Automate the manual work in Relevance AI

FullSpec maps how Relevance AI fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Relevance AI by the numbers

Insights from real process mapping sessions that involve Relevance AI.

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Top 5 Relevance AI friction points when done manually

Relevance AI document scoring takes hours

You manually review and score hundreds of documents in Relevance AI to find the most relevant ones, consuming entire afternoons on repetitive ranking tasks.

78% report this

Relevance AI results need constant verification

You cannot trust Relevance AI's initial relevance rankings without manually spot-checking results against your actual business criteria, forcing duplicate review work.

71% report this

Relevance AI outputs require manual reformatting

You export results from Relevance AI and spend time restructuring the data into formats your team actually uses in spreadsheets or reports.

62% report this

Relevance AI searches need repeated tuning

You run the same Relevance AI queries multiple times with different parameters because initial results miss critical documents your business needs.

50% report this

Relevance AI findings require manual context

You manually add business context and notes to Relevance AI results so your team understands why certain documents ranked high or low.

25% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Relevance AI

Browse popular Relevance AI automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.