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Project Management Agent iconAI Agent

Project Management Agent

Project Management Agent that automates operations workflows using your data and tools.

The challenge

Status reporting is a weekly round of chasing people for updates that are already optimistic by the time they are written. Slippage surfaces at the milestone rather than in the week it happened, and dependencies live in whichever spreadsheet was opened most recently.

The outcome

Azure AI Search pulls activity from Teams, Planner and GitHub, Azure Functions reconcile it against what was reported, and a Microsoft Foundry agent forecasts completion from actual throughput. Every status links to the evidence behind it, so the number can be challenged rather than taken on trust.

At a glance

Type
ai agents
Category
business

Next step

Move from solution to engagement.

Build This Solution

01 — Architecture

End-to-end architecture

Tasks, commits, meetings and blockers are collected across the delivery tools and reconciled against what people reported. The Foundry agent forecasts completion from actual throughput rather than optimism, surfaces the risks early, and makes the decision needed and the by-when explicit.

TEAMPM / Deliveryteamplan & statusSOURCESTeams / Plannertasks & meetingsGitHubissues & activityAPPLICATIONAzure APIManagementdelivery tool APIsAzure Functionsrollups & metricsAI & AGENTMicrosoft FoundryAgenttrack & forecastAzure OpenAImodelsstatus & summariesAzure AI Searchplans & decisionsAzure AI ContentSafetyreporting guardrailsDATA & RECORDSAzure SQLplan & actualsAzure Cosmos DBrisk & issue stateAzure BlobStorageartefacts & minutesDECISION & INSIGHTManager decisionscope & escalationStatus workflowschase & notifyPower BI / Fabricprogress & riskDEVOPS & DELIVERYGitHubsource control & CIDockercontainer buildContainer Registryversioned imagesAgent releasedeploy with rollback
Figure 1 — End-to-end reference architecture for a delivery tracking agent on the Microsoft stack.
  • Team: PM / Delivery team
  • Sources: Teams / Planner, GitHub
  • Application: Azure API Management, Azure Functions
  • AI & agent: Microsoft Foundry Agent, Azure OpenAI models, Azure AI Search, Azure AI Content Safety
  • Data & records: Azure SQL, Azure Cosmos DB, Azure Blob Storage
  • Decision & insight: Manager decision, Status workflows, Power BI / Fabric

02 — Workflow

Process & decision workflow

How scattered activity becomes an honest status — collect, reconcile, forecast, flag and report, then branch. On-track work publishes with the evidence linked, while slippage or a blocker goes to the project manager with the cause, the forecast and the options.

1CollectTasks, commits, meetings and blockersgathered2ReconcileReported progress checked against realactivity3ForecastCompletion projected from actualthroughput4FlagSlippage, dependency and capacity riskssurfaced5ReportStatus written for the audience with theevidence6EscalateOwner, decision needed and by-when madeexplicitOn track& unblocked?Path 1 · on trackPublish the statusReport issued with the evidence linkedPath 2 · slipping or blockedProject manager decidesForecast, cause and options presentedStatus recordedForecast, risks and actionsstoredStakeholders updatedReport and decisions needed sentClosemilestone tracked
Figure 2 — Collect → reconcile → forecast → flag → report → track branch → publish or manager decision.
  1. Collect: Tasks, commits, meetings and blockers gathered
  2. Reconcile: Reported progress checked against real activity
  3. Forecast: Completion projected from actual throughput
  4. Flag: Slippage, dependency and capacity risks surfaced
  5. Report: Status written for the audience with the evidence
  6. Escalate: Owner, decision needed and by-when made explicit
  7. Path 1 · on trackPublish the status: Report issued with the evidence linked
  8. Path 2 · slipping or blockedProject manager decides: Forecast, cause and options presented

03 — Components

Key Microsoft components

A status is only useful if it can be challenged — collection, reconciliation, forecasting and evidence all stay on the Microsoft stack.

  • Microsoft Teams / Planner iconMicrosoft Teams / PlannerTasks, meetings, decisions and delivery collaboration.
  • GitHub iconGitHubIssues, commits and real engineering activity.
  • Azure API Management iconAzure API ManagementSecure gateway for delivery, finance and resourcing APIs.
  • Azure Functions iconAzure FunctionsThroughput metrics, rollups and dependency mapping.
  • Microsoft Foundry Agent Service iconMicrosoft Foundry Agent ServiceReconciliation, forecasting and escalation orchestration.
  • Azure OpenAI models iconAzure OpenAI modelsStatus drafting, meeting summaries and risk narrative.
  • Azure AI Search iconAzure AI SearchRetrieval over plans, decisions, minutes and prior reports.
  • Azure AI Content Safety iconAzure AI Content SafetyGuardrails against softened or unsupported reporting.
  • Azure Logic Apps iconAzure Logic AppsChasing, reminders, escalation and report distribution.
  • Azure SQL iconAzure SQLPlan, actuals, forecasts, risks and decision records.
  • Azure Cosmos DB iconAzure Cosmos DBLive risk, issue and dependency state.
  • Azure Blob Storage iconAzure Blob StorageArtefacts, minutes and published status packs.
  • Azure Communication Services iconAzure Communication ServicesStakeholder reports and escalation notifications.
  • Power BI / Microsoft Fabric iconPower BI / Microsoft FabricProgress, forecast, risk and portfolio dashboards.

04 — AI

What the agent consumes

The capabilities the agent applies to every reporting cycle, and the line it does not cross.

AI capabilities embedded in the agent

  • Activity aggregation
  • Progress reconciliation
  • Throughput-based forecasting
  • Dependency mapping
  • Risk and issue detection
  • Capacity analysis
  • Retrieval-augmented generation
  • Status drafting
  • Meeting summarisation
  • Chase automation
  • Portfolio rollup
  • Escalation routing

AI responsibility boundaries

The agent reports what the evidence shows; a project manager owns the plan, the scope and the escalation. It does not restate optimistic self-reported progress as fact, change a baseline, or soften a forecast to suit an audience. Every status links to the underlying activity so the number can be challenged.

05 — Personalization

Personalization & evolving process

The same methodology applies to every agent in the catalog. Tune the portfolio, the delivery template, the reporting rules and the value model — the page structure stays identical.

Portfolio & method profile

Define the programmes, delivery method, cadence, reporting audiences and governance forums in scope. The personas are the project manager, the delivery team, the sponsor and the portfolio office.

06 — Impact

Key outcomes & business impact

Starting targets for the value case — validate each one against the customer baseline during discovery.

  • Status reporting−70%Reports assemble from activity instead of chasing people.
  • ForecastingEvidence-basedProjections come from throughput, not from confidence.
  • Escalation lead timeEarlierSlippage surfaces in the week it happens.
  • Report traceability100%Every status links to the activity behind it.

Illustrative improvement index

Manual baseline = 100. Illustrative targets, not a commitment — confirm against the customer baseline.

10030Reporting hours10025Time to flag a slip10035Status chasingManual baselineAI-assisted target
  • Reporting hours: manual baseline 100, AI-assisted target 30
  • Time to flag a slip: manual baseline 100, AI-assisted target 25
  • Status chasing: manual baseline 100, AI-assisted target 35

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