A staging-first reconciliation layer that runs alongside QuickBooks and Canopy, cutting manual matching from 2 to 3 days per cycle down to same-day.
A multi-entity CPA firm running QuickBooks and Canopy across diverse client portfolios. Read-only integration, immutable staging, and a versioned rules engine reconcile records every day. No system changes, no mid-year migration, no risk to client workflows.
Three layers turn a multi-day manual chore into a same-day, auditable, mostly-automated process, without touching production.
The biggest blocker to reconciliation tooling is the fear of breaking production. A read-only, staging-first design removes that risk entirely. The firm gets a reconciliation engine without a migration, a system swap, or a single change to how the team already works.
Deterministic, versioned rules mean the firm is not trusting a black box. Every match is explainable and reproducible. Experts stop re-doing the same matches every cycle and only touch the genuine exceptions, which is where their judgment actually adds value.
Experts stay in the loop, but their time compounds instead of repeating. Each correction teaches the system, so automation coverage grows over time. Leadership gets reconciled numbers they can trust, with a defensible record behind every figure.
A phased, parallel-run deployment: prove value on the critical system pairs first, then expand, with no production disruption at any step.
Read-only API connections to QuickBooks and Canopy stood up, with immutable staging tables and raw-data preservation for audit and replay.
REST API polling, immutable staging, orchestration with retries, backoff, and dead-letter handling.
A safe foundation that touches nothing in production. The firm keeps operating exactly as before while the layer is built around it.
Initial reconciliation rules deployed and iterated against the team's feedback, with the exception queue and human-review interface live. Critical system pairs reconciled first, delivering measurable time savings within 6 weeks.
Versioned deterministic transforms, priority-scored PostgreSQL exception queue, lightweight web review UI, single source of truth with lineage.
Reconciliation drops from 2 to 3 days to same-day. 80%+ of recurring matches automated. Senior staff reallocated to billable advisory work.
The weekly process dropped from 2 to 3 days down to same-day, a 60 to 75% reduction in reconciliation time and cost per cycle.
Senior accountants reallocated to billable advisory work and strategic initiatives.
Reconciliation labor was a recurring drain on the firm's highest-billing staff. Cutting it 60 to 75% turns lost senior hours back into billable capacity, with a modeled payback of roughly 2 to 3 months.
More than 80% of recurring reconciliation issues are now resolved automatically. The system learns from expert corrections and reuses them.
Experts focus only on true edge cases. The firm can grow its client portfolio without proportional headcount.
Reconciliation capacity stops being a bottleneck for portfolio expansion. The firm can take on more entities, and absorb M&A integrations, without scaling reconciliation staff in lockstep.
A phased, parallel-run deployment delivered measurable time savings within 6 weeks, with zero production disruption or system changes.
Single source of truth with full lineage restored leadership confidence in financial metrics.
Fast, low-risk time to value. Because nothing in production changed, there was no migration cost, no downtime, and no disruption to client work, just a reconciliation engine running alongside what already worked.
Manual reconciliation was variable cost scaling with the size of the client portfolio, paid in the firm's most expensive senior hours. The reconciliation layer is fixed infrastructure that runs daily on its own.
Add more entities or clients? The same engine reconciles them. Variable senior labor becomes fixed technology leverage, and the recovered hours flow straight back into billable work.
Immutable staging, versioned deterministic rules, and a complete audit trail mean every reconciled figure is explainable and reproducible. The cross-system report disagreements are gone.
Leadership gets a single source of truth they can defend to a board or an auditor. Anomaly detection stops bad data before it ever reaches a stakeholder.
With 80%+ of recurring matches automated and experts focused on edge cases only, reconciliation capacity is no longer the constraint on growth.
The firm can expand its portfolio or take on acquisitions without adding reconciliation staff in proportion. One build, compounding leverage on every future cycle.
