Overview
In early 2024, a London-based marketing agency faced mounting pressure to deliver more campaigns, faster. With 25 full-time employees and an expanding client roster, bottlenecks in content production began to threaten deadlines—and creative standards.
That’s when they turned to Hyper for an AI strategy sprint.
Challenge
The team struggled with:
- Weeks-long approval loops for campaigns
- Fragmented research and ideation workflows
- Manual content repurposing
- Burnout from late nights and repeated revisions
Despite adding headcount, content velocity remained flat.
The Solution
Hyper ran a 1-day workshop tailored to their creative operations. The training focused on:
- Mapping their campaign pipeline (brief → research → draft → QA → publish)
- Identifying repetitive tasks
- Integrating AI tools like ChatGPT, Jasper, and SurferSEO
- Creating prompt templates for blog posts, ads, and email sequences
- Automating cross-platform content formatting
The workshop combined hands-on demos with actual campaign prompts from the agency’s current backlog.
Implementation
Following the workshop, the team:
- Centralised prompt libraries in Notion
- Embedded AI into their Figma → Webflow → CRM pipeline
- Connected SurferSEO to their keyword planner
- Built a daily AI review ritual into standups
- Trained 4 team leads to serve as internal AI champions
Within 3 weeks, 87% of their creative output touched AI in some form.
Outcomes
Here’s what changed after 90 days:
- 60% faster campaign turnaround: from brief to launch, average time dropped from 18 days to 7
- 3x content output per month with no additional hires
- Fewer revisions: final assets were approved 30% faster
- Higher team morale: fewer late nights, more creative exploration
"We didn’t expect this to work across every channel—but it did. Our writers, designers, and strategists now collaborate faster than ever."
– Strategy Director, anonymous
Results by the Numbers
Key Learnings
- Templates matter more than tools—prompt libraries outperformed fancy plugins
- Training your team to trust AI is harder than installing software
- Clear editorial QA flows still make or break final output
Final Word
Hyper’s approach didn’t overwhelm the team with theory. It gave them a framework, real examples, and the confidence to make AI part of their daily work.
This wasn’t a “transformation project.” It was a sprint—and it stuck.