1. Overview
Creative production is one of the most revision-heavy parts of agency operations. Designers, editors, and motion teams often receive incomplete or unclear briefs missing essential information such as brand guidelines, visual references, mandatory specs, formats, CTAs, or copy direction. These gaps lead to unnecessary back-and-forth revisions and significant delays in delivery.
To address this, I built an AI-powered creative brief validation system that reviews every brief upon submission, checks for completeness, identifies missing elements, and automatically requests updates from the requester. This ensured all briefs met a minimum standard before reaching the creative team, reducing revisions by 60% and improving creative turnaround time significantly.
2. Background & Context
3. Problem Statement
4. Tools & Automation Stack
5. Automation Flow
Fig. 1: AI-Assisted Creative Brief Validation and Approval Workflow
6. Implementation Details
6.1 AI Prompt (The Core Logic)
The following prompt validated creative briefs:
Analyze the creative brief below and determine if it is complete.
Check for: brand guidelines, references, dimensions/specs, CTAs, messaging,
target audience, color/asset requirements, platform-specific rules, deadlines,
and any mandatory elements.
Brief: {{creative_brief}}
Output Requirements:
- List missing elements clearly
- State whether the brief is ‘Complete’ or ‘Incomplete’
- If incomplete, request exact details needed from the requester
The AI outputs a structured evaluation and completeness status.
6.2 Score Mapping (Interpretation Rules)
The AI evaluation classified briefs into:
| Category | Meaning | Behavior |
|---|---|---|
| Complete | All required fields present | Sent to creative team |
| Partially Complete | Some fields missing | Sent back for edits |
| Incomplete | Major details missing | Automatically requests info |
| Invalid | Ambiguous or unclear | Requires PM review |
6.3 ClickUp Automations
The following rules controlled brief routing:
If AI result = Complete → Move to “Ready for Creative”
If AI result = Partially Complete → Notify requester for updates
If AI result = Incomplete → Reopen task with missing items list
If AI result = Invalid → Assign to PM for manual review
If requester updates brief → Trigger AI validation again
These rules ensured the pipeline stayed clean and only validated briefs moved forward.
6.4 Data Extracted for AI Validation
7. Code-to-Business Breakdown
| Logic / Code | Business Impact |
|---|---|
| AI completeness check | Removes repetitive PM pre-screening work |
| Missing-field detection | Prevents incomplete briefs reaching creatives |
| CTA/spec validation | Ensures platform compatibility |
| Reference verification | Reduces ambiguity and redesigns |
| Auto routing | Keeps pipeline clean and organized |
| Slack feedback loop | Speeds up requester corrections |
8. Results & Performance Impact
1. Revision Reduction
2. Time Saved
3. Workflow Quality Improved
4. Delivery Speed Enhanced
9. Challenges & How They Were Solved
10. Lessons for Project Managers
11. Conclusion
By integrating AI-powered brief validation with ClickUp automations, the agency eliminated the recurring problem of incomplete or unclear creative requests.
The system ensured every brief was complete before work began, reducing revisions by 60%, improving designer efficiency, and preventing delays caused by missing details.
This case study demonstrates how AI and workflow automation can transform creative operations, strengthening the partnership between project management, design teams, and requesters.
Ready to Eliminate Incomplete Briefs and Streamline Your Entire Creative Pipeline?
