Workflow discovery
Model Workflow discovery from the roles, decisions and information involved in the real workflow.
Enterprise Platforms & Automation
Intelligent Process Automation
Gromnii designs automation that combines deterministic workflow with AI where interpretation is required.
Request
Workflow
Rules
Systems
Approval
Measure
When this is useful
Use intelligent process automation when a workflow mixes predictable steps with documents, messages or decisions that cannot be handled by fixed rules alone. The process should distinguish deterministic automation from AI interpretation and route uncertain cases to people.
How the workflow connects
This reference shows one possible Intelligent Process Automation arrangement. The actual design depends on the systems, constraints and controls involved.
01Input
02Understand
03Decide
04Automate
05Exception
06Measure
What Gromnii builds
Document / message understanding
Define success, failure and compensation behavior for Document / message understanding across connected systems.
Rules + AI decisions
Route exceptions from Rules + AI decisions to an owned queue with the context needed to resolve them.
Human exception queues
Provide a recovery path in Human exception queues when data is incomplete or a connected system is unavailable.
Audit monitoring
Record approvals and downstream changes made through Audit monitoring for later review.
What it can improve
More complete automation
Handle both structured steps and selected unstructured inputs so automation does not stop whenever interpretation is required.
Better exception handling
Route low-confidence or policy-sensitive cases into clear human queues with the context needed to decide.
Clearer process evidence
Record automated actions, model outputs, approvals and corrections so the workflow remains auditable.
What matters in production
Confidence thresholds
Set confidence rules only where the automation uses probabilistic decisions, routing uncertain cases to review instead of forcing a low-confidence result through the workflow.
Exception design
Define Exception design in the workflow contract so every connected system handles it consistently.
Auditability
Record source inputs, automated decisions, confidence, human overrides and resulting system actions for process steps that require later review.
Fallbacks
Route failed rules, unavailable systems and uncertain AI decisions to a visible exception queue with enough context for a person to continue the case safely.
Related solutions and industries
Discuss a Project
Describe what Intelligent Process Automation should change, the systems it must work with and the constraints that matter.