Stop chasing data across disconnected tools. Get a unified aggregation layer that connects your PSA ecosystem into one operational view.
Fragmented PSA data costs you hours daily. Time-tracking, billing, resource planning, and client reporting happen across disconnected tools—creating revenue leakage, missed deadlines, and zero executive visibility.
A production-ready connector that aggregates time-tracking, resource planning, and billing data from your top 3 PSA sources into a single normalized data layer. Includes schema mappings and transformation logic.
Auto-generated documentation of all schema conflicts, field type mismatches, and data quality issues detected across your PSA tools. Each mismatch includes recommended resolution paths and priority severity ratings.
Real-time monitoring dashboard configuration that surfaces revenue-leak risk flags: unbilled hours drift, resource over-allocation windows, and billing discrepancy alerts. Ready to deploy to your preferred BI layer.
Complete deployment-ready configuration package for your three PSA sources: authentication credentials template, API rate limit handling, retry logic, and webhook endpoint mappings. Includes environment-specific variable reference.
Step-by-step operations guide for maintaining the unified data layer: health check procedures, schema update workflows, escalation paths for data anomalies, and performance tuning recommendations for scale.
The sprint delivers connectors for your three highest-priority PSA sources. Common targets include time-tracking platforms (Harvest, Toggl, Clockify), resource management systems (Resource Guru, Float, 10,000ft), and billing tools (FreshBooks, Xero, QuickBooks). You specify the tools during kickoff based on your current stack.
The sprint delivers a tested, extensible framework. Additional connectors can be added in subsequent sprints or contracted separately at a reduced rate since the base architecture is already established. The unified data schema is designed for horizontal scaling.
The runbook is written for operations staff with basic technical literacy. If you have an internal dev team, they can extend the connector; if not, the self-service health checks and monitoring alerts are designed for non-technical stakeholders. No dedicated engineering required for day-to-day operation.
The schema mismatch detection report and validation tests included in the deliverables flag breaking changes before they cascade. The connector includes webhook-based change detection for supported APIs. For unsupported platforms, the health check procedures in the runbook surface anomalies for manual resolution.