Bot Deployment: Managing Change and Adoption in a Shared Services Environment
A global shared services center employs 200 people processing accounts payable (AP) and accounts receivable (AR) transactions. The company has deployed 10 RPA bots over the past 6 months, automating 30% of AP invoice processing and 20% of AR cash application. The bots are running well technically, but employee adoption is low. Employees are resistant, fearing job losses. Some are deliberately not using the bots or finding workarounds. The center's management is concerned about achieving the planned 40% automation by year-end. The RPA team has been focusing on technical deployment and has not invested in change management. The company has a budget for change management but it hasn't been used. The center has a high turnover rate (20% annually).
1. Diagnose the reasons for low adoption. What change management strategies would you implement to increase adoption and achieve the automation target? Be specific and consider the high turnover.
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Diagnosis:
- Fear of job loss due to lack of communication about redeployment.
- No involvement of employees in bot design; bots may not reflect actual work.
- Lack of training on how to work with bots.
- No incentives for using bots.
- Workarounds indicate bots are not user-friendly or reliable.
- High turnover means constant onboarding, so training must be efficient.
Strategies:
- Communication: Transparently communicate the purpose of automation: augment, not replace. Share plans for redeployment and upskilling.
- Involvement: Include employees in bot design and testing (e.g., process experts).
- Training: Develop role-based training on bot interaction, exception handling, and new skills (e.g., data analysis). Use micro-learning for high turnover.
- Incentives: Recognize and reward employees who embrace automation. Tie performance metrics to bot utilization.
- Support: Establish a help desk for bot issues. Create a feedback loop for improvements.
- Leadership: Visible sponsorship from center leadership.
- Quick wins: Show early successes and share stories.
Judgment: The 40% target by year-end is at risk. A phased approach: first stabilize adoption with change management, then scale. Also, consider that high turnover may be due to fear; addressing it can reduce turnover. Allocate budget for change management immediately.
2. How would you measure the effectiveness of the change management program? What metrics would you track?
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Metrics:
- Adoption rate: Percentage of transactions processed by bots vs. manual.
- Utilization: Percentage of employees actively using bots.
- Workaround incidents: Number of reported workarounds or bypasses.
- Employee sentiment: Surveys on fear of job loss, satisfaction with bots.
- Training completion: Percentage of employees trained.
- Turnover rate: Track if it decreases.
- Bot exception rate: If high, may indicate employees not using bots correctly.
- Time to proficiency: For new hires, how quickly they use bots.
Judgment: Metrics should be leading and lagging. Leading: training completion, sentiment. Lagging: adoption rate, turnover. Also, track business outcomes: cycle time, error rate. Use a dashboard to monitor. The change management program should be iterative; adjust based on feedback.