Nearshoring · São Paulo, Brazil
Outsourced managed agentic execution. Americas time zone.
Senior Brazilian teams that design, build, operate, and answer for teams of AI agents — with cost-per-task, behavior SLA, and audit trails. Billed in dollars.
Why Brazil, and why AInda
↑ Online at the same time
US Eastern Time
São Paulo
+1 h+2 h↳ Someone on call for behavioral incidents
Overnight handoff
One team logs off as the other logs on.
Overlapping working hours, not overnight handoffs
São Paulo is one to two hours ahead of US Eastern Time. Teams are online at the same time for most of the day, which matters more for AI agent operations than for staff augmentation, because behavioral incidents require immediate action from someone on call.
Audit discipline built under demanding regulations
Brazil's data protection law grants the data subject a right to review decisions made solely by automated processing, and the regulator (ANPD) publishes a regulatory agenda. We build the audit trail because our home market already demands it — you inherit the discipline.
Only 10%maintain both audit trails for AI agents and links from the decisions back to the data sourcesModern Data Survey 2026Senior engineering, without building a team
You contract the operation of an agent team, not headcount by the hour. The squad answers for the same five indicators we contract in Brazil, and the intellectual property we build is yours, in an open format.
Only 13%of corporate professionals are proficient in agentic AI — the lowest of 14 skills assessed, across 88,753 assessmentsWorkera, via Algeria Tech NewsWhat you get
The same contracted indicators as any AInda operation, in Brazil or abroad. Process behavior and performance, with a value agreed per process.
- Unit of work
- Record of each execution
- AInda Controle (our control layer)
- The five indicators
- 01Accuracy rate per process
- Correct outcomes over total processed.
- 02Human intervention rate
- Cases that required unplanned human action.
- 03Resolution time
- Average time from intake to case completion.
- 04Maximum cost per unit of work
- Cap per unit, measured monthly.
- 05Incident containment time
- From detection to stopping the effect.
Values agreed per process and reported monthly, with a historical series and a baseline.
Engagement models
Fixed-scope build
A fixed price for a defined implementation, with measured acceptance criteria. Typically the first four to six weeks, before the operations subscription starts.
Operations subscription
Monthly contract, per AI agent team, with behavior and performance SLA, and AInda Controle (our control layer) included. This is the long-term shape of the relationship.
Per unit of work
Priced per completed task: invoice reconciled, contract reviewed, claim triaged, ticket resolved, or pull request reviewed — with harness telemetry as the source of truth. Requires instrumented processes and measured baselines.
Critical questions and answers
Who owns what we build?
The client. Skills, integrations, behavior tests, and audit trails are delivered in an open format, and the transfer is included in the contract from the start — not negotiated at the end. We have a reference harness we know inside and out, but it's not a condition of working with us. The client specifies what to use, and we adapt.
How do you handle our data and credentials?
Agents receive their own credentials, distinct from human credentials, with authority defined by positive enumeration: what is not enumerated is prohibited by design. By default, AInda Controle runs in your environment: your data and evidence never leave your infrastructure, and we access them with agent credentials that you delegate and can revoke. If you prefer, we run an instance dedicated to your company, hosted in Brazil.
What happens when agents make mistakes?
The responsibility boundaries come from signed documents, with liability caps, defined remedies — re-execution or credit — and an enumerated list of events that suspend the obligations. We do not sell absence of risk. We sell risk that is known, bounded, measured, and owned.
Do you promise outcomes?
Only where we can measure it, using structured and deterministic formats. A results obligation requires three cumulative conditions: a baseline measured and accepted in writing, at least one quarter of proven operation, and a contractual exposure cap. Without a baseline, the contract records only a best-efforts commitment — and we say so in the proposal, not in renegotiations.
A baseline measured and accepted in the contract
Comes from · Agentic Sprint Zero
At least one quarter of proven operation under AgentOps
Comes from · Managed AgentOps
Contractual exposure caps
Comes from · Authority and Delegation Matrix
All three: a results obligation
Within the caps.
One missing: a best-efforts commitment
Stated in the contract, not implied.
How does billing work?
In dollars. AI model tokens can run on your own API keys, which gives you direct visibility of costs and reduces intermediation costs.
Start with an analysis of your situation in AI and agents.
Three weeks of work: each initiative and AI agent identified, with named owners, estimated costs, and a list of what to switch off, formalize, evolve, and scale.