Reconciliation starts with traceable data

What financial back-office systems need from their data pipelines, calculations and operating controls.

Make differences visible

Reconciliation compares records from sources with different timing, identifiers and conventions. A dependable process exposes differences and routes exceptions for review rather than silently forcing the totals to agree.

For digital-asset workflows, sources may include internal records, exchanges, custody systems and on-chain activity. The relevant sources and controls depend on the business.

Define the rules before automating them

Agree identifiers, time boundaries, fees, rounding and correction handling. Keep source lineage so a reviewer can trace a number back to the underlying records and the transformation applied.

These are engineering considerations, not a claim that software alone establishes regulatory compliance. Controls and acceptance criteria need review by the organisation responsible for the process.

Deliver an operable process

Include validation, monitoring, exception queues and a runbook. Test failure conditions as well as the matching path. BiSkilled’s documented delivery process helps keep the agreed rules connected to implementation changes.

Read about Tal’s blockchain infrastructure work. That example concerns infrastructure delivery; it is not a claim that this illustrative reconciliation workflow was built for that client.

Bring us the data problem.

We can help scope a practical first step, from an unreliable report to a system integration or data model.

Discuss your data project