Automate the process your business actually runs
Design approvals, routing, SLAs, integrations, human decisions, and exception paths with AI and visual tools, then monitor every execution from one operational workspace.
Request to approved order
Model every happy path and every exception
Combine deterministic process control with AI assistance, human judgment, integrations, and the operational visibility teams need after launch.
Triggers and orchestration
Start workflows from forms, schedules, API calls, webhooks, database changes, or another business process.
Rules and human decisions
Model conditions, parallel paths, approvals, assignments, escalations, SLAs, and delegated decisions.
Systems and data
Read and update application data, call APIs, run scripts, connect databases, and synchronize external services.
Operations and recovery
Inspect every run, diagnose a failed node, retry safely, preserve context, and maintain a complete audit history.
Build workflows around real policies and exceptions
Capture the process in business language, generate the first flow, test it with realistic cases, and publish it with clear operational ownership.
Describe the process
Define the trigger, participants, rules, decisions, deadlines, integrations, outputs, and known exception paths.
Generate the workflow
Use AI to create an editable process graph with the required data, conditions, human tasks, system actions, and notifications.
Test normal and failure paths
Run realistic cases, verify permissions, inspect node outputs, simulate integration failures, and tune retry behavior.
Publish and observe
Release a controlled version, monitor executions and SLA health, review errors, and improve the workflow without losing history.
Automate work across departments
Start with a complete process blueprint that includes data, roles, dashboards, integrations, and exception handling.
Purchase approvals
Route requests by budget, category, amount, department, supplier status, and finance policy.
Explore blueprint →People operationsEmployee onboarding
Coordinate documents, approvals, accounts, equipment, training, reminders, and manager sign-off.
Explore blueprint →Customer serviceTicket routing and SLA
Classify requests, assign teams, escalate risks, trigger knowledge actions, and track resolution targets.
Explore blueprint →Control, observe, and improve every automation
Treat workflows as production systems with clear ownership, permissions, versions, diagnostics, and deployment controls.
- Visual workflow versions and controlled publishing
- Node-level logs, inputs, outputs, and error details
- Retries, timeouts, escalation, and exception queues
- Role-based workflow design and operational access
- API, webhook, database, email, and custom integrations
- Cloud, private cloud, and on-premises deployment
Workflow automation FAQ
What types of workflows can INFORMAT automate?
Teams can automate approvals, routing, notifications, SLA management, data updates, scheduled operations, API orchestration, exception handling, and processes that require human decisions.
Can AI generate a workflow from natural language?
Yes. A structured process description can generate the first editable workflow, including triggers, conditions, tasks, actions, and exception paths. Teams should test and approve it before production use.
How are workflow failures handled?
Operators can inspect node-level context and errors, apply configured retry and timeout policies, route failures to exception queues, and preserve an auditable run history.
Can workflows connect to existing enterprise systems?
Workflows can use APIs, webhooks, databases, scripts, application data, and custom connectors. Integration design should account for authentication, rate limits, idempotency, retries, and data ownership.
Turn a manual workflow into an observable automation
Describe the trigger, decisions, exceptions, and outcomes. Generate the first flow and refine it with your team.