Case Study
From 331 hours to 15 minutes
How a UK PR & digital marketing agency cut its prospecting cycle from 331 hours to 15 minutes — in one 90-day engagement.
- Sector
- PR & digital marketing
- Location
- United Kingdom
- Size
- ~20 employees
- Team
- Digital PR
Where they started
331 hrs
Cycle time per prospecting round
<1%
Value-added efficiency
2.5 hrs
Actual value creation out of 331 hours
17+
Manual steps per prospect
One round of prospecting meant keyword research, competitor analysis, backlink checks, Google Maps research, email finding, draft writing, and outreach. 17+ manual steps per prospect. 331.75 hours of cycle time. And less than 1% of that time was actually creating value. The rest was clicking, copying, cross-referencing, and waiting.
The engagement
1. AI Strategy Workshop
Half-daySat with the department heads. Identified the waste in prospecting. Scored and ranked the opportunities.
2. AI Readiness Audit
14 daysDigital gemba sessions. Mapped 17 steps. Found 331 hours of waste with less than 1% value creation.
3. 90-Day Sprint
13 weeksBuilt an autonomous prospecting platform. 15 minutes from data to client.
4. Advisory Retainer
OngoingMonthly strategy. Quarterly roadmap. 3 follow-on projects launched.
What we built
Automated Analytics
Multi-source data pulls replace 7 manual research steps
Prospect Scoring
Automatic quality checks eliminate manual vetting entirely
Draft Generation
Communications drafted into Google Sheets, ready for review
Slack Notifications
Team gets pinged when prospects are ready, no monitoring needed
Direct Client Sending
Approved prospects go straight to clients from the platform
Where they ended up
15 min
From trigger to reaching the client
99.9%
Reduction in cycle time
0
Manual steps in the pipeline
3+
Follow-on automation projects launched
331 hours of manual work eliminated per cycle. The team redeployed to revenue-generating client work. The platform extended to 3 additional automation projects.
Sound familiar?
- Is your team spending hours on repetitive research that adds almost no value?
- Do multiple teams duplicate the same work without seeing each other's output?
- Have you tried automating individual tasks but never mapped the whole system?
- Do you know what percentage of your team's time actually creates value?