| Risk | Description | Mitigation |
|---|---|---|
| Poor Documentation | Lack of detailed documentation and unaddressed questions may lead to incorrect delivery. | Establish documentation standards and templates. Conduct regular walkthroughs and reviews with stakeholders. |
| Missing Related Stats | Absence of key metrics (volume, AHT, SLA, etc.) can lead to inaccurate design. | Gather and validate all relevant stats early in discovery. Maintain a version-controlled process metrics sheet. |
| Static Design | Rigid automation design makes adapting to changes difficult. | Use modular, scalable architecture. Plan for configuration-driven design to adapt without recoding. |
| Lack of Exception Handling | Bots may crash on encountering unexpected inputs (e.g., incorrect file format). | Design robust exception and fallback handling mechanisms. Incorporate retry logic and alerting systems. |
| Testing & Debugging Complexities | Extensive testing is needed to ensure stability in different environments. | Develop test cases for each scenario. Use staging environments that mirror production. Leverage automated testing tools. |
| Insufficient Process Understanding | Automating incorrect or incomplete workflows due to poor process mapping. | Conduct workshops with SMEs. Use process mining or task capture tools to validate understanding. |
| Risk | Description | Mitigation |
|---|---|---|
| Regulatory Changes | Bots may fall out of compliance when regulations change. | Schedule periodic compliance reviews. Use config files to adapt to regulatory changes without code modifications. |
| Auditability | Lack of logs and tracking hinders audits and compliance checks. | Implement detailed logging and maintain audit trails. Use centralized logging solutions. |
| Inadequate Access Control | Bots may access unauthorized data without role-based controls. | Implement strict RBAC (Role-Based Access Control). Use identity management systems to track access. |
| Sensitive Data Handling | Risk of data leakage if bots are not secured properly. | Use encryption for data in transit and at rest. Mask sensitive information during processing. Implement secure credential vaults. |
| Risk | Description | Mitigation |
|---|---|---|
| Uninformed Changes | UI/system changes may break bots if not communicated. | Establish change management protocols. Automate UI testing alerts. Ensure SMEs notify RPA team in advance. |
| Credential Policy & Access | Unexpected OS updates or password changes can disable bots. | Use service accounts with non-expiring credentials. Schedule updates with notification protocols. |
| Scalability Challenges | Managing multiple bots without orchestration leads to inefficiency. | Use centralized RPA control platforms (e.g., UiPath Orchestrator, Blue Prism Control Room). Plan for scale from Day 1. |
| Log Retention & Reporting | Lack of transaction logs may lead to tracking issues. | Enable structured logs. Define retention policy and reporting templates for bot operations. |
| Job Monitoring | Bots may fail silently without active monitoring. | Set up monitoring dashboards and alerts for job failures, stuck bots, and missed schedules. |
| Continuous Improvement | BOT performance may degrade if not reviewed post-deployment. | Establish post-go-live review checkpoints. Track KPIs quarterly. Use user feedback for enhancements. |
| Employee Resistance | Misconceptions about RPA may reduce adoption. | Communicate benefits early. Run workshops and involve employees in bot design. Reassure roles are enhanced, not replaced. |
