Governance

Call web services, execute sub-workflows, send email, manage state, write audit logs, and invoke AI—all composable operations that chain together into powerful agentic automation sequences.

A complete set of source and target lifecycle controls—initialize, read, map, save, delete, commit, and rollback—giving workflows full transactional control over every record across every connected system.

A full Excel-compatible financial function library, comprehensive math and trigonometric operations, and calendar- and fiscal-aware date functions—enterprise computation built directly into your workflows.

Extensive string transformation and validation, complete file and folder management, and infrastructure conditions that bring operational awareness—host availability, service status, disk utilization—directly into workflow logic.

When built-in operations aren't enough, Custom Actions and Conditions—Script, Expression, Function, and Composite—let developers extend the platform without disrupting the no-code experience for everyone else.

Deploy 2 to 10+ AI models simultaneously for any task. Configure which models participate and define consensus criteria—all through an intuitive no-code interface.

Advanced algorithms automatically identify when a model's response significantly deviates from consensus. Outliers are flagged, logged, and can trigger custom workflows—ensuring anomalies never go unnoticed.

Define exactly what counts as agreement: the most common result, unanimous agreement, or confirmation of a primary model — or route to a custom activity. Specify in advance how deadlocks are resolved — complete control over your validation strategy.

When models disagree, predefined rules decide what happens next — defer to the primary model, return a specific value, return Invalid (False) as a fail-safe, or run a custom activity — so mission-critical processes never stall and never guess.

Track consensus rates, identify frequently divergent models, analyze agreement patterns, and monitor confidence scores over time. Data-driven insights help refine your AI strategy and optimize model selection.

All configuration happens through visual tools—no programming required. Drag, drop, configure consensus rules, and deploy. Transform experimental AI into production-grade systems with the reliability your business demands.

Workflow activities, data source connections, data source metadata, AI Settings, Environment Settings, Users, Actions & Conditions, and Workflow Details can all be secured the same way — the same access control, applied the same way, on any record that needs it.

Once a record is secured, only someone with the right credential can view or edit it — everyone else, including other authenticated users, simply doesn't see it.

A secured record stays locked until the right credential unlocks it — simple to apply in one click, with nothing to configure and no permissions list to maintain.

Secure isn't a bolt-on module or a different admin console — it's the same button, using the same access control, wherever appRules asks you to protect something sensitive.

Every workflow run is captured as an instance record — start time, end time, elapsed time, current state, completion status, who ran it and when, and whether generated files still exist. Reload any historical run and drill straight into its statistics.

Execution counts for every workflow activity: how many times it ran, how many executions were valid versus invalid, how many were skipped or skipped on condition, how many threw exceptions, and elapsed time totals for performance tuning.

Every read, insert, update, delete, and skip against every connected data source is counted per activity, alongside any errors encountered — a complete audit trail of exactly how your workflow touched enterprise data.

Track every AI provider call by activity — total calls, input and output token consumption, the model settings used, and the finish reason for each response. See exactly how much of your AI budget each activity is consuming, model by model.

Every condition evaluated during the run is logged with total executions and a breakdown of how many evaluated true versus false — turning your business logic into measurable, auditable statistics instead of a black box.

Every action execution is tracked with total executed counts and a valid versus invalid breakdown, so you can immediately identify actions that are failing validation before they become a production issue.

Follow every workflow variable from its starting value through to its current value at the moment of logging — essential for debugging complex data transformations and multi-step AI reasoning chains.

Detailed, timestamped runtime log entries — by activity, entry type, and message ID — capture the raw execution narrative of the workflow, the definitive source of truth when you need to know precisely what happened.