We start by defining a clear data architecture that establishes which system is the "master" for each data element. Then we implement validation rules, automated reconciliation checks, and exception handling workflows. During parallel runs, we compare outputs from the new interfaces against existing reports to identify and resolve discrepancies before going live. Ongoing monitoring alerts your team to any sync issues immediately.

In most cases, no. We design interfaces that work with your systems as they are, using standard APIs, database connections, or middleware. Where configuration changes are beneficial (such as adding custom fields or adjusting data structures), we document the business case and work with your IT team or vendor to implement them in a controlled manner. Our goal is integration, not disruption.

We build resilience into every integration. This includes error logging, retry logic, and alerting mechanisms so your IT team knows immediately when something needs attention. We also document rollback procedures and manual workarounds for critical processes. During implementation, we establish service-level expectations and support protocols to minimise business impact from technical issues.

That's determined during our initial review and stakeholder workshops. We work with your leadership, finance, and operations teams to identify the decisions that matter most and the information gaps that cause the most significant delays or disputes. We then prioritize dashboards that address high-impact, high-frequency decisions first, typically covering financial performance, operational bottlenecks, and client/project health.