Workflow diagram: HRMS and Finance records meet at a comparison step that sorts them into Matched and Flagged, ending at a Cycle Cleared badge.
HR / Finance

Automate Payroll Sync

Keep payroll data in sync across HRMS and finance systems automatically.

Reconciled before it runs

Fewer pay errors

Discrepancies between HR and payroll surface before the pay run, not in a correction cycle afterwards.

Every cycle evidenced

Provable accuracy

Each run records what was transferred and what changed, so finance can show how a figure was reached.

Hours back each cycle

Effort saved

The manual export, reformat, and re-key that consumes payroll teams before each deadline is handled by the workflow.

One governed workflow across systems that never talked.

Who it's for
Payroll and HR operations teams reconciling employee, time, and compensation data between systems before every pay run.
What it does
A scheduled workflow that moves and reconciles payroll-relevant data, flagging discrepancies before they reach a payment.
Systems involved
Your HRMS, time and attendance, and payroll platforms — connected through the REST Client, with dedicated activities built on request.
How it stays governed
Masking on compensation data, approval routing for exceptions, and a complete record of every cycle.

What this looks like today

The friction that makes this workflow expensive to run by hand.

01

Deadline

The cycle is a manual scramble

Exports, spreadsheets, and re-keying compress into the days before each deadline, when there is least time to catch a mistake.

Manual re-keyingTime pressure
02

Accuracy

Discrepancies surface after payment

A mismatch between HR and payroll becomes visible when someone is paid wrongly — the most expensive and least private moment to find it.

CorrectionsEmployee trust
03

Evidence

Hard to show how a figure was reached

When a number is questioned, the trail runs through spreadsheets and inboxes rather than a system anyone can audit.

Audit gapsManual evidence

The workflow

How Koodisi runs it

Koodisi automates payroll data synchronization between HRMS and payroll processors — ensuring employee compensation, tax, and benefit data is always current without manual intervention.

01

Collect on the payroll calendar

The workflow runs on the cycle you already work to, pulling employee, time, and compensation changes since the last run.

Scheduled triggers reading through the REST Client.

02

Normalise the formats

Payroll platforms expect specific layouts. Data is translated into what the platform requires rather than being hand-shaped each cycle.

Conversion across CSV, JSON, XML, and fixed-width formats.

03

Reconcile before anything is submitted

Records are compared across systems and anything that disagrees — a missing starter, a changed rate, an unexpected variance — is flagged rather than passed through.

Decision tables define which variances are material.

04

Route exceptions to a person

Flagged records go to payroll for a decision, with the conflicting values shown side by side. Clean records continue without waiting.

The workflow waits on the decision and records it.

05

Submit and confirm

Approved data is written to payroll and read back to confirm acceptance, so a rejected batch is never mistaken for a completed one.

Retry policies for transient failures; confirmed results are logged.

06

Produce the cycle record

Each run leaves a record of what moved, what was flagged, who decided, and what was submitted.

Execution logging with per-record status.

Connectivity

The systems in this workflow

Koodisi orchestrates the platforms this workflow touches — through the REST Client today, and through a dedicated activity whenever you need one.

The capability underneath

Every workflow above is assembled from the same governed building blocks — which is why connecting one more system is a day of work, not a project.

Connect to anything

  • REST and webhook connectivity with managed authentication (4 activities)
  • Secure file transfer over SFTP (5 activities)
  • Direct database reads and writes (4 activities)

Move and reshape data

  • Translate between CSV, JSON, XML, and fixed-width formats (6 activities)
  • Field-level mapping between systems that model data differently
  • High-volume batch processing with per-record tracking (7 activities)

Decide and protect

  • Decision tables for approval and routing rules your team can read
  • Encryption, hashing, and signature verification on sensitive fields
  • Retry policies, error handling, and full execution logging

Business systems connect through Koodisi’s REST Client, and our team builds dedicated activities for the ones you depend on — typically within a day of you asking.

Request a system →

Governance

Automated, but still under control

Every run is authorised, recorded, and observable — the part that decides whether automation survives an audit.

Compensation masked in logs

Salary and bank details are masked so the run record can be reviewed without exposing pay data.

Variance rules you can read

What counts as a material discrepancy is defined in a decision table finance can review and adjust.

Separated duties

Permission scopes keep the people who design the workflow distinct from those who approve exceptions and release runs.

Every cycle recorded

Each run captures inputs, flagged records, decisions, and submissions with before and after state.

Credentials in Key Vault

Payroll and HRMS credentials are stored in Key Vault and referenced at run time.

Watchable against the deadline

OpenTelemetry traces show progress and failures while there is still time to act.

FAQ

Frequently asked questions

Still have a question? Talk to our team.

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