Context: Reporting Is Part of the Job, Whether We Like It or Not
In Business Development, reporting is unavoidable.
We report to:
- Brands → performance, ROI, next steps
- Internal teams → progress, blockers, strategy
The challenge is not collecting data.
The challenge is turning data into understanding.
The Old Pain: Too Much Data, Too Little Insight
Before using AI, reporting often felt heavier than it should.
Common issues:
- Data spread across multiple dashboards
- Numbers without context
- Reports that were technically correct but hard to digest
A report could take 3–5 hours, and even then:
- Stakeholders still asked basic questions
- Key insights were missed
- Action points were unclear
The report existed, but its impact was limited.
How AI Changes My Reporting Workflow
AI helps me focus on what matters most: interpretation.
I use AI to:
- Summarize raw performance data into clear takeaways
- Reframe technical metrics into business language
- Highlight patterns and anomalies worth discussing
- Structure reports logically (what happened → why → what next)
Instead of listing everything, I present what’s relevant.
The Result: Faster, Clearer, More Useful Reports
With AI:
- Reporting time reduced by 40–60%
- Reports are easier to scan and understand
- Discussions move faster and go deeper
Most importantly, reports now help people make decisions, not just receive updates.
This changes how stakeholders perceive BD work — from execution-focused to strategy oriented.