So you want to deploy an AI agent on your own data. But is your data ready?

Most organizations think AI is a "Technical" problem. It's not. It's a "Data Hygiene" problem. Garbage in, garbage out.

The Checklist

Are your PDFs machine-readable?

If your PDFs are just scanned images of text, standard extractors will fail. You need OCR (Optical Character Recognition).

Do you have consistent metadata?

Does every file have a clear Date, Author, and Topic tag? AI needs this context to answer questions like "What was our stance *in 2019*?".

Is sensitive PII redacted?

Ensure no private donor lists or internal staff emails are mixed into the public research folder.

Are tables accessible?

Complex financial tables are hard for LLMs to parse. Have you converted key data into clean CSVs or summaries?

Score your readiness

0-1 Checks: You have work to do. Focus on digitalizing your archive.
2-3 Checks: You are ready for a Pilot.
4 Checks: You are ready for Enterprise scale.

Book a specific Data Audit with our team to get a full report.

The AI Readiness Checklist for Think Tanks