Line B

Automation that actually completes the task

It doesn't stop at chat: it queries systems, triggers workflows, and requests human approval only where operations require it.

  • Agents with access to ERP, CRM, email, and internal queues
  • Multi-agent orchestration for cross-department processes
  • Configurable human approval at critical steps

Where to startKickoff Module

Book a conversation

Tell us your AI That Works scenario. Our team will reach out to find the best time.

No commitment. We only use your data to answer this request.

Pains we solve

If any of these sounds familiar, the conversation is worth it.

  • Repetitive process requires ten clicks across different systems — human error and queue buildup.
  • Proof of concept answers well but doesn't complete the task in the source system.
  • IT blocks automation without trail, rollback, or clear permission limits.

What we build

  • Agents with access to ERP, CRM, email, and internal queues
  • Multi-agent orchestration for cross-department processes
  • Configurable human approval at critical steps
  • Observability: decision log, cost per execution, and replay
  • Integration with orchestration platforms (LangGraph, n8n, or custom layer)

How we deliver in practice

AI That Works

From insight to action in the system

The problem
Team queries AI then retypes the result in ERP — double entry and delay.
What we do
Agent with profile-based permissions that queries API, proposes posting or update, and records auditable trail before completing.
What changes
Operational step closes in the source system; manual queue drops and team reviews exceptions, not retyping everything.

Complex flows without spaghetti

The problem
Each automation starts as an isolated script; nobody maintains it when ERP changes.
What we do
Orchestrator with states, retries, queues, and event contracts — specialized agents per domain.
What changes
New cases enter without rewriting the core; IT evolves module by module with central monitoring.

Automation with governance

The problem
Leadership approves generative AI but blocks on operational risk and LGPD.
What we do
Scope limits, human approval on sensitive transactions, prompt versioning, and version rollback.
What changes
Agent runs in production with clear runbook — not a disposable demo after the pilot.

Next step

Shall we talk about it?

Tell us your scenario. We come back with a first path, no commitment.

  • No-commitment conversation
  • Clear scope before you sign
  • Everything stays yours, no lock-in

Book a conversation

Tell us your AI That Works scenario. Our team will reach out to find the best time.

No commitment. We only use your data to answer this request.