AI Speed Gains Won’t Help If Your Approval Process Doesn’t Change

UpTrajectory Review

Most marketing teams are installing AI tools and measuring success by usage rates—the software is adopted, people are using it, mission accomplished. But MarTech's Rob Cannon reports a harder truth that many executives are discovering too late: AI speeds up individual tasks without touching the approval bottleneck that actually controls how fast work ships. A copywriter producing three campaign drafts in an hour instead of a day is only useful if those drafts can clear review and approval without waiting a week. When the same creative director, the same legal review, and the same sign-off meeting stand between draft and launch, faster drafts simply mean more work piling up in the same constrained queue.

For a small-business operator or marketing leader running lean, this matters because you are probably being sold AI as a speed play—a way to do more with the same headcount. Gartner's data shows marketing teams are spending 15.3% of budget on AI, yet only 30% report mature AI readiness. You may already own Copilot or Claude licenses. But if your approval workflow hasn't changed, you've paid for a faster shovel while the actual work still waits for the same three people to nod. The productivity gain evaporates, and the frustration—and churn—rises.

Cannon's core point is novel enough in practice, even if it's old in theory: process design precedes tooling. AI adoption without workflow redesign creates visible, measurable frustration—more drafts, same bottlenecks, no faster time to launch, and no better campaign performance. The piece acknowledges that 74% of white-collar workers now use AI regularly, but doesn't address the uncomfortable implication: if usage is up and results are flat, something other than the tool is broken. Cannon stops short of naming which approval stages should be eliminated or automated, which leaves operators with the problem identified but not the solution scoped.

The downstream effect is real: teams get demoralized when speed tools don't speed delivery. Budget allocated to AI begins to look wasted when campaigns don't launch faster or perform better. Approval gatekeepers become visible bottlenecks instead of invisible friction, which often triggers blame-shifting rather than process redesign. A creative director drowning in more drafts to review feels busier, not more productive. That emotional signal ripples—good talent leaves, momentum stalls, and the next tool gets blamed for the same broken process.

Before buying or expanding AI licensing, map your actual approval path: How many reviewers touch each piece of work? How long do approvals sit in queues? Which reviews add value and which are habit? Then redesign: Can approvers work in parallel instead of sequence? Can briefs be clearer so fewer revisions are needed? Can lower-stakes content skip a layer? Only after you've pulled the real blockers should you turn AI loose on drafting. Faster inputs to a slow process won't change outcomes, but faster process with AI drafting will.

The test is measurable: if AI adoption rises but time-to-launch and campaign performance don't move, your approval process owns the problem. Sit with that data before the next platform expansion. Ask your team where work actually waits, and fix that first.

“Faster drafts and more campaign ideas mean little if work still gets stuck in reviews and approvals.” — MarTech

Takeaway: AI speeds drafts, not approvals—redesign your review workflow before expanding AI tools.