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AI Partners · 239 agents in production

We turn manual operations into systems that work.

We're a complete solution for software development, AI, AI architecture and end-to-end automation. 239 agents in production, ready to plug into your operation.

Stop wasting time on repetitive tasks and human error. We map, design and run it — from diagnosis to production.

Map my operationSee an operation running
0+operations in production
0agents ready to plug in
0%lower operating cost

Consulting, engineering and continuous operation. One partner from diagnosis to scale.

How we ship
Plug-and-playEnd-to-endPartial / per stageSpecific taskMVP for startupsAI-first
operation · live
NEW REQUEST RECEIVEDauto
documents identified
data extracted and validated
internal system consulted
rules applied
document prepared
owner notified
Human intervention needed
no
Total time
02m 18s
structured intakegoverned RAGdocument generationcontract redlinedeadline engineaudit trailorchestration agentstool callingpolicy enforcementhuman-in-the-loopmonitoring · driftcost guardrailsvector retrievalstructured outputscontinuous evalsstructured intakegoverned RAGdocument generationcontract redlinedeadline engineaudit trailorchestration agentstool callingpolicy enforcementhuman-in-the-loopmonitoring · driftcost guardrailsvector retrievalstructured outputscontinuous evals
The problem

Your problem isn't a lack of AI.
It's too much invisible work.

· Copy data
· Check documents
· Chase replies
· Update systems
· Prepare reports
· Route tasks
· Track open items
· Repeat tomorrow

On their own they look like small tasks. Together they erode margin, build queues, raise risk and make every new customer require more people.

We turn that invisible work into software.

The shift

One process in. One result out.

Requests arrive by email, form, WhatsApp or system. Agents understand context, look up data, run tasks, update tools and prepare the delivery. When information is missing, risk shows up or a decision is needed, the system calls the right person.

End-to-end automation. Human intervention by exception.

Antes

Manual operation

  1. 1
    Request comes in
  2. 2
    Email becomes spreadsheet
  3. 3
    Someone copies data
  4. 4
    Someone else double-checks
  5. 5
    WhatsApp message
  6. 6
    System updated by hand
  7. 7
    Rework
Depois

Operation as a system

  1. 1
    Request comes in
  2. 2
    AI agents understand context
  3. 3
    Data, rules and systems consulted
  4. 4
    Automated validation
  5. 5
    Human exception, when needed
  6. 6
    Delivery, record and audit
What we sell

Three ways to transform your operation.

Not eleven separate services. Three paths to the same result: a better operation. Each, in production, below.
01 · automate an operationlive
01intake02agent03validate04deliveroperation · liveavg time · 02m 18s · no intervention

Request → execution → delivery

01 · execution

Automate an operation

We pick a high-impact process and automate the whole flow: intake, analysis, execution, approval, system updates and delivery.

Map the first flow →
02 · build an AI systemlive
01intake02RAG03agent04tools05memory06policy07audit

Composition of governed agents

02 · product

Build an AI system or product

We build platforms, copilots, knowledge systems, agents, vertical products and proprietary applications.

Talk about the product →
03 · operate AI in productionlive
quality98.6%cost/op-40%exceptions2.1%

Quality, cost and exceptions monitored

03 · operations

Operate your AI in production

We monitor quality, cost, security and performance. We fix regressions, update models and evolve the flows continuously.

Take over operations →
What's different

The model is only one piece.
The operation is the product.

An AI prototype can shine in a demo. Production demands far more — and that's where most projects stall.

That's where our work begins.

Integration with real systems
Permissions and operating limits
Exception handling
Objective quality evaluation
Audit trail
Cost control
Continuous monitoring
Proof

Enterprise AI isn't proven in slides.
It's proven in production.

In real operations our systems already run intake, classification, knowledge retrieval, document generation, event tracking and system updates.
0+
end-to-end automated operations
0
governed agents in production
0%
operating cost reduction in automated operations

Up to 40%. Each case discloses process, baseline, period and methodology.

0%
Finds the right source in 9 out of 10 searches (in production)

Test base, set size and date disclosed in each case.

Numbers without context breed distrust. Every metric opens a case showing process, baseline, period, method and result.

Verticals

Three distinct promises, one underlying system.

Where to start

Start with the right process.

In two weeks we map your operation and deliver an automation business case — not a generic AI report.
Deliverable · 2 weeks

AI Operations Assessment

Business case
  • Flow with the highest return potential
  • Current cost of the process
  • What can and can't be automated
  • Recommended architecture
  • Risks and governance requirements
  • Impact estimate
  • First-deployment plan
Diagnosis, baseline and plan — not a generic report.Find my first flow →
Build partners
ClaudeCodexCursorLovableGitHub CopilotChatGPTGeminiClaudeCodexCursorLovableGitHub CopilotChatGPTGemini
Cloud infrastructure
Google CloudAWSMicrosoft AzureCloudflareSupabaseGoogle CloudAWSMicrosoft AzureCloudflareSupabase
próximo passo

Which process in your company still depends on someone remembering the next step?

We build the custom system or deploy agents as employees of your office. Fully tailored to your operation — measurable, governed and increasingly autonomous.

Map my operation