Post-call intelligence: understanding what your visitors really want

What happens after each call

When a visitor hangs up, an automatic post-processing procedure triggers and produces three distinct analyses within seconds, without any human intervention.

The first is a conversation summary: a detailed paragraph and a one-sentence short summary. The system also produces improvement suggestions.

The second is a satisfaction score across five levels: high, partial, low, terrible and unknown, calculated from conversation tone, words used, effective resolution and how the exchange ended.

The third determines the recommended next action among six categories: case closed, commercial offer, client will send information, high priority, new contract proposal and requires expertise.

The dashboard: your daily management tool

All information is accessible in an online dashboard. For each call: caller number, date, time, duration, complete transcription with speaker identification, automatically filled visitor card, reminders, satisfaction score, recommended actions and call cost. The monthly overview shows total calls, live calls in progress, overall satisfaction rate and the ten most recent calls with summaries.

What post-call intelligence reveals

Over weeks and months, the data paints a precise portrait of your public. You may discover that 30 per cent of calls concern accessibility, that foreign language calls represent 25 per cent of the total, or that satisfaction scores consistently drop for a specific topic. These are directly actionable operational indicators.

The visitor card: an integrated CRM

During each call, the agent automatically collects and structures visitor information: name, telephone number, email, planned visit date and time, group size, visit type, confirmation number, expressed interests, guided tour details and event registrations. For institutions without sophisticated CRM, this is a considerable asset.

Continuous service improvement

Each call summary contains suggestions about what the agent could have done better. If information was missing from the knowledge base, the summary flags it. The director adds the missing document and the agent can answer next time. This improvement cycle, where each call enriches subsequent capability, fundamentally distinguishes an AI agent from a human receptionist whose experience is personal, unstructured and non-transferable.

From intuition to data-driven decisions

Cultural institution directors make daily decisions about reception, programming, communication, prices and hours, often based on intuition and informal staff feedback. Post-call intelligence complements this intuition with objective, systematically collected data on every public interaction.

AI ARTEDUSA generates this post-call intelligence for every conversation. Find out how at ai.artedusa.com.