Duplicate charges, dropped transactions, customers billed on two systems, and audit trails that stop mid-year. None of it announces itself. It shows up months later in the numbers, usually after the integration has been declared complete and the team has moved on.
Meanwhile the transition services agreement is running down, and every month of extension costs real money. The pressure is to move fast. The risk is that speed and correctness are treated as a trade.
We start with the processes that touch money and customers, and work out which can be merged, which must be rebuilt, and which can be left alone until later.
Revenue and customer process inventory
System overlap and gap analysis
TSA dependency and deadline mapping
Two customer masters becoming one is where most of the damage happens. Matching, deduplication, and history migration are handled with reconciliation at every step.
Customer and account matching
Data migration with completeness checks
History and entitlement preservation
Order to cash, billing, and settlement are brought onto one path, with the exceptions each business handled differently made explicit rather than lost.
Target process design across both estates
Exception and edge case reconciliation
Interim dual-run design
Cutover is rehearsed, then run in slices, then reconciled. You finish with evidence of completeness rather than an assurance that it went fine.
Cutover rehearsal and rollback plan
Transaction-level reconciliation
Post-integration assurance reporting
Smart tolling systems with real-time analytics, AI enforcement, and digital twins for predictive traffic management
Secure, intelligent banking through automation, fraud detection, and personalized financial journeys
Resilient event-driven platforms boost shipment visibility, optimize inventory, and streamline multi-party logistics workflows.
Automated claims, GenAI-enhanced support, and improved underwriting through predictive analytics.
Smart digital products with GenAI, cloud-native design, and behavior-driven personalization
Predictive maintenance, digital twins, and intelligent, durable product engineering for efficiency.
Optimizing operations with IoT-driven monitoring, predictive asset management, and sustainability insights.
Digital public services with AI-led systems for eligibility, identity, and transparent governance.
Personalized shopping with AI recommendations, scalable infrastructure, and deep data analytics.
Global transformation, engineered with precision and trusted at scale.