Listening at scale: how networks and programs listen to hundreds of organizations
Networks and programs that listen to many organizations automate the listening: they receive answers by WhatsApp and form, transcribe the audio, bring everything into one base, and generate assessments and reports for the team to review. CORRE.SOCIAL builds this flow without code, together with the network. At Lab Nova Longevidade, with Ashoka, that meant 1,000+ hours automated.
Example flow
Inputs
- WhatsApp (interview with audio)
- Form
No-code blocks
- Transcribe audio
- Filters
- Conditional
- Classify with AI
- Transform with AI
Outputs
- Dashboard and report
- Send e-mail
- Ready document
The same types of blocks as the Lab Nova Longevidade 2026 mapping: WhatsApp interview with transcribed audio, data cleansing, assessments and e-mails.
Who it is for
Networks, institutes, foundations and programs that listen to, assess or follow many organizations at the same time, and need to turn the answers into decisions without the team becoming a data operator.
What changes
- From the answers spreadsheet to a single database. Each organization answers the same form or on WhatsApp, and the data arrives ready to compare.
- From each supported organization's report to the single dashboard. The dashboard is updated by the routine, not by an end-of-month push.
- From the hand-written assessment to the reviewed draft. Rules and AI blocks put the draft together; the team reviews before anything goes out.
Related cases
- CaseLab Nova Longevidade and Ashoka: 1,000+ hours automated in the ecosystem mappingHow the Lab Nova Longevidade 2026 Mapping, with Ashoka, automated assessments and recommendations for hundreds of social entrepreneurs, using CORRE.SOCIAL no-code flows.Read the case
- CaseCaptação com Causa: AI assistants that help Campinas nonprofits with grant callsHow Captação com Causa, created by the FEAC Foundation with Instituto Phomenta, uses three CORRE.SOCIAL AI assistants to read grant calls, answer questions and suggest project ideas.Read the case
- CaseLongeviver: financial education for longevity on WhatsApp, with CORRE.SOCIALHow the Educação Financeira para a Longevidade course, by OLHE and Longeviver, brings text, audio and video lessons on WhatsApp to people aged 60 or over in São Paulo, using CORRE.SOCIAL no-code flows.Read the case
Frequently asked questions
Does it work for groups that support many organizations?
Yes. Each organization answers the same form, and the data arrives ready to compare.
Can we listen through WhatsApp and audio?
Yes. In the Lab Nova Longevidade 2026 mapping, the interview was on WhatsApp and the audio was transcribed. Transcription is a block of the flow, and the team reviews what the AI writes.
Who reviews what the AI writes?
The client's team. The AI is one block among others and writes the draft. At Lab Nova, the recommendation combines 50+ rules with AI, and the rules make the criteria explicit.
How do you handle personal data and LGPD?
We ask for consent at the point of collection, every action is logged, and we sign a data processing agreement before we start.
Does the platform replace my team?
No. It takes on the repetitive work, like copying data, building reports, and sending reminders. Your team stays in charge of serving people.