projects · systems in production

Systems in production, not theoretical case studies.

For confidentiality, we present projects by sector and architecture. In a meeting, we go into scope, numbers and learnings of each implementation.

case 01

Real estate

challenge
High volume of leads from portals and ads arriving on WhatsApp, with first-response time dependent on agent availability — and leads going cold outside business hours.
implemented system
AI agent on WhatsApp for instant intake, qualification of the search profile (purpose, region, investment range) and routing to the agent with the full conversation history. Automated follow-up for leads without response.
stack
WhatsApp APIAI agentn8nChatwootCRM
operational outcome
  • First response in seconds, 24/7
  • Standardized qualification before human contact
case 02

International B2B services consultancy

challenge
Multilingual commercial service (Portuguese and Spanish) with a manual qualification process and inconsistent follow-up across time zones and markets.
implemented system
Commercial AI agent with automatic language detection, structured qualification flow and automated follow-up sequences with timing rules per lead stage.
stack
WhatsApp APIMultilingual AI agentn8nSupabaseChatwoot
operational outcome
  • Bilingual service without a dedicated team per language
  • No lead without follow-up
  • Full, auditable history per conversation
case 03

B2B services operation

challenge
Commercial and operational processes dependent on manual execution, without traceability and with recurring rework between disconnected tools.
implemented system
Automation of internal flows integrating service channels, the database and operational routines, with structured logging of each step.
stack
n8nSupabaseAPI integrations
operational outcome
  • Recurring manual steps eliminated
  • Full process traceability
  • Structured base for management KPIs
the pattern behind the projects

Different sectors. Same principle.

In every project, the same pattern repeats: the bottleneck wasn't lack of tools — it was a manual process where a system should exist. executoriadeprojetos.ia's job is to spot that point, design the right architecture and implement it until it works.

recurring architecture
01
Channel
02
AI Agent
03
CRM/Data
04
Dashboard
05
Human Team

Does your operation have a similar bottleneck?

see the method