Assessment and decision
Map & Decide
In 7–10 business days, we map the process, quantify the business case, set the safe level of autonomy and deliver a documented recommendation: go or no-go.
Production-grade AI for the processes your operation depends on.
We define where AI belongs, implement it across the systems you already use, and keep the AI layer under governance, with approval limits, audit trails and continuous improvement.
- Data in your environment
- Approval limits and audit trail
- Initial review in 30 min
Our solutions
What we do, from assessment to governance.
Each service has a defined scope, deliverables, timeline and exit criterion.
Build and integration
Build & Integrate
We implement AI automations and agents integrated with your ERP and systems of record, with rules you approve, approval limits and audit trails, through to approval for production.
Support and evolution
Run & Improve
We run and evolve the AI layer in production, with contracted service levels, observability and a monthly report on quality, exceptions and cost.
Governance and scale
Govern & Scale
We structure AI governance, with policies, approval limits and auditing, and extend what works to new use cases under the same control standard.
Technologies we use
Models and technologies we put into production
Member
Control and method
AI with control, security and method.
The three answers every committee asks for before putting AI into a critical process.
Control
You decide what AI decides.
Criteria verified before going into production, autonomy by decision type and approval limits you sign off.
Security
Your data stays with you.
Every automated decision has an approval limit, an audit trail and an owner, under LGPD.
Where we apply it
Critical processes, in any sector.
Financial reconciliation, document triage, control and compliance, and cross-team flows.
Who runs it
Who answers for your project.
The same team from Mapping to operations.
Founder
Marcello Dias
More than 25 years as COO, CIO and CTO, leading regional operations across Latin America and serving on the boards of technology, energy and education companies.
Insights
How we think about AI in critical processes.
Sep 1, 2026 · Alltera editorial
Operation is the work. Technology is the infrastructure.
Agents, models, and automation only come in when critical work goes into production and the operation continues every month.
Aug 18, 2026 · Alltera editorial
Production is not the end of the project. It is the start of operational learning.
The first cycle in production opens observe, correct, and improve. Stopping at go-live wastes what the operation has just taught.
Aug 4, 2026 · Alltera editorial
Organize AI by end-to-end workflows, not isolated departments.
The org chart fragments the case. The customer, the claim, the invoice, and collections cross functions. AI has to follow the work, not the silo.