How to automate business processes

IBM defines business process automation as a strategy that uses software to automate complex and repetitive business processes. Its guidance lists practices such as assessing your appetite for automation, identifying processes, scoping the project, involving stakeholders, defining the process steps, setting clear goals, measuring and adapting, and training employees. The steps below put that work in order.

• Choose the process. Look for work that repeats often, follows rules that are mostly known and has one owner. IBM’s examples include employee onboarding, purchase orders and accounts payable, contract management and IT service desk work.
• Measure the baseline. Record cycle time, rework and the people time per case before you change anything, or you will not be able to show that automation helped.
• Map the process as it runs. Interview the people who do the work, then check the map against event data from your systems.
• Split the steps. Fixed rules become workflow steps, reading unstructured input can go to a model, and judgement or anything irreversible stays with a person.
• Place approvals where a mistake costs most: payments, contract terms, access to sensitive systems and messages to customers.
• Build one workflow and test it on real past cases, including the awkward exceptions, before it touches live work.
• Run it, compare against the baseline, adjust, and train the people whose work has changed.

People describe a process as the policy says it runs. Systems record how it actually ran. Microsoft describes process mining as a technology that extracts event data from your systems of record, visualises the processes in your organisation and helps you find the root cause of inefficiencies and the opportunities for automation.

You do not need a process mining product to start. An export of timestamps from a ticketing system or an ERP, sorted by case, already shows where cases wait. Automation pays off most at the waits and handoffs, rather than at the steps that are already quick.

An HR team onboards new starters by email and spreadsheet. The baseline is the number of days from a signed offer to a working laptop and accounts. The event data shows that most of the elapsed time is spent waiting for an IT ticket to be picked up, not on any one task.

The team automates one workflow. A signed offer triggers it. The workflow creates the directory account through the identity provider’s API, opens the equipment order, and drafts a welcome email that the hiring manager approves before it is sent. Access to finance systems needs the manager’s approval at a separate step. A clerk handles any case where the start date or role is missing.

After a month the team compares days to a working laptop with the baseline, reads the exception log, and only then automates the next workflow, which is the first-day schedule.

IBM names three obstacles. What works for one set of tasks may not adapt to another, so scaling is harder than the first project suggests. Keeping people and automated systems in step is complex. And many organisations lack enough process documentation to automate from.

Two more are common. Automating a broken process makes its errors arrive faster. And automation with no record of who approved what leaves you unable to answer an auditor or a customer, so keep an approval record from the first workflow onward.

A model is useful at steps that read or write language: classifying an incoming email, pulling fields from an invoice, drafting a reply. Treat its output as a proposal that a rule or a person checks, especially when the next step moves money or changes a record.

Keep models out of steps that need exact arithmetic or a fixed rule. A total, a tax rate or an approval limit belongs in ordinary workflow logic, where the same input gives the same result every time.

Studio builds agents and workflows for the build and run steps above. A workflow calls models through Connect and tools through integrations, and an approval step pauses a run for a named person. Workflows have versions with promote and rollback, and each step records traces, logs and token cost.

Swfte does not do process mining or screen-level automation of systems that lack APIs. Approvals exist in several parts of the platform and are not one unified inbox, and separation of duties is enforced by whom you assign to each approval step, not by the platform.

• Swfte Studio: agents and workflows
• Workflows on the Swfte platform
• Workflow templates

Facts about other vendors and about the terms on this page were read on the pages below on 7 October 2026. Vendor plans, names and menus change, so check the vendor’s page before you rely on a detail.