Services
RevOps
Tech Stack Integration Diagnosis
Audit how your tools connect and identify sync failures, data gaps, and integration debt that slows operations.
Performance
B2B revenue teams run a lot of tools. Each integration was probably set up correctly at some point. Then a field got renamed, a tool updated, a new workflow was added, and the sync started dropping data in ways nobody noticed for months. The integration diagnosis maps your full stack, tests every connection against what it should be passing, and identifies both the breaks and the gaps: data that exists in one tool that would improve decisions in another but isn't being transferred.
B2B revenue teams typically run 8 to 15 tools across marketing, sales, and CS. Each integration was probably set up correctly at some point. But integrations break when data models change, when tool versions update, when fields get renamed, and when someone adds a new workflow that writes to a field that three integrations are already writing to. By the time a data loss is noticed, it's been happening for weeks.
The less visible problem is incomplete integration: tools that are connected but passing only part of the data they could, syncs that work in one direction but not both, and data that exists in three places but doesn't match across any of them. The stack works, technically. But the data picture it produces is fragmented.
What we do
We map your full tech stack and every integration between tools, then test each integration against what it should be passing. We check field mapping accuracy, sync frequency, data loss patterns, and conflict logic for fields written to by multiple systems. We also identify integration gaps: data that exists in one tool that would improve decisions in another but isn't being passed.
For context on what this type of analysis typically surfaces, read how integration gaps cause data to vanish between tools.
Deliverable
A tech stack integration report with a complete integration map, failure and gap analysis by connection, fix prioritization by revenue impact, and implementation recommendations for each finding. Includes a monitoring framework for detecting future integration failures before they cause significant data loss.
Outcome
A stack where data flows as designed. No more contacts that exist in your marketing tool but not your CRM. No more deals that close in one system before the information updates in another. A foundation for reporting that can actually be trusted because the underlying data is complete.
How Veloxa Stopped a Leaky Funnel and Grew Conversions by 22% — recovered $1.2M in pipeline, cut CPL by 40%, and grew conversions by 22%.
See how it worked in practice: Bridgepoint built revenue visibility across 6 portfolio companies.
Best Fit
For any company that has grown its tech stack over time through sequential tool additions rather than a planned architecture. Particularly relevant after any major tool change, CRM migration, or team restructuring that required new integration work. If your RevOps team spends meaningful time reconciling data between systems, the integration layer is the problem.