Prioritize decision-ready use cases
Focused the pilot on executive summaries, anomaly detection, campaign benchmarking, root-cause hypotheses, and optimization recommendations.
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Case study 05 · AI & Automation
Using GenAI to Accelerate Campaign Intelligence
A secure pilot that turned dense campaign data into faster, clearer decisions.
A proprietary AI platform was piloted to summarize performance, detect anomalies, benchmark campaigns, and recommend actions—reducing the reporting burden on account managers.
40%+less manual effort
2×faster campaign reviews
Earlieranomaly detection
Strongerclient conversations
The operating problem behind the symptoms.
Account managers spent too much time translating spreadsheets and dense reports into client-ready insights. That slowed campaign reviews, delayed optimization decisions, and left less time for strategic interaction. The pilot needed to prove value while protecting proprietary information and keeping human judgment in the loop.
- High manual effort in reporting and analysis.
- Slow conversion of data into actionable recommendations.
- Security and intellectual-property constraints.
A practical transformation sequence.
The work was organized around a small number of operating choices that could be governed, measured, and repeated—not a collection of disconnected initiatives.
Use a secure internal platform
Kept campaign data and prompt workflows inside the organization’s proprietary AI environment.
Train for reliable interaction
Introduced structured prompting, examples, retrieval-supported context, and review standards rather than treating the model as a one-click answer engine.
Pilot with human validation
Account managers reviewed outputs, corrected context, and used the system to augment—not replace—campaign judgment.
What changed in the day-to-day model.
Before
- Spreadsheet-heavy analysis
- Reactive review cycles
- Inconsistent narrative quality
After
- AI-assisted summaries
- Proactive anomaly detection
- Repeatable insight workflows
Results that connect to the intervention.
Less reporting overhead
The pilot reduced manual reporting and analysis effort by more than 40%.
Faster insight cycles
Campaign review turnaround was cut approximately in half, enabling earlier decisions.
More strategic client engagement
Account managers entered conversations with clearer summaries, comparisons, and recommended actions.
What made the change durable.
- Start with narrow, high-value use cases that can be reviewed objectively.
- Security, data context, and human validation are part of the product—not afterthoughts.
- The strongest AI outcome is often better decision time, not simply fewer tasks.