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Case study · From the Pluris libraryReceipt no. 7750
What sucked

A global research and insights business produced flagship thought-leadership reports that were long, data-rich, and fully designed, often 30 or more pages.

There are over 200+ reports built every year, and each one takes 24 to 32 calendar days and hundreds of active human hours to move from a structured data file to a finished, on-brand report. The work was slow, hard to scale, and tied up senior people in manual production rather than analysis. It also had to clear strict brand standards and several human review gates at every stage, so any solution had to hold quality and governance, not just speed. The trigger was the need to produce these reports far faster, at consistent quality, without losing the brand rigour or the human checkpoints that protected it.

Professional ServicesMarketing4–8 weeks
What they built

Defyner built a multi-agent AI report builder for a global research firm, 16 specialist agents under a supervisor that turn an unstructured Excel file into a fully designed, on-brand, editable report. Seven human review points sit along the workflow, and every step is traced and logged for auditable, measurable quality inside the client's own environment.

What changed
~95%

Reduction in active human hours to produce a finished report

~80%

Reduction in calendar time, from 24 to 32 days down to a fraction

$14 to $27

Full end-to-end cost per report, built and run inside the client's own environment

Time to results
4–8 weeks
Company size
5,001+ people
Project cost
$25K – $100K
More fixes like this
Who did it
Will Fernandez
Co-founder, Defyner

Vetted by Pluris.