Intelligent process automation

Automate the work between the systems.

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

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One work item, controlled transitionsExample workflow
Intake

Classify the request and validate its fields

Decision

Apply business rules and review exceptions

Completion

Record the action and a recovery checkpoint

AI, data & automation

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.

An implementation example

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.

One work item, controlled transitions

A service workflow may wait overnight for information before continuing.

A failure to account for

A resumed run uses an approval that expired while the workflow was paused.

Illustrative scenario, not a customer case study.

From implementation to ownership

What your team receives

Agree the scope and the acceptance evidence before delivery starts.

Process state model

Work states, transitions and conditions requiring human judgement.

Included scope agreed before delivery

Action contracts

Validated commands, duplicate handling and external system responses.

Included scope agreed before delivery

Exception runbook

Ownership, diagnosis and recovery for interrupted or uncertain work.

Included scope agreed before delivery

From fragile scripts to recoverable processes

The fragile approach

Connect steps with unattended scripts

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

The intended approach

Persist the process state

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

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