A finance firm needed client-specific QuickBooks reporting at scale, but the marketplace connector path meant recurring per-client fees and a reporting layer they didn't fully control.
Outcome
$1,000+ saved vs. third-party connector path (and growing)
Outcome
Per-client isolation with RBAC across the warehouse
Outcome
Owned infrastructure instead of a vendor dependency
The Challenge
The firm served multiple clients on QuickBooks Online and wanted to deliver tailored reporting and dashboards to each. The off-the-shelf path was a third-party data connector with predictable, recurring per-connection costs and a constrained data model.
More importantly, the firm wanted ownership: control over what data it cached, how reports were defined, who could see what, and how performance scaled as more clients were added.
The Solution
Build the data layer on infrastructure the firm owns
- Direct QuickBooks Online API integration into a BigQuery warehouse on Google Cloud
- Cloud Run service handling sync, retries, and per-client isolation
- Looker Studio as the reporting front end, so client-facing dashboards stayed familiar
Set up cost and access controls from the start
- Caching to avoid redundant API calls and keep warehouse cost flat as the client list grew
- Role-based access control so each engagement sees only its own data
- Prompt caching on the AI assistant layer to keep per-question latency and cost predictable
The Results
The firm replaced a recurring connector fee with infrastructure it owns. Realized savings cleared $1,000 versus the original third-party path and continue to compound as more clients are added.
The dollars are the smallest part of it. The firm controls the reporting surface now. A new client question becomes a query change, not a vendor ticket.
Services Used
Engagement details anonymized at the client's request. Cost figures reflect realized savings during the engagement.