Travel back-office outsourcing: what to hand over first, and what to keep
Which travel back-office work to outsource first, what to keep in-house, and how to start without losing control of quality or money.
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Travel back-office outsourcing: what to hand over first, and what to keep
Which travel back-office work to outsource first, what to keep in-house, and how to start without losing control of quality or money.
A little clarity goes a long way
Notes for the work ahead.
11 in-depth guides
11 articles
Hand over the process. Not the problems.
A practical business process handover checklist for clear ownership, useful documentation and a first batch you can trust.
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Data entry quality starts before the first keystroke
Build data quality checks around the way records will be used, with clear field rules, exception handling and a practical review routine.
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A customer support playbook that leaves room to listen
Create a support playbook with clear answers, sensible escalation rules and enough judgement to handle customers as people.
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What to test in the first 30 days of an operations pilot
A four-week operations pilot plan that tests quality, ownership and recovery before you commit to a larger handover.
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Write an SOP someone can actually work from
Turn process knowledge into short, usable standard operating procedures with clear decisions, examples and a reliable update routine.
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Your first operations job: what to practise before day one
A practical preparation guide for first-time operations candidates, covering computer habits, communication, accuracy and asking for help.
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Evaluate a rural operations team on the work, not the postcode
A buyer’s guide to assessing a rural operations team through process fit, training, supervision, infrastructure and delivery evidence.
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Measure the work, not just the activity
Choose operational metrics that reveal usable output, waiting time, rework and ownership without turning reporting into another full-time job.
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When records disagree, build a better exception queue
A practical approach to reconciliation and exception management: preserve evidence, define matching rules and make unresolved items visible.
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Let AI assist the work. Keep a person accountable.
Design AI-assisted operations with clear boundaries, source checks, meaningful human review and a safe route back to manual work.
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