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Case study · From the Pluris libraryReceipt no. 6387
What sucked

The platform traditionally relied on senior analysts responding reactively to client questions.

There was no scalable mechanism to proactively identify emerging signals, internet trends, consumer sentiment, behavioral shifts, that typically precede measurable sales changes.

Professional ServicesOperations
What they built

Fractional AI built a modular research-agent system that mirrors an experienced analyst's workflow in two stages. First, topic-generation agents scan public web data to surface emerging trends for specific brands or categories. Then affirmative and negative agents debate each trend's importance using sales data and external evidence, while an agent simulating a brand executive renders the final decision.

What changed
Reports in under 35 minutes

Delivers decision-ready reports in under 35 minutes (typically 25-35 minutes).

~$3 per report

Each report costs approximately $3 to produce.

~80% verdict consistency

About 80% of report pairs reached the same verdict on re-run.

Who did it
Chris Taylor
CEO & Co-Founder, Fractional AI

Vetted by Pluris.