log entries, with escalation choices left to the project manager. ## What to gather first Ask for anything missing before you start: - The new flags or items to triage, and where each came from (tool alert, meeting, team member). - The current RAID log, including owners, ratings and last review dates. - The project's rating scale for likelihood and impact, and its escalation thresholds, if defined. - The current plan with milestones and dependencies. - Recent tracker data for the work items the flags mention. Ask for anything missing once. If the user can't provide it or asks you to go ahead, proceed and record every assumption. ## Steps 1. List each incoming flag with its source and the evidence it cites. 2. Check each flag against the tracker and plan. Mark it as confirmed, not confirmed (for example, the item is stale but work is happening) or unclear. 3. Match flags against the existing log. Mark duplicates and flags that should update an existing entry instead of creating a new one. 4. Classify each remaining item as a risk (might happen), issue (is happening), assumption or dependency. 5. Rewrite each entry in a clear form: cause, event, effect. Keep it short and factual. 6. Suggest likelihood and impact using the project's scale, with a one-line reason. Mark these as suggestions. 7. Suggest an owner based on the work affected. Mark it as a suggestion to confirm with that person. 8. Suggest a response (avoid, reduce, transfer, accept, or monitor) and one next action for each. 9. Review existing log entries: flag ones not reviewed recently, ones whose trigger dates have passed, and ones that look closed. 10. List items that may meet escalation thresholds, with the trigger and options. Do not update the live log or notify anyone. ## Output format ```markdown ## RAID triage: <project> — <date> ### Incoming flags | # | Source | Flag | Evidence checked | Result (Confirmed / Not confirmed / Unclear / Duplicate) | | --- | ------ | ---- | ---------------- | -------------------------------------------------------- | ### Proposed new or updated entries | Type | Description (cause → event → effect) | Suggested likelihood | Suggested impact | Suggested owner | Suggested response and next action | | ---- | ------------------------------------ | -------------------- | ---------------- | --------------- | ---------------------------------- | ### Existing entries needing attention | Entry | Problem (stale / trigger passed / possibly closed) | Suggested action | | ----- | -------------------------------------------------- | ---------------- | ### Escalation candidates for the project manager | Item | Why it may need escalation | Options | Who might need to know | | ---- | -------------------------- | ------- | ---------------------- | ### Assumptions and open questions - <assumption, gap or question, and who can confirm> ``` ## Watch out for - Automated flags such as "stale work" or "slipping deadline" are signals, not conclusions. The work may be progressing outside the tracker. - Tools can spot trends, but deciding which risks to escalate and how to approach them needs knowledge of the people and politics involved. Leave that to the project manager. - Do not assign blame in risk descriptions. Describe the situation, not a person's failings. - A long list of low-value risks hides the important ones. Recommend merging or dropping noise. - Ratings are only comparable if everyone uses the same scale. Say if no scale exists. - Keep confidential commercial or personnel details out of the log draft. - Never reproduce secrets, credentials or personal data in the output unless the user needs them. ## Before you finish - [ ] Every incoming flag was checked against the tracker or plan, or marked unclear. - [ ] Duplicates are merged into existing entries. - [ ] Ratings and owners are marked as suggestions. - [ ] Escalation candidates list options, not decisions. - [ ] The live log was not changed and nobody was notified. - [ ] Clearly flag every assumption, and anything the project manager must review or decide, especially escalations and owner assignments.
Meeting actions follow-upTurns meeting notes into decisions, action items and a draft follow-up message
How to use it
- In any AI chat, such as ChatGPT, Microsoft 365 Copilot or Claude: choose Copy instructions, paste them at the start of a new chat, then add your material. Our suggestion
- Install it in Claude (web or desktop): download the .zip, then go to Customize › Skills › + › Create skill › Upload a skill. Code execution must be turned on. Claude help (opens in new tab)
- Install it in a coding agent such as Claude Code, GitHub Copilot or Codex: unzip the folder into the tool's skills folder. Folder locations
Show the full file
File name
SKILL.md, in a folder namedmeeting-actions-followup. When to use it: Turns meeting notes or a transcript into a checked list of decisions, action items and proposed tracker updates, plus a draft follow-up message, marking anything unclear for the organiser to confirm. Use after a project meeting, steering group or stand-up, when reviewing AI-suggested action items or tracker updates, or when asked to "write up the actions", "draft meeting minutes" or "what did we agree in this meeting".--- name: meeting-actions-followup description: Turns meeting notes or a transcript into a checked list of decisions, action items and proposed tracker updates, plus a draft follow-up message, marking anything unclear for the organiser to confirm. Use after a project meeting, steering group or stand-up, when reviewing AI-suggested action items or tracker updates, or when asked to "write up the actions", "draft meeting minutes" or "what did we agree in this meeting". metadata: title: "Meeting actions follow-up" summary: "Turns meeting notes into decisions, action items and a draft follow-up message" --- # Meeting Actions Follow-up Produce an accurate record of what a meeting decided and who agreed to do what, ready for the organiser to confirm before anything is shared or updated. ## What to gather first Ask for anything missing before you start: - The meeting notes, transcript or AI-generated summary. - The meeting purpose, date, and list of attendees with their roles. - The agenda, if there was one. - Open action items from the previous meeting. - Related tracker items, if tracker updates are expected. - The audience for the follow-up message and any confidentiality limits. Ask for anything missing once. If the user can't provide it or asks you to go ahead, proceed and record every assumption. ## Steps 1. Read the full notes or transcript, not only an existing summary. Compare the summary with the source if both exist. 2. List decisions. For each, quote or closely paraphrase the words that show a decision was made, and note who made it. 3. Separate real decisions from ideas that were only discussed. Put the latter under "discussed, not decided". 4. List action items with owner, due date and the source line. If the owner or date was not stated, write "Not stated" rather than guessing. 5. Check previous open actions: mark each as done, still open or not mentioned. 6. For each AI-suggested tracker update (status, priority, assignee, comment), state whether the notes support it and recommend accept, change or discard. 7. Note open questions and disagreements that were not resolved. 8. Draft a short follow-up message for the stated audience, leaving out sensitive or off-the-record parts. 9. Produce everything as a draft. Do not send messages or change tracker items. ## Output format ```markdown ## Meeting follow-up: <meeting name> — <date> **Attendees:** <names and roles> **Status:** Draft for the organiser to confirm ### Decisions | Decision | Made by | Evidence from notes | Confidence | | -------- | ------- | ------------------- | ---------- | ### Discussed, not decided - <topic> — <what is still open> ### Action items | Action | Owner | Due | Source | Confidence | | ------ | ----- | --- | ------ | ---------- | ### Previous actions | Action | Owner | Status (Done / Open / Not mentioned) | | ------ | ----- | ------------------------------------ | ### Suggested tracker updates | Item | Suggested change | Supported by notes? | Recommendation (Accept / Change / Discard) | | ---- | ---------------- | ------------------- | ------------------------------------------ | ### Draft follow-up message <short message> ### Assumptions and open questions - <assumption or question (unclear owner, date, decision or sensitive point), and who can confirm> ``` ## Watch out for - Automatic summaries can attribute statements to the wrong person or turn a suggestion into a decision. Check against the source. - Transcripts miss side conversations, sarcasm, and things agreed after the recording stopped. - An action with no owner will not happen. Flag it rather than assigning someone. - Suggested tracker changes such as reassigning work or changing priority affect other people. Each one needs a human to accept it. - Meetings often contain sensitive remarks about people, budgets or suppliers. Keep them out of the follow-up unless the organiser says otherwise. - Never reproduce secrets, credentials or personal data in the output unless the user needs them. - Check whether meeting content may be processed by AI tools under your organisation's policy. ## Before you finish - [ ] Decisions are separated from things only discussed. - [ ] Every action has an owner and date, or is marked "Not stated". - [ ] Every suggested tracker update has a recommendation and evidence. - [ ] The follow-up message contains nothing sensitive. - [ ] Nothing was sent and no tracker item was changed. - [ ] Clearly flag every assumption, and anything the organiser must review or decide before sharing.
Published skills you can reuse(3)From public skill catalogs. Check the license before use.
- internal-comms(opens in new tab)anthropics/skillsOpen source
Writing status reports and other internal communications in your organisation's formats.
- notion-meeting-intelligence(opens in new tab)openai/skillsOpen source
Preparing meeting agendas and pre-reads with context from Notion.
- linear(opens in new tab)openai/skillsOpen source
Reading, creating and updating issues and projects in Linear.
Related roles
Related roles
Sources (8)
4 surveys, 4 vendor pages · 4 vendor-affiliated
Sources (8)
4 surveys, 4 vendor pages · 4 vendor-affiliated
Each source is labelled by what the page is and whether its publisher sells in this space. How we label sources
- 1.AI use in Project Management nearly doubles in just two years, APM survey finds(opens in new tab)
Association for Project Management (APM) · 9 September 2025
Survey
“Task and schedule automation – 50% of project professionals using AI who have seen a benefit Recourse allocation – 50% Risk analysis and forecasting – 50% Reporting and dashboarding – 49% Stakeholder communications – 43%”
- 2.AI becomes increasingly embedded in project delivery, new APM research reveals(opens in new tab)
Association for Project Management (APM) · 31 March 2026
Survey
“Findings from the research show that over a quarter (27%) of project professionals across industry sectors say that AI is fully embedded into their workflows and is used to support a wide range of activities including:”
- 3.Why Complex Projects Fail: Best Practices Are Not Enough, System Thinking Gives Your Team the Edge(opens in new tab)
Project Management Institute (PMI) · 12 May 2026
Survey
“The AI boom, more than anything, is intensifying this environment: CEOs cite AI and automation as the leading driver of operating-model change (72%), while nearly half of project professionals (48%) point to faster tech and tool cycles as a key complexity driver—turning ‘AI transformation’ into an execution stress test.”
- 4.Microsoft 365 Copilot Experiment: Cross-Government Findings Report(opens in new tab)
GOV.UK · 2 June 2025
Survey
“For risk mitigation, M365 Copilot can identify trends, but decisions about which risks to escalate or how to approach them still require deep understanding and human judgment.”
- 5.Frequently asked questions about Planner agent(opens in new tab)
Microsoft Support
Vendor pageVendor-affiliated
“The Planner Agent can generate a customized status report for your plan based on the current state of work and your reporting needs.”
- 6.Work with Jira Delivery agent(opens in new tab)
Atlassian Support
Vendor pageVendor-affiliated
“This agent identifies risks, such as stale work, blocked items, or slipping deadlines, and produces tailored delivery artefacts for different audiences, including team stand ups and executive summaries.”
- 7.Get AI-suggested work updates from Loom meetings in Jira(opens in new tab)
Atlassian Support
Vendor pageVendor-affiliated
“Rovo analyzes the meeting transcript and recommends updates such as reassigning work items, changing priority or status, or adding a comment.”
- 8.Get started with Copilot in Microsoft Teams meetings(opens in new tab)
Microsoft Support
Vendor pageVendor-affiliated
“Copilot summarizes key discussion points, including who spoke and what they said. It also suggests action items and answers any questions you have, in real time during or after a meeting.”