A client faced serious regulatory scrutiny after experiencing fraud, revealing weaknesses in their internal controls. They risked massive fines and needed to strengthen compliance and reduce operational risks.

Their key challenges included:

They wanted Continuous Control Monitoring over their Procure-to-Pay process to detect, prevent, and respond to high-risk activities. We designed and implemented an automated monitoring solution that provided real-time risk detection and workflow-based escalation, ensuring business-wide compliance and fraud prevention.

Automated Exception Detection:
Delivered a set of analytic routines to run overnight and flag high-risk activities, including:
✔ Unauthorised purchases lacking expected approvals
✔ Segregation of duty conflicts with one person handling multiple related transactions
✔ High-risk payments to high-risk countries or unknown accounts
✔ Critical Master data changes such as new vendors or bank account updates
✔ Policy & system configuration changes such as approval limits, tolerances, and controls

‍Real-Time Alerts & Notifications
Implemented an automated alert system that:
✔ Notified the manager of the responsible employee immediately.
✔ Sent email and SMS alerts for critical process events and transactions.
✔ Forced transaction or change approval before further processing.

Automated Workflow & Escalation
‍Introduced a hierarchy-based escalation system:
✔ If the responsible manager did not approve within 48 hours, the alert escalated to their superior.
✔ Triggers were customised based on risk severity, allowing flexibility across different risk areas.
✔ Overtime, the escalation system adapted as business practices improved.

Multi-Entity Rollout & Regulatory Reporting
✔ Rolled out the solution across business units, tailoring controls for local needs.
✔ Provided automated reporting to management and demonstrated control to regulators.
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A client was struggling to manage their working capital effectively, resulting in cash flow issues, disputes, and unnecessary manual work. They lacked clear visibility into their Accounts Payable and Accounts Receivable processes, and experienced inconsistent use of payment terms, system misconfigurations, and behavior driven by personal goals over company performance. We conducted an in-depth analysis of their accounts payable and receivable data, uncovering four major areas of improvement:
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Incorrectly Configured Payment Terms
Two payment terms had been misconfigured, leading to unexpected delays in invoice due dates and negatively impacting cash flow.
✔ Identified and corrected the system configuration, ensuring accurate due date calculations.

Inconsistent Payment Term Use
Employees were applying payment terms inconsistently, using ones they were familiar with rather than those aligned with supplier agreements or internal policies.
✔ Enabled automated term assignment based on contract data and internal rules, reducing human error and policy violations.

Baseline Date Overrides for Personal Gain
Sales teams were manipulating invoice dates at year-end to secure bonuses, effectively extending payment deadlines without detection.
✔ Limited system access to baseline date changes and built detection alerting supervisors to pick up unexpected changes.

Inefficient Payment Cycles
The client only had two payment cycles per week and relied on frequent manual payments, causing unnecessary workload and cash flow instability.
✔ Optimised the payment cycles, introducing a third run per week, reducing off-cycle payments, and implementing training for better data entry.
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A client was preparing for a system upgrade but recognised that improving their processes first would reduce complexity, cost, and implementation time while maximising long-term benefits. Without addressing process inefficiencies and inconsistencies, they risked:

To ensure a successful and cost-effective system transition we analysed current processes and mapped execution to the new system. We structured the engagement into four key phases:
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Assessing Current Process Practices via Data Analysis
We conducted a data-driven analysis of their maintenance processes across multiple sites, uncovering:
✔ Significant inconsistencies in how maintenance plans and order types were used.
✔ Challenges in comparing results across locations due to varying practices.
✔ Data quality issues that affected accurate reporting and process execution.
This identified opportunities for standardisation, ensuring a more consistent, efficient, and high-quality processes and setup before system migration.
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Mapping Process Execution to the New System’s Functionality
We mapped the actual business process execution against the new system’s features, revealing:
✔ Gaps in system functionality where legacy processes didn’t align.
✔ Areas where customisation might be required to retain critical business practices.
✔ Opportunities to standardise processes instead of costly add-ons and custom add-ons.
This helped the client decide:
-  Which customisations were necessary and worth the investment.
-  Where practices could be adjusted to fit standard functionality, avoiding future maintenance costs.
-  How to align processes with industry best practices rather than reinforcing legacy inefficiencies.

Testing New System Functionality
Using real and simulated data ensured the transition was smooth by:
✔ Using existing data to test unchanged processes.
✔ Simulating new practices to validate system compatibility.
✔ Identifying potential issues before full deployment.
This reduced implementation risks and ensured that processes worked as expected before go-live.
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Post-Implementation Review & Continuous Improvement
After implementation, we conducted a post-migration process evaluation to:
✔ Validate what was working well and ensure process improvements were realised.
✔ Quickly address areas where things weren’t working as intended before they became long-term issues.
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