Micro G Labs
AUTONOMY

Agentic systems & workflow automation

Workflow automation with explicit checkpoints, lineage, and segregation of duties.

What it solves

Manual queues and brittle automation cap scale; unconstrained agents create control gaps. Enterprises need throughput with segregation of duties and replayable evidence.

How it works

  1. 1Model workflows as explicit states with policy-governed transitions.
  2. 2Instrument actions with correlation IDs, rationale capture, and replay tooling.
  3. 3Integrate with enterprise IAM, secrets, buses, and observability stacks.
  4. 4Operationalise with queues, dead-letter discipline, and SLO-aligned alerting.

Where it applies

  • Claims, underwriting, and servicing in insurance
  • KYC, fraud, and operations in banking
  • Back-office orchestration across shared services

Business outcomes

  • Higher straight-through processing with bounded exception paths
  • Shorter cycle times without sacrificing dispute readiness
  • Supervisory clarity: who approved, what changed, which policy applied

Orchestrating throughput via autonomous agents with explicit checkpoints, replayable evidence, and bounded policy boundaries.