Description

I help teams turn manual sales, support and operations workflows into reliable AI-assisted systems.

My work sits between AI automation, RevOps and enterprise architecture: CRM process design, API integrations, n8n/Make/Zapier-style workflows, knowledge-base assistants, dashboards, logging, human handoff and runbooks.

I bring 15+ years in enterprise technology and cloud architecture, plus hands-on product work through AgenticosCore, CantuStudio and FaithSchool. That means I can help with both the business workflow and the technical implementation.

Typical missions:

- AI automation for sales, support and operations

- CRM/RevOps cleanup, lead routing and reporting

- API/webhook integrations between SaaS, ERP and internal tools

- Knowledge-base assistants and RAG with approval gates

- BI/chat dashboards and operational reporting

- SaaS MVPs and internal tools

I work best with scoped milestones: diagnostic first when the path is unclear, then a working MVP, tests, documentation and a handoff your team can operate.

Industry field of expertise

Languages

English
Native or bilingual
Portuguese
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Pierrondi.dev
AI Automation and RevOps Consultant
June 2024 - Today (2 years and 1 month)
I build practical AI automation for teams that need reliable workflows, not demos: CRM/API integrations, RAG assistants, dashboards, logging, human handoff, monitoring and operational runbooks.Built AI automation and RevOps workflows for practical business operations: CRM/API integrations, n8n-style workflows, RAG assistants, dashboards, logging, human handoff and runbooks. Focused on reliable implementation, scoped access, secure data flow, monitoring and measurable business outcomes.
ORACLE
Principal Cloud Solution Architect
February 2020 - May 2024 (4 years and 3 months)
Designed and positioned cloud architecture, API integration and enterprise transformation programs for complex customers.
Delivery focus: scoped MVP, documentation, testing and operational handoff.

Focused on connecting business requirements with practical implementation plans: integration patterns, governance, data/security constraints, stakeholder alignment and phased roadmaps.

This experience is directly relevant to AI automation work because most successful agents and workflo
ws depend on solid systems architecture, clean integration boundaries and operational handoff.
AI Automation Digital Transformation IT Strategy CRM Project Management