Automate one defined workflow with approved inputs, exception handling, and human review.
For a repeated task with a process owner, available data, authorised access, and a clear approval boundary.
Start with the task, controls, and measurable outcome.
Define the task, inputs, exceptions, owner, approval, and output first.
AI prepares the work. Your staff approve it.
The AI reads the document, prepares the entry, and waits for a person to approve before anything important happens.
read_document(document: "supplier-invoice.pdf")required fields extractedmatch_purchase_order(supplier and line items)purchase order matcheddraft_accounting_entry(approved field mapping)entry prepared for reviewThe invoice was checked and the accounting entry is ready.
- Document
- Fields extracted
- Purchase order
- Matched
- Status
- Waiting for finance approval
Entry posted after approvalCompleteA suitable workflow has repeatable inputs, measurable delay, clear ownership, and accessible data.
The task repeats with known inputs
The delay has an operational consequence
A process owner can define the rules
Data and system access are available
Three practical workflow patterns.
Document intake and approval
- Receive the document
- Extract fields and flag exceptions
- Record the reviewed result
Useful output
Review queueApproved record
Reporting and exception preparation
- Collect data from agreed sources
- Apply checks and flag discrepancies
- Prepare the reviewed report
Useful output
DashboardException list
Enquiry and internal work routing
- Receive the message or request
- Classify and prepare a draft
- Let staff review before sending
Useful output
Assigned queueDraft reply
Important actions stay visible and reviewable.
Define approved sources
Design for exceptions
Keep human approval where it matters
Test with real cases
The same three engagement models apply.
When the workflow, system state, access, or right first use case is unclear.
For one defined workflow with acceptance criteria and a controlled release.
When automation is one ongoing priority inside a known live system.
Final scope depends on data quality, access, integrations, user roles, exceptions, and production risk.
Common questions.
- Can this work without replacing our current system?
- Often, yes. The workflow may use existing APIs, exports, documents, or a separate review tool. We confirm what is possible after checking the current setup.
- Will AI be 100% accurate?
- No. Important workflows need confidence checks, exception handling, and human approval.
- Can AI approve or send things automatically?
- Possibly for low-risk cases after sufficient control and testing, but we usually begin with AI preparing the work and people approving material actions.