# Automate the work between the systems.

Intelligent process automation

Combine deterministic business rules and bounded AI tasks with checkpoints and human escalation.

## One work item, controlled transitions

Illustrative workflow.

- Intake: Classify the request and validate its fields
- Decision: Apply business rules and review exceptions
- Completion: Record the action and a recovery checkpoint



## Interpret where useful. Enforce where necessary.

### Work orchestration

Coordinate model calls, business rules and existing APIs using explicit task states.

### Execution budgets

Bound attempts, duration and tool access so an uncertain result cannot create uncontrolled follow-on work.

### Exception recovery

Keep failed steps visible with their inputs and outcomes, then resume from a known checkpoint.

### Durable steps

Persist completed work so a restart can resume the workflow without repeating external side effects.

### Asynchronous delivery

Use queues for slow tasks and make retries, dead letters and manual intervention explicit.

### Browser workflows

Where no suitable API exists, assess controlled browser automation with change detection and a recovery path.

## Automate the exceptions as carefully as the happy path

A process crosses inboxes, applications and people. Model the states explicitly so a timeout, duplicate message or uncertain classification cannot silently lose the work.

Illustrative scenario, not a customer case study.

A service workflow may wait overnight for information before continuing.

Persist a state machine with versioned inputs and completed step identifiers. Resume from the last committed boundary and revalidate time-sensitive assumptions before a write.

Verification: Exercise interruption at every boundary and verify that the final business outcome occurs once.

## What your team receives

Included scope agreed before delivery.

- Process state model: Work states, transitions and conditions requiring human judgement.
- Action contracts: Validated commands, duplicate handling and external system responses.
- Exception runbook: Ownership, diagnosis and recovery for interrupted or uncertain work.

## From fragile scripts to recoverable processes

### Connect steps with unattended scripts

A retry may repeat an external action while the original request is still waiting for a response.

### Persist the process state

Use stable work identifiers, idempotent commands and a queue for cases that require an authorised person.

## Where should AI sit in an automated workflow?

Use it where interpretation is useful, such as classification or drafting. Keep financial calculations, permissions and irreversible transitions in explicit application rules.