Platform
Turn informal processes into visible, accountable execution.
Model normal flows, exceptions, approvals, timers, queues, policies and agent-assisted steps in one governed system.
Human tasks and AI actions share one auditable workflow.
Capabilities
What the layer provides. Every module and customer system inherits it rather than rebuilding it.
States and transitions
The real path a piece of work takes, including the ones nobody drew.
Conditions and rules
Branching on the data rather than on a person remembering.
Role assignment
Who owns a step, and who can act when they are unavailable.
Forms and checklists
Structured capture at the point the work happens.
Timers and escalations
What happens when nothing happens, which is most of what goes wrong.
Webhooks and events
Telling other systems, and being told, without a nightly export.
Approvals
Consequential steps stopping for a named human, recorded as they happen.
Agent tasks
AI steps inside the same workflow and the same audit trail as human ones.
Exception-first design
Most workflow tools model the ideal path and treat everything else as an error. Real operations are mostly exception: the rush order, the partial delivery, the customer who is also a supplier, the approval given verbally on a Friday.
So exceptions and manual overrides are modelled explicitly — represented, permitted and recorded — rather than forcing people back into email to do the thing the system would not let them do.
SLA management
Timers, warning thresholds, breach alerts and root-cause reporting. A breach that surfaces only in a monthly report is not a service level; it is a description of what already went wrong.
Control
Workflows are versioned, testable in a sandbox, approved before release and reversible after it. Changing how work flows is a change like any other, and it is auditable as one.
How it is measured
Defined before launch and re-measured after. These are the measures; results belong to a specific engagement.
- Cycle time
- Start to finish, per workflow.
- Waiting time
- Time in queue rather than in work — usually the larger half.
- Rework
- Steps repeated because something earlier was wrong.
- Exception rate
- How often the ideal path is not taken.
- Bottlenecks
- Where work accumulates, visible as it happens.
- Throughput
- Completed work per period, per team.
A note on automation
Automating a process nobody understands makes it faster and no better. Discovery comes first, and where a process turns out to be broken we will say so rather than encode it in a workflow engine.
Bring one workflow
The clearest way to evaluate this is against a process you already run, with its exceptions included.