Process Automation

Process automation: choosing the right processes and preparing them for automation

Process Automation at a Glance

Every manual step in a business process costs you twice: once in the time it takes to complete, and again in the risk that it introduces. The more routine tasks you can automate, the fewer opportunities for errors.

Yet, only 11% of UK firms report using technology extensively to automate or streamline their operations, according to the British Chambers of Commerce.

Process automation removes repetitive activities such as data entry, validation, routing, reminders and filing, leaving people to focus on the items requiring judgement. For UK finance, HR, contracts and operations teams, it means shorter approval cycles, fewer duplicate payments and records that can be retrieved quickly during audits or HMRC compliance checks.

Process automation: key takeaways

Process automation is the execution of business process steps by software, according to defined rules, without a person performing each step.
It covers several technology categories: business process automation (BPA), robotic process automation (RPA), workflow automation, intelligent document processing (IDP) and intelligent process automation (IPA).
Each automation technology makes different assumptions. RPA relies on structured fields, while system integration requires applications at both ends. Most business processes begin with a document that provides neither.
AI extends automation by classifying documents and extracting data from a wide range of layouts and formats, while people remain responsible for approvals, exceptions and accountability.
Digitisation is not the same as automation. Scanning a document creates a digital image; automation depends on structured data that systems can process.
Process automation is most effective when introduced in the right order: digitise documents, structure the data, route the work, automate the process, then apply AI where it adds value.
The best candidates for automation are high-volume, repeatable processes that follow clear rules and generate relatively few exceptions. Processes that rely on frequent judgement, have low volumes or lack defined rules are often better standardised before they are automated.

What is process automation?

Process automation uses software to carry out defined business tasks and move work from one stage to the next without manual intervention. Every business process has a trigger, a sequence of activities and an outcome, whether that's paying a supplier invoice, onboarding a new employee or approving a contract.

The repetitive, rules-based parts of a process are the best candidates for automation. Tasks such as data entry, validation, routing, reminders, status updates, system updates and document retention can all be automated, while decisions that rely on judgement remain with people.

Digitisation and automation are closely related but not the same. Scanning a document creates a digital record; automation begins when software can extract information from that document and use it to drive the next step in the process. A paperless process can still depend entirely on manual work.

Process automation means more than buying software. Technology provides the tools, but success depends on choosing the right processes, preparing the information they rely on and agreeing how they should work. Otherwise, automation simply accelerates an inconsistent process.

Types of process automation

Process automation covers a range of technologies, each designed for a different type of task. Rather than replacing one another, they often work together. The comparison table below explains what each technology does, where it works best and the assumptions it makes about the information it receives.

Category	What it automates	Typical use	What it assumes about your data	Where it breaks
Business process automation (BPA)	An end-to-end process running across departments and systems	Purchase-to-pay, employee onboarding, order processing	That the process is documented and its data is held in systems that can exchange it	Processes nobody has written down, and steps that exist only as one person’s habit
Robotic process automation (RPA)	Repetitive keyboard and screen actions inside existing applications	Moving data between an ERP and a portal where no integration exists	That the data is already structured and appears in the same place every time	Screen and layout changes, and any input arriving as a document rather than a field
Workflow automation	The movement of a task or document between people and stages	Invoice approval routing, holiday requests, document review and sign-off	That each item carries metadata to route on, such as value, supplier, department or type	Items with no index data, because there is nothing to route by
Intelligent document processing (IDP)	Reading documents: classification, data extraction and validation	Supplier invoices, delivery notes, application forms, HR paperwork	Nothing structured. IDP is what creates the structure	Poor-quality scans, and extracted data accepted without an accuracy threshold
Intelligent process automation (IPA) and hyperautomation	The categories above combined with AI and machine learning	Exception handling, classification, and decisions that vary case by case	That the underlying process and its data are already reliable	Processes that were never stable, where the effect is to scale the error

Process automation, workflow management and BPM

Although they're often used interchangeably, process automation, workflow management and business process management (BPM) refer to different layers of business process improvement.

Workflow management and process automation work best when they're designed together. Automating individual tasks delivers limited value if the overall workflow still depends on manual coordination.

For workflow anatomy, task ownership, escalation, substitution and auditability, see our workflow management page.

Term	What it governs	What it answers
Process automation	Execution: how the steps are carried out without people	Which steps can software perform, and on what input?
Workflow management	Coordination: who does what, in what order, with what escalation	Who owns this task now, and what happens when they are away?
Business process management (BPM)	Design and governance of processes across the organisation	Is this the right process, and is it performing?

Why automation projects stall: the document bottleneck

Automation can only act on information that systems can read. It’s why many automation projects struggle to move beyond the pilot stage.

RPA depends on structured data, while API integrations assume systems at both ends can exchange it. Most business processes begin with neither. They start with a document in a shared inbox, a PDF attachment or a scanned form that contains information people can read, but systems cannot.

Document process automation — automating processes that begin with an invoice, application form, delivery note or signed contract — is where this challenge is most apparent. It's also where many UK organisations see the greatest opportunity for automation.

Successful automation follows five stages:

Digitise

Capture documents from paper, post or email into a controlled point of intake. Read more about creating a paperless office and document digitisation

Structure

Convert documents into usable data by applying OCR, classifying document types and extracting the fields your process depends on.

Route

Use that data to send work to the right person, queue or system.

Automate

Apply business rules for validation, matching, approvals, reminders, posting and retention.

Apply AI

Extend automation to documents with varying layouts and to exceptions that fixed rules cannot resolve.

Skipping a stage doesn't remove the problem; it simply moves it elsewhere. This is where intelligent document processing (IDP) adds value. It turns documents into structured, machine-readable data by classifying them, extracting key information and measuring the confidence of those results. Documents that fall below your confidence threshold can be routed for manual review before entering the automated workflow.

Before investing in automation, ask two simple questions: What is the first input to the process, and where does it arrive? If the answer is "a PDF in a shared mailbox", the first priority is making that information machine-readable rather than automating the workflow around it.

Where process automation is used

Process automation delivers the greatest value where work is high volume, follows consistent rules and produces measurable outcomes. These are some of the most common use cases for UK mid-market organisations:

Finance and invoice approval

Invoice processing is often the first process organisations automate. Invoices are captured, matched against purchase orders and goods received notes, routed for approval and posted to the finance system. Exceptions such as price variances, missing purchase orders and supplier bank detail changes still require human review.

HR and onboarding

Automation issues contracts and forms, tracks their completion, chases outstanding actions and keeps everyone involved informed. This is particularly valuable for organisations where employee onboarding is managed by line managers rather than dedicated HR teams.

See our onboarding checklist.

Contracts and legal review

Contract automation keeps agreements moving through drafting, review, approval and renewal. It manages version control, approval history, review cycles and renewal dates, while legal decisions remain with the appropriate reviewers.

Quality management and compliance

Quality processes depend on controlled documents, consistent reviews and complete audit trails. Automation routes procedures, work instructions and non-conformance reports through defined approval workflows, while ensuring only current versions remain available. It’s particularly helpful to manufacturing and organisations working to ISO 9001 standards.

See our guide to quality management solutions.

Records retention

Retention policies are highly suited to automation because they rely on defined rules. Applying retention schedules when documents are filed helps organisations meet legal obligations, reduce manual administration and avoid keeping records longer than necessary.

Industrial operations

Many operational processes follow the same pattern: capture a document, extract key information, route it to the right people and record the outcome. This approach is widely used for claims handling, delivery confirmations, site paperwork and maintenance records, particularly across multi-site organisations where consistency is essential.

My rule of thumb is simple: if the first step in your automated process is someone opening an email attachment and typing what they see, the process isn't automated yet. Start by making the information machine-readable, and everything that follows becomes much easier to automate.

Deciding what to automate first

Most companies that set out to automate business processes have more candidates than capacity. The most successful projects begin by evaluating suitable processes against seven key criteria.

Volume

How often does the process run? Higher-volume processes usually deliver the greatest return on automation.

Repeatability

Does it follow the same steps every time? The more consistent the process, the easier it is to automate.

Rule definition

Can the decision points be expressed as clear business rules? If different people complete the same task differently, standardise the process before automating it.

Exception rate

How often does the process fall outside the standard workflow? Frequent exceptions usually mean more human judgement is required.

Document dependancy

Does the process begin with a document? If so, capture, classify and extract the information before automating the workflow.

Cost of error

What happens if something goes wrong? Higher-risk processes need stronger validation and oversight.

Ownership

Who performs the work today, and who resolves exceptions? Automation still requires clear ownership.

Process automation and AI

AI extends process automation by making it possible to work with information that isn't already structured. Traditional automation relies on fixed rules and predictable inputs, while AI can classify documents, extract information from varying layouts, including unstructured text, and interpret context.

AI process automation extends rule-based automation rather than replacing it. Business rules determine what happens next, while AI interprets the information the process starts with. This combination is what's meant by intelligent process automation (IPA).

AI delivers the greatest value in document-driven processes by:

Classifying documents so they enter the correct workflow.
Extracting key information from documents with different layouts and formats.
Supporting exception handling by recommending coding, matches or approvers where fixed rules aren't enough.

AI can recommend actions, but approval authority and accountability should remain with people. Low-confidence results can be routed for manual review instead of being processed automatically.

Using AI doesn't change your governance responsibilities. Under UK GDPR and the Data Protection Act 2018, consider whether any automated decision has legal or similarly significant effects, where documents and personal data are processed, and how long they're retained.

Process automation in action: UK customer stories

Healthcare

Carebase

Carebase, which operates 15 retirement and nursing homes across the UK, relied on a paper-based recruitment checklist that made it difficult to track onboarding progress. DocuWare Cloud digitised the process, automatically issuing documents and following up with recruits and HR where action was needed. The organisation also automated quality reporting, generating weekly reports from daily records without manual compilation, while meeting growing documentation requirements without increasing administrative headcount.

DocuWare_CaseStudy_HubHeader_ChichesterCollege_163

Education

Chichester College Group

Chichester College Group replaced paper personnel files and filing cabinets with DocuWare Cloud, giving HR teams across multiple campuses secure, on-demand access to employee records. Staff continued to access documents remotely during lockdown, while maintaining traceability and compliance with GDPR.

Transportation and logistics

Contract Vehicles Limited (CVL)

As CVL expanded its fleet management business, the volume of supplier invoices and operational documents grew rapidly. DocuWare digitised accounts payable, technical records and customer documentation, automatically routing invoices for approval and indexing documents for fast retrieval. The result was faster processing, greater transparency and improved customer service, without adding administrative overhead.

Map the process

Document the process as it operates today, including workarounds and manual steps. Identify the trigger, decision points, owners and outcome. Mapping the process often reveals unnecessary steps that can be removed before automation begins.

Standardise the inputs

Give the process a single point of intake and ensure documents are captured and indexed consistently. The quality of the information entering the process has a direct impact on everything that follows.

Automate the repeatable work

Start with rules-based activities such as routing, validation and reminders, where automation delivers immediate benefits. Leave exceptions under manual control initially, then review recurring patterns to identify opportunities for further automation.

Keep people in control

Decide which decisions require human judgement and document the reasons why. Approval authority, exception handling and regulatory decisions should remain with named individuals, supported by a clear audit trail.

Measure and improve

Record key metrics before and after implementation, including cycle time, exception rate, first-pass rate and document retrieval time. Measuring the impact of automation makes it easier to prioritise the next process, and demonstrate where automation is contributing to a wider digital transformation programme.

Successful automation projects typically combine two complementary technologies. Intelligent document processing (IDP) captures, classifies and extracts the information needed to begin the process, while workflow automation applies the rules that route work, assign tasks and manage approvals. Together, they automate document-driven processes from end to end. DocuWare combines both capabilities through Intelligent Indexing and Workflow Manager, supporting document capture, workflow design and process automation within a single platform.

Frequently asked questions about process automation

What is process automation?

Process automation is the use of software to carry out the steps of a business process according to defined rules, without a person performing each step. It covers data entry, validation, routing, approvals, notifications, system updates and record retention, across finance, HR, contracts, quality and operations.

What are the types of process automation?

The types of process automation are business process automation (BPA), robotic process automation (RPA), workflow automation, intelligent document processing (IDP) and intelligent process automation (IPA), sometimes extended to hyperautomation. They differ mainly in what they assume about your data: RPA needs structured fields, workflow automation needs metadata, and IDP creates structure from documents.

What is the difference between process automation and workflow automation?

Process automation and workflow automation differ in scope. Workflow automation moves a task or document between people and stages according to routing rules. Process automation is the wider category, covering execution of the whole process, including capture, validation, system updates and retention as well as routing.

What is the difference between BPA and RPA?

BPA and RPA differ in what they act on. Business process automation redesigns an end-to-end process, so it runs through defined rules and system integrations. Robotic process automation leaves the process as it is and replicates the keyboard and screen actions a person would perform inside existing applications, which suits systems offering no integration.

What is intelligent process automation?

Intelligent process automation, or IPA, combines rule-based automation with AI and machine learning so a process can handle inputs and cases that vary. It automates tasks within a larger workflow, adding document classification, data extraction and exception handling to steps that fixed rules alone cannot complete.

What is the difference between automation and hyperautomation?

Automation and hyperautomation differ in breadth. Automation applies a technology to one process or task. Hyperautomation combines several, including RPA, AI, machine learning, natural language processing and process mining, across multiple connected processes, covering operations end to end instead of one process at a time.

Which business processes should be automated first?

The business processes to automate first are those with high volume, stable rules, few exceptions and a document at the start. Invoice approval, employee onboarding, contract renewals and records retention are the usual candidates. Processes with low volume, high judgement or no agreed rules should wait.

We have budget for AI. Where should we start?

Start with a high-volume, document-driven process such as invoice approval. It delivers measurable results quickly, exercises document capture, extraction, routing and approval together, and reveals early whether the real constraint is the process or the information it starts with. Establishing that foundation usually delivers greater value than applying AI to more complex processes from the outset.

Why do automation projects fail?

Automation projects most often fail because the information entering the process isn't machine-readable or the process itself hasn't been clearly defined. Software can't apply rules that don't exist or automate information it can't interpret. High exception rates and unclear ownership of manual reviews are also common reasons projects fail to deliver the expected results.

Can you automate a process that still runs on paper?

Yes, but only after the documents have been digitised and converted into structured information. Scanning creates a digital image; automation needs data. OCR, classification and extraction turn paper documents into information that workflows can read and act on, after which the same automation rules apply as they would to any other digital process.

What are examples of process automation in finance, HR and contracts?

Process automation examples include invoice capture, matching and approval routing in finance; document issue, collection and chasing during employee onboarding; renewal and review reminders in contract management; controlled document approval in quality management; and retention rules applied automatically to stored records.

How does AI change process automation?

AI extends process automation to documents and information that aren't already structured. Instead of relying on fixed layouts, AI can classify documents, extract information from different formats and support exception handling. Approval authority and accountability, however, remain with people.

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Process Automation at a Glance

Process automation: key takeaways

What is process automation?

Types of process automation

Process automation, workflow management and BPM

Why automation projects stall: the document bottleneck

Digitise

Structure

Route

Automate

Apply AI

Start with the input, not the workflow

Where process automation is used

Finance and invoice approval

HR and onboarding

Contracts and legal review

Quality management and compliance

Records retention

Industrial operations

Deciding what to automate first

Volume

Repeatability

Rule definition

Exception rate

Document dependancy

Cost of error

Ownership

Process automation and AI

Process automation in action: UK customer stories

Carebase

Chichester College Group

Contract Vehicles Limited (CVL)

How UK organisations get started with process automation

Map the process

Standardise the inputs

Automate the repeatable work

Keep people in control

Measure and improve

Ready to automate your document-driven processes?

Frequently asked questions about process automation

What is process automation?

What are the types of process automation?

What is the difference between process automation and workflow automation?

What is the difference between BPA and RPA?

What is intelligent process automation?

What is the difference between automation and hyperautomation?

Which business processes should be automated first?

We have budget for AI. Where should we start?

Why do automation projects fail?

Can you automate a process that still runs on paper?

What are examples of process automation in finance, HR and contracts?

How does AI change process automation?

Our latest articles on document management

Beyond Features: The Real Value of Modern UI in Business

Effortless Workdays: How Simpler Tools Accelerate Business Progress

Touchless Invoicing: Why It's Not What You Think (and How to Improve It)

Invoice Validation: A Step-by-Step Guide to Fewer Errors and Faster Processing

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