Getting It Right Where It Matters: Reconciling Financial Data

Financial data is the foundation of every business decision.

It drives board reporting, tax filings, audits, and investor confidence. When that data is migrated—whether during an ERP upgrade or a billing system transition—accuracy is non-negotiable. Even a small discrepancy can ripple across systems and processes, leading to confusion, compliance risk, or worse. In this context, "close enough" isn’t close at all.

Reconciliation is one of the more difficult parts of any financial data migration.

It requires aligning records across systems to ensure consistency between the source and destination. This can be especially tricky when dealing with complex financial data like revenue recognition schedules, billing histories, or deferred revenue. The process often depends on tight collaboration between IT teams, who handle the technical implementation, and finance teams, who understand the meaning behind the numbers. Each round of reconciliation involves feedback, updates, and validation.

One source of friction lies in the human coordination behind these iterations.

Each cycle takes time and can introduce miscommunication between finance and IT. Finance professionals need to revalidate outputs, while technical teams update scripts and pipelines. In the process, context can fade and assumptions drift—adding risk and slowing momentum.

At Doyen, we aim to reduce this friction by closing the gap between the business and the data.

Our platform helps in this process by letting finance professionals use natural language to describe business rules and evaluate their impact. IT teams can also use the platform to inspect and adjust technical migration details when special attention is needed. Our goal is to use AI and agents to dramatically accelerate the time it takes to enable high-quality financial and billing migrations.