EPISODE 22

Driving Intelligent Automation & Citizen Development

In episode 22 of our Automation Alliance Podcast Series, we discovered how Sidney Madison Prescott has driven and embedded an automation-first mindset at companies like Spotify and BNY Melon.

Here are 6 key insights that Sidney shared with our audience:

1. A definitive plan

Define how you want to execute the creation and scaling of your programme. Be careful not to account for too many deliverables in year one. Focus first on making sure the foundational components of your programme are firmly in place. This includes establishing a governance framework, understanding your resourcing needs, and evaluating whether your infrastructure is ready to support the creation of an intelligent automation tool stack.

2. A compelling transformation story

To make sure you get the requisite resources and funding for your initiative, you must build a compelling case for intelligent automation, and communicate this clearly to your senior leaders. Clearly define your objectives for bringing this technology into the environment.

3. Think about your vendor partnership

Some vendors cater better for companies that are looking to launch a citizen developer programme focused on upskilling business stakeholders. Others support a programme that is more centred around skilled, professional RPA developers. When selecting a technology platform, make sure the vendor’s strengths are a good match for your abilities and goals.

4. Look Ahead

Another thing to consider is the vendor’s product roadmap. Understand how the vendor plans to continue evolving their platform capabilities. Also ask whether their vision aligns with your own. You want to be sure the technology will support your goals – not just now but five years into the future.

5. Start small

Often, organisations struggle to get their automation projects off the ground because they choose a complex, high-ROI project for the first use case or proof of concept. For your first foray into intelligent automation, rather choose a low-risk, low-complexity project – and build skills, confidence and momentum from there.

6. Understand your culture

In some organisations, people are resistant to change. Often, there’s a lot of fear around robotics and AI because there’s concern that people will be displaced, and jobs will be lost. A lot of programmes struggle because employees do not believe in the technology. Through effective people and change management, however, you can gain a deeper understanding of the cultural shifts that need to happen to establish trust in the power of automation.

For more advice on how to set the right strategy for intelligent automation success, catch the full conversation here