Acquisition
Capturing, qualifying and organizing opportunities into a trackable flow.
Applied AI · Automation · Data · Cloud
33 DIGITAL TECHNOLOGY
Technology that turns operational complexity into measurable growth.
We connect applied AI, automation, data and cloud to reduce rework, speed up decisions and sustain operations that need to grow with control.
Applied AIAPIsCloudData
CORE TECHNOLOGY
Intelligent Growth Infrastructure.
Core Technology is 33 Digital's commercial focus: an operating foundation that connects automation, AI, data and digital relationships to turn growth into a system, not improvisation.
Relationship
Service, history, continuity and intelligent agents connected to the client context.
Operation
Task automation, integration between tools and reduction of manual steps.
Intelligence
Structured data for analysis, decision-making and continuous improvement of the operation.
It's not on-demand service
We don't just sell hours, loose parts or disconnected automations that die after delivery.
It's recurring infrastructure
We create flows, data and systems that can be reused, connected and evolved on new growth fronts.
TECHNOLOGY STACK
The architecture that makes AI, data and automation work in the same flow.
33 Digital combines artificial intelligence, APIs, automation, cloud, data, intelligent agents and integrations to turn scattered inputs into traceable routines, better decisions and measurable execution.
AI and intelligent agents
Models and agents applied to screening, service, classification, context enrichment and decision support within the company's routine.
APIs and integrations
Connection between forms, CRM, ERP, service channels, databases and external platforms to reduce rework and loss of information.
Operational automation
Flows that validate data, activate those responsible, update systems, record history and keep critical processes moving.
Cloud, data and governance
Environments prepared for storage, permissions, backup, monitoring, security and continuous evolution of solutions.
Data entry
Intelligent processing
Business rule
Integrated execution
Metrics and evolution
PROTOCOL 33
Marketing attracts attention. Intelligent infrastructure turns attention into continuity.
Automation, data, AI and operational architecture need to work together — not in parallel, but in the same flow that captures, decides, executes and improves.
Diagnosis
Architecture
Measurement
Scale
TECHNOLOGY STACK
How technology becomes business flow.
The 33 Digital stack connects data input, intelligent processing, business rules, automations, integrations and operational tracking so AI, APIs, cloud and data work inside real processes.
Input
Forms, digital channels, APIs, documents, internal databases and public sources with clear purpose.
Processing
Validation, enrichment, classification, AI, agents and business rules applied to context.
Execution
Automations, alerts, CRM, service, integrations, analysis and human action when needed.
Management
Dashboards, history, metrics, audit, security and continuous operational improvement.
Applied example: a lead enters through a form or service channel, is qualified by AI, matched with internal data, registered in the CRM, routed to the right person and tracked through response, conversion and potential value metrics.
Criterion: each component needs a clear role in the workflow, measurable impact and integration with the business routine.
PROOF OF CAPABILITY
Data maps: where information starts, moves and becomes decision.
Before automating, we map sources, fields, permissions, integrations, risk points and possible uses. This avoids building elegant systems on broken, duplicated or ungoverned data.
Forms, CRM, spreadsheets, ERPs, APIs, public databases, documents and service channels.
Required information, sensitive data, duplicates, gaps and quality standards.
Who creates, who validates, where information is stored and which systems need to receive it.
Risk: permissions, exposure, retention, LGPD, audit and need for human review are mapped before automation.
Execution: the map shows which integrations to prioritize, which automations reduce rework and where AI can act without invading sensitive decisions.