Which processes should we automate first?

High-volume, rule-based tasks that cause delays or errors — such as data entry, approvals and status updates — usually give the fastest return.

Will automation replace our staff?

In most projects it removes repetitive work so people can spend time on customers, exceptions and decisions.

Can you automate processes involving PDFs and emails?

Yes. AI document extraction can read invoices, forms and emails and pass structured data to your systems, with human review for low-confidence cases.

Do you work with Microsoft Power Automate?

Yes, alongside custom code when processes outgrow low-code tools.

Business Process Automation Services

What business process automation is

Business process automation (BPA) uses software to run repeatable workflows with little or no manual effort: moving data between systems, routing approvals, generating documents, sending notifications and updating records. Done well, it removes errors, speeds up turnaround and gives managers real-time visibility of where work is stuck.

Processes we automate most often

Department	Process	Typical result
Finance	Invoice capture, approval and posting to accounting	Days to hours, fewer errors
Sales	Lead routing, quotes, contracts and handover to operations	Faster response, no lost leads
Operations	Order processing, inventory updates, supplier orders	Less manual entry
HR	Onboarding, leave requests, offboarding checklists	Consistent, auditable process
Customer service	Ticket triage, status updates, refunds	Faster resolution

Choosing the right automation tool

Approach	Examples	Best for
No-code / iPaaS	Zapier, Make, Power Automate	Simple flows owned by business teams
Workflow platforms	Camunda, Temporal, n8n	Long-running, multi-step processes
Custom automation	Python, Node.js or .NET services and APIs	High volume, complex rules, strict security
AI-assisted	LLM document extraction and AI agents	Unstructured inputs such as emails and PDFs

We often combine them: low-code for simple flows, custom code where reliability and scale matter, and AI agents for unstructured work.

Our approach

Map1–2 weeks

Walk through the process with the people who do it; measure time, volume and error rates.
Prioritise1 week

Rank automation opportunities by hours saved, risk reduced and effort.
Build & test2–8 weeks per process

Automations built with logging, alerts and exception queues for humans.
MeasureOngoing

Dashboards showing volume, time saved and exceptions.

Measuring the return on automation

Automation decisions should be backed by numbers. During process mapping we record how often a task happens, how long it takes, how often it goes wrong and what errors cost. A process that runs 400 times a month and takes ten minutes each time consumes more than 65 hours of staff time monthly; if automation removes most of that work and reduces errors, the payback period can be a matter of months.

After launch, dashboards show the real figures: volumes processed automatically, exceptions routed to people, average turnaround time and error rates compared with the baseline. These numbers make it easy to decide which process to automate next and to show stakeholders the value delivered.

Handling the exceptions

No automated process handles every case. Invoices arrive with missing purchase order numbers, customers request unusual refunds and systems go offline. Well-designed automation expects this: it recognises when something does not fit the rules, pauses that item, and sends it to the right person with all the context they need to resolve it quickly. Once resolved, the item continues through the automated flow. Over time, recurring exceptions become new rules — and the share of fully automated cases grows.

Finding the right processes to automate

The best candidates for automation are not always the most visible processes. A simple scoring exercise helps you choose work that will repay the investment quickly and reliably.

Criterion	Strong candidate	Weak candidate
Volume	Happens many times a week	Happens a few times a year
Rules	Clear, documented decisions	Mostly judgement calls
Inputs	Structured data or consistent documents	Unpredictable formats
Systems	Applications with APIs	Systems only usable through screens
Pain	Errors, delays or overtime are common	Works well already

A practical rule of thumb: start with high-volume, rule-based processes that cause visible delays or errors.

Mapping the process before automating it

Automating a messy process makes the mess faster. Before building, we map how the work actually happens — not how the procedure document says it should — with the people who do it.

Shadow the work

Watch real cases end to end, including workarounds and spreadsheets people rely on.
Document the steps

Record inputs, decisions, systems, hand-offs and waiting times.
Simplify first

Remove unnecessary approvals, duplicate data entry and steps that add no value.
Define exceptions

List the cases that need human judgement and how they will be routed.
Agree success measures

Set baselines for time, errors and backlog so improvement can be measured.

Automation building blocks

Workflow and approvals

Requests, routing, approvals and notifications with full audit trails.

System integrations

APIs that move data between CRM, ERP, finance and operations tools automatically.

Document processing

Extracting data from invoices, forms and emails with OCR and AI, with human review for low-confidence fields.

Scheduled jobs

Reports, reconciliations and data checks that run on their own.

AI assistants

Classifying requests, drafting responses and summarising cases for staff to approve.

Dashboards

Live visibility of volumes, bottlenecks and service levels.

Governance and change management

Automation changes how people work, so adoption matters as much as technology. We involve process owners from the start, explain what will change and keep people in control of decisions that need judgement.

A named business owner for each automated process
Clear documentation of rules and exceptions
Access controls and audit logs for every automated action
Monitoring and alerts when automations fail or queues build up
A change process for updating rules as the business evolves
Training and support for staff during the transition

Common automation mistakes

Automating everything at once instead of proving value with one process
Ignoring exceptions, which then pile up in someone’s inbox
Building on screen-scraping when an API exists
Leaving no owner to maintain the automation after launch
Measuring success by bots deployed rather than time and errors saved

Related: low-code development, AI agent development and enterprise integration.

Examples of automated processes

Department	Before automation	After automation
Finance	Invoices typed into accounting software and chased by email	Invoices captured, matched to purchase orders and routed for approval
Sales	Quotes built in spreadsheets and emailed manually	Quotes generated from CRM data with approval rules and e-signature
HR	Onboarding checklists tracked in email	Accounts, equipment and training tasks triggered automatically
Operations	Status updates gathered by phone and spreadsheet	Live dashboards fed by system events and alerts
Customer service	Requests sorted manually from a shared inbox	Requests classified, routed and acknowledged automatically

Illustrative examples; the right design depends on your systems and volumes.

What a first automation project looks like

Most organisations start with one well-chosen process and a short delivery cycle of a few weeks to a few months, depending on integrations. That first project proves the value, builds trust with the people affected and creates reusable components — integrations, approval flows and monitoring — that make the next automation faster and cheaper. From there, a backlog of candidate processes is prioritised by expected time saved and risk reduced.

Questions to ask before automating

Who owns this process today, and who will own the automation?
What happens when the automation fails or meets a case it cannot handle?
Which systems need API access, and who can grant it?
How will we know, in numbers, that the automation is working?

Built to be trusted

Every automated step logged and traceable
Exceptions routed to a person with full context
Retries and alerts when a connected system is down
Access controls and audit trails for compliance
Documentation so your team can maintain simple changes

Connecting many systems at once? See enterprise application development.

This page is part of Enterprise Application Development Services — see the full overview for related services, approach and pricing.