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.

Pains we solve

  • 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

Flow — AI That Works

From insight to action in the system

Pain

Team queries AI then retypes the result in ERP — double entry and delay.

What we build

Agent with profile-based permissions that queries API, proposes posting or update, and records auditable trail before completing.

Outcome

Operational step closes in the source system; manual queue drops and team reviews exceptions, not retyping everything.

Complex flows without spaghetti

Pain

Each automation starts as an isolated script; nobody maintains it when ERP changes.

What we build

Orchestrator with states, retries, queues, and event contracts — specialized agents per domain.

Outcome

New cases enter without rewriting the core; IT evolves module by module with central monitoring.

Automation with governance

Pain

Leadership approves generative AI but blocks on operational risk and LGPD.

What we build

Scope limits, human approval on sensitive transactions, prompt versioning, and version rollback.

Outcome

Agent runs in production with clear runbook — not a disposable demo after the pilot.

Ready to talk?

Tell us about your operation — we'll help you find the right starting point.

Get in touch