Automation Services

Workflow automation for the processes eating your team's week

Nearly every business has three or four processes that consume a day a week and nobody defends. Those are the ones worth automating, and the mapping matters more than the tool you build them in.

What is workflow automation?

Workflow Automation is mapping a repetitive business process, then rebuilding it so software performs the steps that need no human judgement and people handle the steps that do. It suits Australian organisations losing hours each week to rekeying data between systems, chasing approvals, or copying information from email into a spreadsheet.

Get a fixed written quote
Typical timeline
4 to 10 weeks
What drives cost
Depends on how many processes are in scope, how many systems must connect, whether those systems have modern APIs.
Best for
High volume, rules based admin that currently runs on copy and paste
You own
The workflow definitions, the credentials and the documentation
Built with
Process mapping, integration platforms or custom code, monitoring and alerting
The changeManual processData rekeyed between systemsSteps missed when busyProgress hidden in inboxesBacklog grows with volumeAutomated processRecords move on their ownSame steps run every timeStatus visible to everyoneVolume handled without hiring
Judgement stays with your people, while software takes the copying and chasing.

Your handover

Map the process before you choose anything

The first session is not about software. We sit with the people who currently do the work and follow one real job end-to-end, including the parts nobody documented. Who touches it, in what order, what they check, what they do when the usual path fails, and where they wait. That last one is important, because in most processes the elapsed time is dominated by waiting rather than working. A quote that takes six days to reach a customer often involves forty minutes of effort and five and a half days sitting in someone's inbox.

  1. 01Current state process map with timings and volumes
  2. 02Future state design with the automation boundary marked
  3. 03A prioritised backlog scored by effort against benefit
  4. 04Built workflows with logging and alerting from day one
  5. 05Retry and safe rerun logic on every integration
  6. 06Parallel run comparison results
  • Named owner and escalation path per workflow
  • Written manual fallback procedure
  • Handover documentation and recorded walkthrough
Mapping also surfaces steps that exist for reasons that expired

Mapping also surfaces steps that exist for reasons that expired. A report is compiled every Monday because a manager asked for it in 2019 and nobody has read it since. A field is filled in twice because two systems disagreed once. Automating those is worse than leaving them alone, because you make a pointless step permanent and cheap enough that nobody questions it again.

So we finish mapping with three lists: steps to delete, steps to automate, and steps that should stay human. Deleting is free and instant. Automating is the project. Keeping something human is a legitimate decision, and we write down why so it does not get relitigated every six months.

Running the automation in parallel with the manual process for a period is not wasted effort.

Monitoring, error handling and who gets the alert

An automation that fails loudly is a minor inconvenience. An automation that fails silently is a serious problem, because the work stops happening and everyone assumes it is still happening. Six weeks later somebody notices that no supplier has been paid on the new terms and the reconstruction is painful.

Failures raise an alert to a channel a human actually reads, not an inbox nobody monitors

Every workflow we build logs each run with enough context to answer what came in, what went out and what decision was made. Failures raise an alert to a channel a human actually reads, not an inbox nobody monitors. Transient errors, which is most of them, retry with a sensible backoff rather than giving up on the first timeout, and repeated failures stop the workflow rather than hammering an API until an account gets rate limited.

We also design for the awkward case where a run half succeeded. If a record was created in one system before the second call failed, retrying blindly produces duplicates. Workflows are built so a rerun is safe, using a stable reference on each item so a second attempt updates rather than duplicates. That single decision prevents most of the cleanup work we get called in to do on other people's automations.

  • Run logs retained long enough to investigate a problem reported a month later
  • Alerts to a monitored channel, with the failing record identified
  • Automatic retry with backoff for timeouts and rate limits
  • Reruns designed to be safe rather than duplicating records
  • A named owner for each workflow, documented at handover
  • A written fallback describing how to run the process manually if needed

How the engagement runs

How a workflow automation project runs

We build in small, independently useful pieces rather than modelling the entire operation and switching it on at once. The first workflow goes live in weeks, not months, and every later one benefits from what the first taught us about your data and your exceptions.

  1. 01DiscoveryShadow the process, time each step, count volume and record every exception people mention
  2. 02DesignThe future state map, the automation boundary and the escalation path when something fails
  3. 03Layer selectionWhether the work belongs in an integration platform, in the systems you already licence, or in written code
  4. 04Build the first workflowThe highest volume, lowest risk process, with logging from the start
  5. 05Parallel runAutomation and manual process side by side, output compared until the difference is explained
  6. 06Cutover and monitorManual step retired, alerting configured, ownership assigned to a named person
  7. 07ExtendThe next processes in priority order, reusing the connections and patterns already established
DiscoverDesignBuildTestHandover
Two decisions on your side that keep the project moving

Running the automation in parallel with the manual process for a period is not wasted effort. It is how you find out that six percent of your purchase orders have a supplier name spelled three different ways, which is the kind of detail that never appears in a requirements document and always appears in production.

Choose the right level

Which parts of a process are worth automating

The candidates are the steps that are repetitive, rules based, high volume and low consequence when they go right. The steps to keep human are the ones involving judgement, negotiation, exceptions or an unhappy customer. A useful filter is to ask what happens if the step is done wrong two hundred times before anyone notices, because that is exactly what automation makes possible.

Type of step

01

Copying data between two systems

Automate, assist or leave alone

Automate fully

Why

No judgement involved and the error rate for humans is higher than for code

02

Generating documents from a record

Automate, assist or leave alone

Automate fully

Why

Consistent output, and the template becomes the single place a change is made

03

Approving spend above a threshold

Automate, assist or leave alone

Assist

Why

Route it, remind about it and record it, but a person decides

04

Triaging an incoming complaint

Automate, assist or leave alone

Assist

Why

Classification and routing can be automated, the response should not be

05

Pricing a non standard job

Automate, assist or leave alone

Leave alone

Why

The exceptions are the job, and encoding them costs more than it saves

06

A once yearly reconciliation

Automate, assist or leave alone

Leave alone

Why

Too infrequent to stay reliable, and it will break silently between runs

How we work this out during scoping

We also weigh frequency against effort honestly. A task that takes fifteen minutes and happens twice a year is a bad automation candidate even if it is technically trivial, because the workflow will rot between runs and someone will spend an hour fixing it before each use. A task that takes four minutes and happens sixty times a day is worth real engineering effort.

Choosing the layer: platform, self-hosted tool or written code

There is no universally correct tool, and agencies that only sell one tend to discover that every problem suits it. The decision turns on volume, the sensitivity of the data, whether you already pay for a platform, and who will maintain the thing in two years.

More on choosing the layer: platform, self-hosted tool or written code

If your organisation lives in Microsoft 365, a great deal of value sits in tools you are already licensed for, which is the argument for Power Automate. If you want to control where data sits and avoid usage based billing on high volume workflows, a self-hosted option like n8n is worth pricing. If the need is a handful of connections between mainstream software as a service products and it has to work this week, Zapier is honest value and we will say so rather than proposing a project.

And sometimes the right answer is none of them. Once logic gets genuinely complex, once you need transactions across systems, or once volume is high enough that per run pricing becomes the dominant cost, a small piece of purpose built software is cheaper and far easier to reason about. That conversation belongs with custom software development or API development, and we would rather have it early than build a sprawling visual workflow nobody can debug.

When workflow automation is the wrong answer

Automation is the wrong answer when the process itself is broken. Encoding a bad process in software makes it faster, more consistent and much harder to change, and you have now paid to preserve it. If the mapping session reveals that three teams disagree about what the process even is, the first piece of work is agreeing on it, not building anything.

Finally, if the underlying systems are the problem, integration is a patch

It is also wrong when the volume does not justify it. Be sceptical of the arithmetic that says an automation saves five hours a week and therefore pays for itself in a month. Saved minutes distributed thinly across six people rarely convert into anything you can measure. Real savings come from removing a whole role's worth of repetitive work, eliminating an error class that costs money, or compressing an elapsed time that customers feel.

Finally, if the underlying systems are the problem, integration is a patch. Automating the transfer of data between two tools that should be one system buys you time, and there is nothing wrong with buying time deliberately. But if you find yourself building fifteen workflows to keep a spreadsheet, an inbox and an ageing database in agreement, the honest recommendation is usually a proper CRM or ERP conversation instead. Manufacturers and distributors hit this point often, and we cover the pattern in our manufacturing work.

How we scope it

Four ways to scope your Workflow Automation project

We do not publish package prices, because the same brief can be a short build or a long one. These are the shapes the work usually takes. Tell us which one sounds like you and you will get a fixed written quote that spells out exactly what it covers.

First workflows

The two or three processes costing the most time now

Fixed written quote, agreed before work starts

  • Current state process map with timings and volumes
  • Future state design with the automation boundary marked
  • A prioritised backlog scored by effort against benefit
Request a quote
Most common

Connected stack

The systems you already pay for, talking to each other

Fixed written quote, agreed before work starts

  • Everything in First workflows
  • Built workflows with logging and alerting from day one
  • Retry and safe rerun logic on every integration
  • Parallel run comparison results
Request a quote

Operations platform

Operations running on automation you can see and audit

Fixed written quote, agreed before work starts

  • Everything in Connected stack
  • Named owner and escalation path per workflow
  • Written manual fallback procedure
  • Handover documentation and recorded walkthrough
Request a quote

Automation care

Watching, fixing and extending as the processes change

Rolling monthly, quoted in writing

  • Every workflow monitored, with alerts that reach a person
  • Fixes when an upstream system changes its behaviour
  • New workflows added from your backlog each month
  • Rolling, cancel with 30 days notice
Request a quote

These are shapes, not menus. Most quotes end up somewhere between two of them, and we will say so when the honest answer is the smallest one. Describe the problem and we will tell you which it is.

Questions buyers usually ask

Frequently asked questions

Scope and timeline

How long does a workflow automation project take?

Plan on 4 to 10 weeks for a first engagement covering two or three processes. Discovery and mapping take one to two weeks, the first workflow is usually live within a month, and the rest follow as the patterns are reused. Timelines stretch when a system has no usable API and access has to be negotiated with a vendor, so we check that during discovery.

Can you automate a process that involves a system with no API?

Sometimes, and with caution. Options include scheduled file exports, database level integration, email parsing or robotic process automation that drives the interface. All are more fragile than a real API because a vendor's screen change can break them. We use these where the value clearly justifies the maintenance risk, and we say so in writing rather than presenting it as equivalent to a proper integration.

Ownership and handover

What do we own when the project ends?

The workflow definitions, exported and stored in a repository you control, plus all credentials, connection settings and documentation. Accounts on any platform used are in your business name. If we are hosting anything on your behalf, the infrastructure sits in your cloud account. Another developer can pick up the work without contacting us, which is the test we design for.

Who maintains the automations after handover?

Whoever you choose, and we set it up so that is a real choice. Every workflow has a named owner on your side and documentation written for someone who was not in the project. Many clients keep a small monthly retainer for changes and monitoring, since business processes change and an unmaintained automation drifts out of alignment with reality within a year.

Detail and edge cases

What does workflow automation cost to build?

It depends on how many processes are in scope, how many systems must connect, whether those systems have modern APIs, and how many exceptions the process contains. Exceptions drive cost more than anything else, because each one is a branch that has to be designed and tested. We quote in writing after discovery, and platform subscriptions are paid by you directly.

Will automation mean cutting staff?

Usually it means the same staff stop doing the part of the job they dislike. In most projects we scope, the work being automated is overflow that is already being done badly or late, not a full time role. We will tell you plainly what capacity a change frees up so you can plan honestly, rather than presenting a saving that does not appear in a roster.

Which process is costing you a day a week?

Describe it in a paragraph, tell us which systems are involved, and we will come back within one business day with an approach and a fixed written quote.