
From an answer to an
accountable action.
Put AI into real workflows, with approvals, limits, and rollback built in.
Workflows need reliable execution, not just good answers.
Some steps are intelligent; most are deterministic. All are controlled.
Anatomy of a routine
A rail, with every branch designed in.
Runtime architecture
A clear path, even when things change.
- Trigger
A defined event
- Gather context
Retry or route an exception
- Decide
Human approval where required
- Act
Scope and amount limits
- Confirm
Verify, or roll back
Exceptions return to a named owner.
- Execution
- Approval
- Recovery path
Recovery is defined before production.
Value to targetLess coordination between systems.
Routines handle repeatable steps; exceptions have a recovery path.
Measure: manual touches and exception timeWhat a routine defines
The controls every routine carries.
Approvals
Who signs, when
- Approval paths per decision type
- Escalation when an approver is away
- Evidence of who approved what
Limits
How far an action may go
- Amount, scope, and rate limits
- Hard stops no agent can override
- Different limits for pilot and production
Retries and exceptions
When things fail
- Retries for transient failures
- Exception paths to a person
- Every exception visible and owned
Rollback
Where applicable
- Compensating actions for reversible steps
- Transactions where systems support them
- What cannot be undone is stated first
Integrations
Systems, tools, and people on one path.
Connect what already runs your business.
Routines run through your CRM, documents, ticketing, and finance systems.
- Typed capabilities and permissions
- People as participants, not just approvers
- Every call observable


Put AI into real
workflows, safely.
Pick one workflow with real exceptions and we will define its controls.
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