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About This Automation
Project managers at design studios spend 4- per week manually tracking deliverables across multiple tools, chasing team members for status updates, and compiling client notifications. Manual spreadsheet updates, file verification, and scattered feedback create delays and duplicate data entry.
Automation monitors project completion in real time, verifies deliverables are ready, and sends client notifications automatically. The system logs milestones to billing and updates the team in one coordinated action, eliminating manual tracking and reducing notification time from hours to minutes.
Key features:
Monitor project task completion and gather deliverable metadata automatically
Verify files are present and correctly named before client notification
Compose and send templated client notifications customized by project type
Log deliverable milestones to billing system without manual entry
Post team updates to communication channels in real time
Track client feedback and revision requests in a centralized log
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Chasing team for status updates
Project managers spend significant time requesting confirmation from team members, with responses trickling in over hours or days.
80%
2
Manual spreadsheet duplication
Deliverable data is entered and re-entered across multiple spreadsheets and tools, creating inconsistency and rework.
67%
3
File location and naming verification
Project managers manually search shared storage to confirm deliverables are present, correctly named, and in the right format.
53%
4
Scattered client feedback
Feedback arrives via email, comments, and messages across multiple channels, requiring manual consolidation and logging.
40%
5
Delayed phase closure
Updating project status, tracking spreadsheets, and billing records at phase end is often skipped or significantly delayed.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual tracking consumes 4-5 hours weekly and creates bottlenecks in client.
9.0/ 10
AI Fit Rating™Structured data, templated communication, and rule-based file verification are.
8.7/ 10
Automation Lift Index™Automation eliminates 90% of manual tracking work and reduces client.
8.5/ 10
Hidden Overhead™Context switching between tools, duplicate data entry, and scattered feedback.
7.8/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Task marked completetrigger
Automation watches for tasks in the Deliverables project to move to the Done column. This signals that a deliverable is ready for client review.
2. Fetch task and project details
Automation retrieves the task name, project, due date, assigned team member, and any linked files. It also pulls the client contact and project billing phase.
3. Verify files
Automation checks the project folder to confirm all expected deliverables are present and correctly named. If files are missing, it logs a flag for manual review.
4. All files present?
If yes, proceed to client notification. If no, send an alert to the project manager and pause the automation.
5. Create deliverable summary
Automation generates a formatted list of deliverables with file names, formats, and feedback deadlines. It pulls the client name and project phase.
6. Send client notification
Automation sends a templated email to the client with the deliverable list, feedback deadline, and a link to the shared folder. The email is logged and copied to the project record.
7. Log milestone
Automation creates a new record in the billing milestones table with the deliverable date, project phase, and client name. This feeds directly into invoicing workflows.
8. Post update
Automation sends a message to the project channel confirming that the deliverable has been sent to the client and noting the feedback deadline. This keeps the team aligned without email clutter.
Everything you need to know before mapping this process.
Automation flags the issue and notifies the project manager before attempting to send the client notification, preventing incomplete deliveries and allowing time for correction.