3 common automation mistakes - and how to avoid them

As automation initiatives proliferate, so does the complexity of designing, developing and delivering successful automation projects. 

Gartner report that 40% of financial services firms currently have four or more concurrent hyperautomation initiatives to manage and operate, and 16% are running 15 or more.

By 2024, this number could reach 70 concurrent projects; and with expansion comes increased risk.

Automating successfully in complex IT environments can be challenging; here are some of the common mistakes to avoid to get you set up for automation success.

1) Believing that the business can automate without IT teams.

Business teams like low-code tools because they remove some of the perceived barriers to working with IT, such as waiting for resources and educating IT on the desired outcomes.

The reality is not so simple.

Integrations, complexity and dependencies are all challenges that must be overcome with IT teams' input, especially when upgrades or replacements can break the automation.

For the best outcome, the business and IT should work together to create a well-governed process where IT can provide guidance and support to the business.

2) Treating automation as human task replication.

Automation doesn't work like a human brain does - whilst automations are rules-driven and can process much more quickly they aren't able to take nuance into account.

To avoid delays and failures in production, evaluate and redesign your process before you commit to a particular tool or path.

This means you can automate through complexity and deliver an end-result with better outcomes.

3) Not monitoring in post-production.

You've tested your automations throughout the implementation phase, but in changeable complex environments it's essential to extend monitoring and testing to automations in production too.

Application updates and process changes can break your automations, leading to the perception that the project has failed - and creating customer experience, financial and regulatory issues.

Dynamic monitoring and observability can improve Day-2 operations, and ensure your automations (and the services they power) are resilient and deliver value.

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AMP integrates with your best-in-class tools to form a single control plane, driving resilience by automatically monitoring, responding and restoring critical services throughout the entirety of your hybrid IT estate. Learn more about dynamic monitoring and observability, and AMP's other use cases.

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