ViBe://AUTOMATE

AI Project Coordinator

Project coordination is process-heavy work — collecting status updates, tracking milestones, flagging risks, preparing agendas, and building client reports. Your project managers should be leading projects, not managing spreadsheets.

What it handles

The coordination layer, automated.

The AI Project Coordinator connects to your project management tool, email, and team messaging platform — running status cycles, tracking milestones, and producing reports on schedule.

  • Collect status updates from team members via Slack, Teams, or email on schedule
  • Aggregate updates and generate project status summaries
  • Track milestones against baseline dates and flag delays before they cascade
  • Prepare meeting agendas populated with current status, open items, and risks
  • Generate weekly or monthly client reports from project data
  • Flag budget or timeline risks when defined thresholds are crossed

Systems it connects to

Inside your existing project stack.

Project management

Asana, Jira, Monday — reads tasks, milestones, and status. Updates fields.

Email

Collects status inputs, distributes reports, sends client updates.

Slack / Teams

Sends status prompts, collects team responses, posts summaries to channels.

How it runs

Scheduled and triggered, every week.

ai-project-coordinator — weekly-cycle
TRIGGERMonday 9:00 AM — weekly status cycle for 6 active projects
PROMPTSend status request to each team member via Slack
COLLECTAggregate responses — 14/16 received by Tuesday EOD
FLAG2 non-responses → follow-up sent + PM notified
ANALYZEMilestone check — Project B: Sprint 4 at risk (2 tasks overdue)
REPORTGenerate status report for all 6 projects → save to Drive
DELIVERPost summary to #project-updates Slack + email PM team

Human approval points

Where project managers stay in control.

  • Scope changes and change order decisions
  • Timeline extensions requiring client communication
  • Budget adjustments and resource reallocation
  • Risk escalation decisions — what gets communicated to clients and when
  • Client report approval before external distribution

Capacity recovered

Illustrative monthly time savings.

Monthly capacity recovered

~20 hrs

Illustrative estimate

Typical implementation time

2–4 wks

From kickoff to live

Automated status cycle

Weekly

No more chasing updates

Capacity estimates are illustrative. Actual hours recovered depend on the number of active projects, team size, and reporting cadence.

Implementation

Live in 2–4 weeks.

01

Discovery

Map your current reporting cycle, status collection method, and milestone tracking approach.

02

Build

Connect project management tool, Slack/Teams, and email. Configure status templates and report formats.

03

Pilot

Run one full status cycle on 2–3 projects. Validate report accuracy and milestone tracking.

04

Full rollout

Activate across all active projects. Monitor exception rate and PM intervention frequency.

Security & data handling

Project data access, scoped and logged.

Project-scoped access

Read/write access limited to project records, task fields, and approved report templates. No access to billing or HR data.

No training on project data

Project details, client names, and status content are never used to train models.

Client report approval gate

Reports for external distribution are always queued for PM review before sending.

Full action audit trail

Every status collection run, report generated, and flag raised is logged with timestamp and project reference.

FAQ

Common questions.

Does the AI replace project managers?+

No. It removes the coordination overhead — chasing status updates, formatting reports, prepping agendas — so project managers can focus on decisions, risks, and client relationships.

Which project management tools does it connect to?+

We build integrations with Asana, Jira, Linear, Monday.com, Notion, and most project management platforms with an API. We also connect to Slack and Microsoft Teams for status collection.

How does it collect status updates from team members?+

It sends scheduled prompts via Slack or email at defined intervals. Team members respond in their existing channels — no new tool to learn. Responses are parsed and aggregated into the status report.

What counts as a risk flag?+

You define the criteria during setup — overdue tasks, milestones at risk, budget variance above a threshold, or team member flags. The AI surfaces these to the project manager before they become escalations.

Get started

Build your AI Project Coordinator.

Book a demo to walk through your current project reporting cycle and get a scoped build plan with integrations, status templates, and a go-live timeline.