Designing and implementing intelligent automation solutions to transform manual processes into digital, automated workflows, enhancing efficiency and reducing costs.
Workflow Automation and Operational Throughput Improvement
- Define data sources (systems, devices, logs, files).
- Set validation rules to ensure data accuracy and completeness.
Identify critical control points (CCPs) and measurement levels.
- Build operational, tactical, and strategic dashboards.
- Configure automated alerts, thresholds, and escalation mechanisms.
- Classify exceptions, open corrective tickets, and track actions.
- Establish clear approval workflows for decision-making.
- Maintain unified logs for activities, approvals, and evidence packs.
- Apply retention policies aligned with compliance requirements.
- Generate daily/weekly summaries, exception lists, and trend analysis.
- Provide data-driven insights for decision-making.
- Implement access controls, encryption, and data sanitization.
- Align with governance and regulatory requirements.
- Define scope and objectives: sites, processes, assets, and critical control points.
- Gather requirements: operational limits, escalation rules, compliance needs.
Analyze current state and gaps: existing monitoring methods and pain points.
- Design data model and validation rules.
- Create dashboard prototypes and alert scenarios.
- Define workflows for exceptions and corrective actions.
- Build ETL/ELT pipelines for data extraction and transformation.
- Develop dashboards and configure alerts.
Implement security and compliance policies.
- Conduct functional and performance tests.
- Validate compliance and audit readiness.
Address defects and optimize configurations.
- Launch pilot in a limited scope, train users, and collect feedback.
- Expand gradually based on lessons learned.
Manage change with training materials and support.
- Monitor performance and compliance regularly.
- Apply periodic enhancements and automation.
Review governance policies and update documentation.