AI & Automation
Business Process Automation
The boring wins first.
Business process automation is software carrying out a sequence of steps on its own, triggered by a form, an email, a file or a schedule, so nobody has to move the work along by hand. Most of it involves no AI at all. happier IT builds and runs these workflows for Canadian organizations of roughly 15 to 200 people, starting with whichever repetitive job is costing the most hours.
Who it's for
The best candidates are unglamorous and everybody knows them.
Ask any team what they would stop doing if they could. The answer is nearly always the same four shapes.
Data copied between two systems by a person. An order in one place, an invoice in another, a spreadsheet in the middle. It is reliable work until somebody is on holiday, and it is the clearest automation win there is.
An approval that lives in an inbox. Purchase requests, time off, a discount above a threshold. The delay is almost never the decision. It is the chasing, and a workflow removes the chasing entirely.
A report somebody rebuilds every Monday. Same sources, same shape, same forty minutes. Scheduled and delivered automatically, it costs nothing to run and it is never late.
Paper or PDF arriving at the front of a digital process. Timesheets, delivery notes, supplier invoices, site forms. This is where AI genuinely earns a place, reading a document and pulling structured fields out of it, but the automation around it is ordinary.
A process problem wearing an automation costume
If the same task is done three different ways depending on who picks it up, automating it makes the inconsistency faster and harder to see.
Standardising first is usually a fortnight of conversations and no software. We will say when that is the real job, because building on top of it is how automations end up quietly abandoned.
What's included
What we build, and what we build it with.
Existing platforms wherever they will do the job. Bespoke code only where nothing off the shelf fits, because a bought thing has a support line.
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Microsoft Power Automate, where you already pay for it
Microsoft’s own workflow automation tool. If your work lives in Microsoft 365, SharePoint, Teams, Outlook, Forms, Dataverse, this is usually the shortest route, and much of it is included in plans you already hold.
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Orchestration platforms of the n8n and Zapier class
Tools that connect services together with triggers and steps. Zapier is hosted and bills in tasks, one task per successful action a workflow completes, with polling for new data not counted. n8n is fair-code licensed and can be self-hosted or run in its cloud, which matters when you want the workflow inside your own environment.
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Document and form intake
Replacing a paper or PDF step at the front of a process: a form that writes straight into the system, or a document read automatically with the fields pulled out and checked. This is the point where AI is genuinely worth using.
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Approval routing with an audit trail
Requests routed by amount, department or type; reminders that chase on their own; an escalation when nobody responds; and a record of who approved what and when, which is the part your auditor cares about.
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Scheduled reporting and reconciliation
Reports built and delivered on a schedule, and the quieter version: a job that compares two systems overnight and only speaks up when they disagree. Exception reporting saves more attention than dashboards do.
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Onboarding and offboarding runs
A new starter’s accounts, licences, group memberships and equipment triggered from one request, and a leaver’s access removed the same way. This one pays for itself in reduced risk before you count the hours.
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Error handling that tells a human
Every workflow we build has a defined failure path: what it does when the far end is down, how many times it retries, what it never retries, and who gets told. Silent failure is the expensive kind.
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An owner, a runbook and monitoring
A named owner, one page explaining what it does and how to turn it off, and monitoring so that a stopped workflow is noticed by us rather than by a customer.
How it works
Map it, build one, then widen.
The failure mode is a six-month automation programme. The alternative is one workflow live in three weeks.
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Map the process as it really runs
Including the exceptions, because the exception path is where automation projects die. We write down the steps, the systems, the volumes, and how often the unusual case happens. Frequently enough to matter, and it has to be handled.
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Build the first one small
One process, one team, running alongside the manual method for a fortnight so mistakes are caught in daylight. An agreed measure, hours saved, cycle time, errors, set before we start, so the result is not a matter of opinion.
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Hand it over properly, then take the next one
Documentation, an owner, monitoring, and a short session with the team who now depend on it. Then the next candidate from the ranked list. Widening after something works is much easier than defending a programme that has not yet produced anything.
What it costs
Quoted per workflow, run inside managed IT.
A workflow is a small project with a beginning and an end. Keeping it separately priced is what lets you see whether it was worth it.
A simple approval routing or a scheduled report is a small piece of work. Anything that touches three systems and a document is not.
Platform licences are separate and usually small. Much of Power Automate is included in Microsoft 365 plans you may already hold; Zapier bills by tasks consumed; n8n can be self-hosted. We will tell you which of the three is cheapest for your case, including when the answer is the one we make no money on.
Running it, monitoring, updates when a vendor changes an API, the call when it stops, sits inside managed IT
How to work out whether it is worth it
Hours per week, times the loaded cost of the person doing them, times fifty. Compare that to the build plus a year of running. If it does not clear comfortably, it is not the right first automation, however annoying the task is.
Errors avoided and delays removed are real too, just harder to defend, so put the hours first.
Why us for this
The unglamorous ones are the ones that last.
The automations still running three years later are almost never the impressive ones. They are an approval that routes itself, an overnight reconciliation that only emails when two systems disagree, and an onboarding run that means a new starter has everything on their first morning.
What kills the impressive ones is ownership. A clever flow built by one enthusiastic person who then changes role is the single most common thing we are asked to untangle. Every automation happier IT builds gets a named owner, a runbook, and monitoring, and we would rather build fewer things properly.
Automations we have built include connections into software APIs that pull real-time information from several locations into one view, candidate processing for a human resources team, and automated skills coaching for professional development.
Go deeper
- AI integration services When the systems have to be connected first.
- AI agents and assistants When the steps cannot be written out in advance.
- Safe automation for manufacturers A worked example.
Questions
What people ask before they sign anything.
What is business process automation?
It is software carrying out a defined sequence of steps on its own, triggered by an event, a form submitted, a file arriving, a date reached, instead of a person moving the work from one system to the next. The steps are written out in advance and it does the same thing every time. That predictability is the whole point, and it is why most business process automation involves no AI.
What processes should we automate first?
The one that is high volume, consistent, and currently done by a person copying between two systems. Frequency and consistency matter far more than how annoying the task is. A painful job done twice a month is a poor candidate; a dull job done forty times a week is an excellent one. Anything involving a legal or safety judgement should keep a person in it regardless of volume.
What is the difference between automation and AI?
Automation follows steps you defined; AI produces an answer you did not define in advance. Reading a supplier’s PDF invoice and working out which field is the total is AI, because the layout differs every time. Most useful systems are mostly automation with one small AI step in the middle.
Should we use Power Automate, Zapier or n8n?
Power Automate if your work happens inside Microsoft 365, because you may already be paying for it. Zapier if you need to connect many hosted services quickly and are comfortable with usage-based billing in tasks. n8n if you want the workflow running inside your own environment, it is fair-code licensed and can be self-hosted, which matters when the data should not leave. We pick per workflow rather than standardising on one, and we will tell you when the answer is the option we do not resell.
What happens when an automation breaks?
It should tell somebody, immediately, and that has to be designed in rather than hoped for. Every workflow we build has a defined failure path: what it retries, what it never retries, what it does when the far end is unavailable, and who gets alerted. Where we run your managed IT, that alert comes to us and the workflow is monitored like any other system.
What does business process automation cost?
A single approval route or scheduled report is a small job; something touching three systems and a document is a project. Platform licensing is separate and often already covered by your Microsoft 365 plans. The test worth applying is hours saved per week times the loaded cost of the person doing them, against build plus a year of running.
When is automation the wrong answer?
When the process is not stable, when the volume is low, or when the step genuinely needs judgement. Automating an inconsistent process makes the inconsistency faster and harder to spot. Automating something done twice a month rarely repays the build. And a decision with a safety, legal or employment consequence should keep a person in it even when a machine could technically do it, that is a governance position, not a technical limit. See AI governance and policy.
Related
Where to go next.
Related services
Worth reading
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