Automate the manual work in Aiva

FullSpec maps how Aiva 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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Aiva by the numbers

Insights from real process mapping sessions that involve Aiva.

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Top 5 Aiva friction points when done manually

Manually routing Aiva responses to teams

When Aiva generates customer responses, you have to manually read each one and decide which team member or department should handle the follow-up, wasting time on routing work.

78% report this

Checking Aiva outputs for accuracy

You must review every message Aiva creates before sending it to catch errors, outdated information, or tone issues that the system missed.

71% report this

Updating Aiva with new business rules

When your policies, pricing, or procedures change, you have to manually update Aiva's knowledge base and retrain it on the new information.

62% report this

Extracting data from Aiva conversations

You need to manually pull customer information, requests, and details out of Aiva interactions and enter them into your CRM or other systems by hand.

51% report this

Handling Aiva escalations manually

When Aiva flags a conversation as needing human help, you have to manually search for context, read the full thread, and start from scratch without handoff information.

26% report this

Data points based on anonymized data from FullSpec mapping sessions