Start with invoice and document intake, shared inbox triage, onboarding checklists, recurring reporting and cross-system data hygiene. They are high volume, rules-heavy and easy to measure.
Choosing the wrong first process is the most common reason automation programmes lose support. The right first candidate is high volume, rules-heavy, low ambiguity, and painful enough that people notice when it disappears.
Invoices, contracts and forms arrive as email attachments and PDFs. Extraction, coding and routing to the right approver is repetitive work with a clear right answer, which makes it an ideal starting point.
A support or operations inbox can be classified, prioritised and drafted against before a person opens it. The person still sends the reply. They just stop starting from a blank page.
New client or new starter checklists usually live in someone's head. Turning them into a triggered sequence removes the missed step that costs a week later on.
If someone exports the same data on the same day each month, that is a scheduled job with a written commentary, not a task.
Duplicate records, stale statuses and mismatched fields quietly degrade every downstream decision. Continuous reconciliation is unglamorous and consistently worth it.
The right first automation is not the biggest opportunity. It is the one with high frequency, low variation and a low cost of failure, because the point of the first build is to prove the pattern and earn the right to attempt harder work.
Score candidates honestly on four axes and take the highest total. Anything scoring low on tolerance for error should wait until the team trusts the approach.
Invoice handling is the process almost every business gets wrong in the same way. Documents arrive by email in inconsistent formats, someone rekeys the values into the finance system, approvals happen in a side conversation, and the audit trail is reconstructed later from memory.
The automated version reads the document, extracts supplier, amount, date and reference, matches it against the purchase order, and routes anything above a threshold to a named approver. Everything under the threshold posts automatically with a log entry. The finance lead reviews exceptions once a day instead of processing everything.
Two errors account for most stalled automation projects. The first is automating a broken process, which produces faster mess. The second is building without a named owner, so the workflow degrades quietly the moment a supplier changes a format.
Both are avoided by the same discipline: map before building, and hand over documentation with the build.
Automation is not a project with an end date. It is a small ongoing maintenance obligation in exchange for a large recurring saving, and the businesses that get lasting value are the ones that accept that trade honestly rather than declaring victory at go-live.
The maintenance itself is light. Someone reviews the exception log weekly for the first month and monthly thereafter. Someone is alerted when a workflow stops running, not only when it errors. And when a supplier changes their invoice template or a system renames a field, someone notices within days rather than at quarter end.
What makes this cheap is documentation written at build time rather than reconstructed later. A one page procedure covering the trigger, the steps, the checkpoints and the failure handling is enough for another person to take the workflow over. Without it, every automation is tied to whoever built it, and the saving evaporates the moment that person moves on.
The compounding argument applies here too. Each process removed frees capacity to tackle the next one, and the second build is always faster than the first because the patterns, the access and the conventions already exist.
Which back office process should we automate first? Usually invoice and document intake, because volumes are high, the rules are clear and the time saved is easy to measure.
Do we need new software to automate back office admin? Rarely. Most builds connect the systems you already run, with AI handling drafting, classification and data extraction.
Who owns the automations that get built? You do. Everything is built in your own accounts and handed over with written procedures.
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