AI in Production
for Critical Operations.

We design, integrate, and govern AI systems for enterprises that can't afford risks with improvisation, rework, or pilots without return.

Enterprise architecture • Legacy system integration • Security by design • End-to-end traceability

+0 yearsin Mission-Critical Software Architecture
0+ industriesserved with AI solutions
Multi-CloudAWS · Azure · GCP · On-Premise
DevSecOpsNative security at every layer
The Current Challenge

0%

of corporate AI projects never reach production.

And it's not for lack of technology.

Most AI projects don't fail at the demo. They fail at integration, governance, security, and the inability to operate in production without creating business risk. The result? Rework, regulatory exposure, pilots without ROI, and hidden costs from poor integration. Meanwhile, competitors move ahead.

WeDevs.AI exists to eliminate this gap. We are senior architects specialized in connecting LLM frameworks and multi-agent systems directly to your business rules. With enterprise-grade security, active governance, and complete traceability of every decision AI makes within your ecosystem.

End-to-End AI Engineering

From concept to production. From governance to monitoring. Each pillar designed to operate in corporate environments with critical security and scale requirements.

A2A & MCP

Autonomous Multi-Agent Systems

Specialized agents that collaborate to execute complex flows, from data processing to decision-making, eliminating manual bottlenecks and accelerating operations with full traceability.

LangChainCrewAIAutoGenOpenAIClaudeA2A Protocol
Secure RAG

Corporate RAG & Datalake Engineering

We connect AI to your real operational data with security, context, and governance. That reduces unreliable responses and accelerates decisions based on trustworthy information.

PineconeWeaviatepgvectorLlamaIndexPostgreSQL
Multi-Cloud

Automation & Cloud & On-Premise Infrastructure

Infrastructure designed for continuous availability and ultra-low latency in production. It operates natively across cloud, on-premise, or hybrid environments with full control.

AWSAzureGCPTerraformDockerKubernetes
DevSecOps

Governance, Compliance & AI Security

Every model, agent, and pipeline operates in compliance with LGPD and sector regulations: automated auditing, granular access policies, and continuous risk monitoring.

OWASPLGPDSOC 2VaultIAMSnyk
Our Process

From Diagnosis to Production in Weeks, not Years.

A clear, predictable, and transparent process. No surprises. No infinite scope. Meetings led by engineers, not salespeople.

01
~2 hours

Architectural Diagnosis

Meeting led by the Lead Architect. We map your current infrastructure, identify high-impact AI opportunities, and assess your operation's technical maturity.

02
Typically 1-2 weeks

Solution Architecture

We design the complete architecture: model selection, integration definitions, governance plan, cloud budget, and detailed timeline.

03
Typically 4-8 weeks

Implementation Sprint

Agile execution in 2-week sprints. Development of agents, data pipelines, legacy system integrations, and cloud infrastructure.

04
Ongoing

Operations & Evolution

Production monitoring, model optimization, guardrail maintenance, and continuous evolution based on real business performance metrics.

Production-Validated Enterprise Stack

We don't choose technologies by hype. We choose by stability, security, and enterprise-scale community support.

When WeDevs.AI Makes Sense

We're not for everyone, and that's intentional. Delivering real results requires focus.

Ideal for companies that:

  • Operate with high data volumes and critical processes
  • Need to integrate AI with ERP, CRM, medical records, legacy systems, or internal databases
  • Operate under governance, audit, or compliance requirements
  • Have tested AI pilots and couldn't scale them
  • Need to move from pilot to production AI with predictability

We're not the right fit when:

  • The project is exploratory without defined internal sponsorship
  • The budget is for a low-investment MVP
  • There's no minimally organized data to work with

Your operation can't afford another "pilot project".

Schedule an architectural diagnosis meeting. No commitment. No salesperson. 60 minutes with our Lead Architect to map your current infrastructure and identify high-impact AI opportunities.

Meetings available Monday to Friday, 9 AM to 6 PM (Brasília Time).