Keeping an audit trail of what you asked and why — this article focuses on “Auditability” within Ask your documents. Query contract content in natural language. Below is a practical playbook you can apply immediately, and how a knowledge graph keeps facts from living only in PDFs and spreadsheets.
Why “Auditability” deserves its own focus
Under Ask your documents, teams often cram every detail into one summary — and the items that blow up before a deadline get buried. Isolating “Auditability” gives owners a clear definition of done, and gives reminders and dashboards something concrete to hang on.
fida lab’s approach: extract parties, obligations, dates, and amounts from PDFs into a knowledge graph. Chat, expiry radar, cashflow, and calendar all read that graph — they do not re-guess the source text.
Practical steps
- State in one sentence why “Auditability” matters now
- List three risks that will surface within 30 / 90 days if ignored
- Assign a single owner and a backup contact
- Query the graph once for “any similar contracts?” to avoid blind spots
One-week checklist
- Is the document the latest signed version?
- Do amounts and currencies match finance systems?
- Are surviving post-termination obligations flagged?
- If you switch vendor/venue, is the transition window long enough?
Common pitfalls
- Tracking only the “expiry date” and forgetting the “notice period” — a few weeks’ gap can close the renewal window.
- The same counterparty appears under different spellings and gets counted as two companies.
- Keyword search finds a paragraph but cannot answer cross-document portfolio questions.
Summary and next steps
If you are building an operating rhythm around Ask your documents, finish the first two checklist items before automating reminders. Once contract facts live in a knowledge graph, Q&A, expiry, and cashflow views get much cheaper — that is the time fida lab aims to save for SMEs.
Ready to try fida lab?
Stop chasing renewal dates across PDFs and spreadsheets. Create a free account and start turning your contracts into a knowledge graph you can ask, track, and act on.