AI Workflow Audit: Case Study

What Changes When a Small Team Gets Audited

A small event marketing team. Everything routed through the same couple of people, with no time to step back and ask why. Here's exactly what the audit found, and what we recommended.

4
Tools audited
5
Gaps identified
6–8 wks
Time to implement
$0
New cost in month one

The Situation

This client is a small event marketing agency specializing in corporate brand activations. With a lean team, every inefficiency lands directly on the people doing the work. There's no operational buffer to absorb it.

Tasks, assets, and communication were siloed across four different platforms that didn't talk to each other. The team was context-switching constantly, losing real hours every week just locating files and status updates.

What We Found

Fragmentation across tools

Nothing was connected. Changes in one tool never updated the others, so version control was entirely manual, and easy to get wrong.

Approval bottlenecks

No defined, automated approval workflow. Work stalled while waiting on a response, with zero visibility into where anything actually stood.

Asset reformatting as a time drain

Assets were being rebuilt from scratch, over and over, because there was no template system and no consistent file organization.

The Fix

Three targeted interventions, one process change and two tool optimizations, meaningfully reduced the time lost to reformatting, approval chasing, and asset hunting.

Build one AI habit before anything else

Start running client briefs and recaps through Claude before writing them from scratch. The habit has to exist before any system can support it.

Activate the AI features already inside their design tool

Brand kit, master templates, and auto-resize, all already included in their existing plan, and none of it was turned on.

Define the approval workflow before automating it

Where does feedback live? Who has final say? What does "done" look like? Answer those first, then configure the tools to match.

Restructure shared storage in one afternoon

One top-level folder per client, a consistent naming convention going forward. No need to touch anything old.

The Result

4–6 hrs/week

Estimated time reclaimed across the team by week 8, with zero new software cost in month one.

Ready to see what your audit finds?

Every AI Workflow Audit starts with the same question: where is your team losing time that AI could take back?

Start Your AI Workflow Audit Book a Discovery Call