Maintain RPA bots by monitoring every run, alerting a named owner on failure, reviewing exceptions weekly, testing bots after any change to the applications they use, rotating credentials safely, keeping documentation and version history current, and scheduling periodic reviews of whether the process still matches the bot. Treat bots as small operational systems, not one-time projects.
- Bots fail mostly because the world around them changes, not because the code is bad.
- Monitoring, alerts and a named owner are the foundation of reliable automation.
- Test bots whenever the underlying applications update.
- Review the process itself regularly; a bot can be perfect for a process that no longer exists.
Why do RPA bots stop working?
A bot copies the behaviour of a person at a screen, so anything that alters the screen can disturb it. A software update moves a button, a portal adds a security step, a password expires or a new pop-up appears. The bot itself has not changed, but its environment has.
Data changes can break a bot too. A supplier starts sending invoices in a new format, a field that was always filled is now blank, or a file arrives late. Without maintenance, small shifts like these accumulate until a bot that once ran smoothly begins failing every other day.
What should you monitor?
At minimum, track whether each scheduled run started, finished and produced the expected outcome. A bot that completes without error but processes zero items is also a failure, so measure outputs as well as status. Alerts should reach a named person, not a shared inbox that nobody reads.
Beyond failures, watch trends. A rising exception count or a run time that slowly lengthens is an early warning. Reviewing a short weekly dashboard catches these patterns before they turn into missed deadlines for the business.
- Run started, finished and duration
- Items processed versus items expected
- Number and type of exceptions raised
- Failures, with the step where they occurred
- Credential expiry dates and licence status
Who should own each bot?
Every bot needs two owners: a business owner who cares about the outcome and decides what the bot should do, and a technical owner who keeps it running. If either role is vague, issues linger. Write both names in the bot's documentation along with a backup for holidays.
Define response expectations too. For month-end bots, a failure may need a same-day fix; for a weekly report, next-day is fine. Agreeing this in advance avoids debates during a crisis, and it lets you decide whether a vendor support arrangement makes sense.
How do you handle changes in applications?
Ask IT and vendors to give notice of upcoming updates to any system a bot uses, and keep a test environment where possible. After an update, run the bot against test data before it touches live records. This habit alone prevents many production incidents.
Build bots to be resilient. Prefer stable identifiers over screen coordinates, include sensible waits, and keep each bot focused on one process. Smaller bots are easier to repair, and a failure in one does not take everything else down with it.
What housekeeping keeps bots healthy?
Keep documentation current: what the bot does, its inputs, outputs, accounts used and exception rules. Store versions of the bot so that a faulty change can be rolled back. Keep credentials in a vault and rotate them on a schedule, updating the bot as part of the routine.
Archive logs sensibly, because they are useful for audits and for diagnosing repeated problems, but they should not pile up and slow the server. A tidy environment is a more predictable one.
- Current process documentation and exception rules
- Version history with a rollback path
- Vaulted credentials rotated on a schedule
- Log retention rules that match audit needs
How often should you review whether a bot is still right?
Review each bot at least quarterly with its business owner. Ask whether the process has changed, whether volumes have moved and whether the bot's saving still justifies its upkeep. Some bots deserve upgrades, some should be retired, and some can be replaced by a direct integration.
If you prefer not to carry this load internally, A Plus Solution can run monitoring and maintenance for RPA as part of ongoing support, so failures are caught and fixed before the business notices.
Frequently asked questions
How much time does bot maintenance take?
It varies with the number of bots and how often their systems change. Plan a regular recurring allowance rather than assuming bots run untouched.
Can bots fix themselves?
Some handle small variations through retries, but significant changes need a person to adjust the bot. Self-healing features reduce, not remove, maintenance.
What is the most common cause of bot failure?
Changes in the applications or portals the bot uses, followed by expired credentials and unexpected data.
Should maintenance be done in-house or outsourced?
Either works. Choose based on whether you have staff with the skills and time, and keep a named business owner regardless.
How do we know a bot is silently failing?
Track output counts as well as run status. A bot that finishes with nothing processed should trigger an alert.
Need help with this? See our RPA & Process Automation service or talk to Yash Parikh.